{"id":62660,"date":"2025-11-25T00:55:42","date_gmt":"2025-11-24T23:55:42","guid":{"rendered":"https:\/\/excire.com\/?p=62660"},"modified":"2026-01-26T07:16:58","modified_gmt":"2026-01-26T06:16:58","slug":"lightroom-classic-ai-culling-vs-excire-search-plugin","status":"publish","type":"post","link":"https:\/\/excire.com\/en\/lightroom-classic-ai-culling-vs-excire-search-plugin\/","title":{"rendered":"How Good Is Lightroom Classic\u2019s New AI Culling? Testing Against Excire Search 2026"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"62660\" class=\"elementor elementor-62660\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-7c0f31cf elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7c0f31cf\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-1d1d2870\" data-id=\"1d1d2870\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-56e36a8a elementor-widget elementor-widget-text-editor\" data-id=\"56e36a8a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\n<p><a href=\"https:\/\/excire.com\/en\/photography-culling\/\" target=\"_blank\" rel=\"noreferrer noopener\">AI-powered culling software<\/a> is <em>not <\/em>new. If you want to streamline your culling workflow with AI, you have a variety of standalone programs and platforms available: Imagen AI, Narrative Select, Excire Foto 2025, and Aftershoot, to name a few.<\/p>\n\n\n\n<p>But for dedicated Lightroom Classic users, none of these options are ideal; they exist <em>outside <\/em>of the LrC interface and require extra steps to integrate neatly into a Lightroom workflow.<\/p>\n\n\n\n<p>Up until recently, that was the whole story. Lightroom Classic users were essentially stuck choosing between a variety of bad options.&nbsp;<\/p>\n\n\n\n<p>And then\u2026lightning struck. In October 2025, <a href=\"https:\/\/helpx.adobe.com\/lightroom-classic\/help\/assisted-culling.html\" target=\"_blank\" rel=\"noreferrer noopener\">Adobe launched AI-assisted culling for Lightroom Classic<\/a>, a built-in feature designed to streamline photographers\u2019 workflows by automatically selecting the best photos from a batch and rejecting the worst. At the time of writing (November 2025), this feature is still in Early Access. But it\u2019s available to all Lightroom Classic subscribers for free, which makes it an obvious choice for Lightroom Classic users who want an easy way to spend less time on culling workflows.&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img fetchpriority=\"high\" decoding=\"async\" width=\"2082\" height=\"1581\" src=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-1.webp\" alt=\"Lightroom Classic assisted culling in action\" class=\"wp-image-62671\" srcset=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-1.webp 2082w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-1-300x228.webp 300w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-1-1024x778.webp 1024w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-1-768x583.webp 768w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-1-1536x1166.webp 1536w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-1-2048x1555.webp 2048w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-1-16x12.webp 16w\" sizes=\"(max-width: 2082px) 100vw, 2082px\" \/><\/figure>\n\n\n\n<p>Additionally, Excire\u2019s latest Lightroom Classic plugin, <a href=\"https:\/\/excire.com\/en\/excire-search\/\" target=\"_blank\" rel=\"noreferrer noopener\">Excire Search 2026<\/a>, was launched several months prior to Adobe\u2019s release. Excire Search 2026 brings advanced AI-assisted culling directly into Lightroom Classic\u2014though you do need to pay for a lifetime license, which gets you unlimited access to Excire culling tools (in addition to various AI-powered search and organization features).<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img decoding=\"async\" width=\"2560\" height=\"1577\" src=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-2-scaled.webp\" alt=\"Excire Search 2026 culling group view\" class=\"wp-image-62672\" srcset=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-2-scaled.webp 2560w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-2-300x185.webp 300w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-2-1024x631.webp 1024w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-2-768x473.webp 768w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-2-1536x946.webp 1536w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-2-2048x1261.webp 2048w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-2-18x12.webp 18w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/><\/figure>\n\n\n\n<p>This begs the question: Is Lightroom Classic\u2019s new Assisted Culling feature sufficient for most photographers? Or are Excire&#8217;s AI-powered culling tools worth the additional investment?<\/p>\n\n\n\n<p>To find out, I ran a direct comparison. I used Lightroom\u2019s and Excire\u2019s culling tools on two real sets of photos\u2014a portrait session and a bird photography outing\u2014and evaluated the results. Below, I share what I discovered, including comparisons of speed, user experience, control, and accuracy. And I ultimately reveal which AI culling program is best in 2025 (and why).&nbsp;<\/p>\n\n\n\n<p>Let\u2019s dive right in.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Culling in Lightroom Classic vs Excire Search: The Comparison<\/h2>\n\n\n\n<p>Lightroom Classic needs little introduction. It\u2019s been an industry-standard <a href=\"https:\/\/excire.com\/en\/best-photo-organizing-software\/\" target=\"_blank\" rel=\"noreferrer noopener\">photo organizer<\/a> and <a href=\"https:\/\/excire.com\/en\/best-photo-editing-software-pc\/\" target=\"_blank\" rel=\"noreferrer noopener\">editing program<\/a> for well over a decade, and I\u2019ve personally used it for the better part of that period.&nbsp;<\/p>\n\n\n\n<p>However, this comparison marks my first real test of Lightroom Classic\u2019s brand-new AI-assisted culling tools. Since the feature only recently debuted, I\u2019m approaching it with fresh eyes and no preconceived notions about its effectiveness.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img decoding=\"async\" width=\"2560\" height=\"1526\" src=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-3-scaled.webp\" alt=\"Lightroom Classic Assisted Culling grid showing bird images\" class=\"wp-image-62673\" srcset=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-3-scaled.webp 2560w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-3-300x179.webp 300w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-3-1024x610.webp 1024w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-3-768x458.webp 768w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-3-1536x915.webp 1536w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-3-2048x1220.webp 2048w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-3-18x12.webp 18w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/><\/figure>\n\n\n\n<p><a href=\"https:\/\/excire.com\/en\/excire-search\/\" target=\"_blank\" rel=\"noreferrer noopener\">Excire Search 2026<\/a>, on the other hand, is a <a href=\"https:\/\/excire.com\/en\/best-lightroom-plugins\/\" target=\"_blank\" rel=\"noreferrer noopener\">Lightroom Classic plugin<\/a> that offers a variety of AI-powered tools for photo-management, including automatic keywording, AI prompt search, duplicate detection, and smart culling. I\u2019ve been using Excire Search 2026 inside Lightroom for a few months now, so I\u2019m more familiar with its approach to culling. To avoid any bias, though, I tested both tools on the exact same sets of images and evaluated their selections from a fresh, side-by-side perspective.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"2560\" height=\"1350\" src=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-4-scaled.webp\" alt=\"Excire Search 2026 Lightroom plugin showing groups of visually similar bird photos\" class=\"wp-image-62674\" srcset=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-4-scaled.webp 2560w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-4-300x158.webp 300w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-4-1024x540.webp 1024w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-4-768x405.webp 768w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-4-1536x810.webp 1536w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-4-2048x1080.webp 2048w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-4-18x9.webp 18w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/><\/figure>\n\n\n\n<p>Now, both systems claim to identify the \u201cbest shots\u201d automatically, and they both do it non-destructively <em>and <\/em>without ever leaving<em> <\/em>Lightroom, but they differ significantly in approach. Importantly, both tools also process images entirely on your local machine. That means there\u2019s no cloud upload, no external server involvement, and no need to worry about sensitive data being sent off your computer.<\/p>\n\n\n\n<p>In short, the comparison ahead focuses on how these two <a href=\"https:\/\/excire.com\/en\/ai-in-photography\/\" target=\"_blank\" rel=\"noreferrer noopener\">AI-powered photography tools<\/a> perform when asked to do the same job: find the best photos quickly, accurately, and reliably.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">How I Tested Lightroom and Excire<\/h2>\n\n\n\n<p>Note: If you\u2019re eager to jump straight to the verdict, feel free to skip ahead to the results section below. But for those who want a clear picture of the methodology, here\u2019s the full breakdown.&nbsp;<\/p>\n\n\n\n<p>To compare Lightroom Classic\u2019s new Assisted Culling with Excire Search 2026\u2019s dedicated culling tools, I used real-world photoshoots in two very different genres:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Portraiture: Here, I used a couple\u2019s pre-engagement shoot from a professional portrait photographer; the batch contained 879 images.<\/li>\n\n\n\n<li>Wildlife\/Bird photography: I captured these 1986 shorebird and wading bird photos on a fun visit to the Florida coast back in 2018.&nbsp;<\/li>\n<\/ol>\n\n\n\n<p>In both cases, the goal was to narrow the set down to a small collection worth editing.<\/p>\n\n\n\n<p>Now, Lightroom\u2019s culling is currently optimized for portrait images, so I didn\u2019t expect it to perform strongly on wildlife. But Excire\u2019s AI culling isn\u2019t explicitly portrait-centric, so I thought it valuable to observe how both systems handle non-human subjects in a traditional wildlife photography scenario (thousands of photos, many of them blurry, most of them shot in bursts).<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">The Lightroom Classic Setup<\/h3>\n\n\n\n<p>For both shoots, I imported the images normally into Lightroom Classic and then started the analysis by opening the Assisted Culling panel in the Library module. While Lightroom ran its analysis, I chose my selection criteria.&nbsp;<\/p>\n\n\n\n<p>For the portrait session:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>I set the <strong>Eye Focus<\/strong> slider to 100 (fully toward \u201cSharp\u201d), which told Lightroom to select only the images with maximally sharp eyes<\/li>\n\n\n\n<li>I checked the <strong>Eyes Open<\/strong> box, which told Lightroom to reject images where eyes were closed; I also checked the <strong>Reject Photos Without People\u2019s Eyes<\/strong> option.<\/li>\n<\/ul>\n\n\n\n<p>I also told Lightroom to:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Reject Documents and Receipts<\/li>\n\n\n\n<li>Reject Misfires<\/li>\n\n\n\n<li>Reject Exposure Issues<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"467\" height=\"800\" src=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-5.webp\" alt=\"Lightroom Classic portrait culling test settings\" class=\"wp-image-62675\" srcset=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-5.webp 467w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-5-175x300.webp 175w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-5-7x12.webp 7w\" sizes=\"(max-width: 467px) 100vw, 467px\" \/><\/figure>\n\n\n\n<p>For the bird\/wildlife shoot, the process was similar. I initially hoped to use Eye Focus for birds, but after checking a variety of photos, it was clear that Lightroom\u2019s culling system didn\u2019t detect bird eyes at all. Instead, I set the <strong>Subject Focus<\/strong> slider to 100. I used the same set of Reject settings as in the portrait test (<strong>Documents and Receipts<\/strong>, <strong>Misfires<\/strong>, <strong>Exposure Issues<\/strong>).&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"453\" height=\"703\" src=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-6.webp\" alt=\"Lightroom Classic bird and wildlife culling test settings\" class=\"wp-image-62676\" srcset=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-6.webp 453w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-6-193x300.webp 193w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-6-8x12.webp 8w\" sizes=\"(max-width: 453px) 100vw, 453px\" \/><\/figure>\n\n\n\n<p>In both cases, once the culling process was complete, I used the <strong>Batch Actions<\/strong> option to apply green color labels to Lightroom\u2019s selections and red color labels to its rejections, which made it easy to evaluate the results.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"788\" height=\"1014\" src=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-7.webp\" alt=\"Batch Actions dialog in Lightroom Classic\" class=\"wp-image-62677\" srcset=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-7.webp 788w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-7-233x300.webp 233w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-7-768x988.webp 768w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-7-9x12.webp 9w\" sizes=\"(max-width: 788px) 100vw, 788px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">The Excire Search 2026 Setup<\/h3>\n\n\n\n<p>To use the Excire Search plugin, you must first initialize your images in Lightroom Classic. During this process, Excire goes through your files and makes them searchable with prompt search, <a href=\"https:\/\/excire.com\/en\/best-photo-organizers-with-facial-recognition\/\" target=\"_blank\" rel=\"noreferrer noopener\">facial recognition<\/a>, and more; initialization is also when Excire <a href=\"https:\/\/excire.com\/en\/photo-keywording\/\" target=\"_blank\" rel=\"noreferrer noopener\">adds descriptive keywords<\/a> to images.<\/p>\n\n\n\n<p>So I started with initialization, then I created a new culling project and dialed in some basic settings. Excire offers quite a few more culling options than Lightroom\u2014for instance, you can tell Excire to break down your image batches into groups based on content, people, capture-date\/time, visual similarity, and more. And you can tell the AI to select your images based on sharpness, face sharpness, eye sharpness, eyes open, smile, and aesthetics.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1945\" height=\"1500\" src=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-8.webp\" alt=\"Culling Project setup in Excire Search 2026\" class=\"wp-image-62678\" srcset=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-8.webp 1945w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-8-300x231.webp 300w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-8-1024x790.webp 1024w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-8-768x592.webp 768w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-8-1536x1185.webp 1536w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-8-16x12.webp 16w\" sizes=\"(max-width: 1945px) 100vw, 1945px\" \/><\/figure>\n\n\n\n<p>For the portrait session, I grouped images by visual similarity, chose <strong>Content<\/strong> (rather than <strong>Color<\/strong>) as the comparison feature, and left the Strictness slider at its default value of 25. (My goal was to create small sets of photos similar enough to compare meaningfully without becoming too broad or too fragmented.)<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1945\" height=\"1500\" src=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-9.webp\" alt=\"Excire Search culling portrait test settings\" class=\"wp-image-62679\" srcset=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-9.webp 1945w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-9-300x231.webp 300w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-9-1024x790.webp 1024w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-9-768x592.webp 768w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-9-1536x1185.webp 1536w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-9-16x12.webp 16w\" sizes=\"(max-width: 1945px) 100vw, 1945px\" \/><\/figure>\n\n\n\n<p>I then instructed Excire to automatically reject:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Blurry photos<\/li>\n\n\n\n<li>Overexposed and underexposed photos<\/li>\n\n\n\n<li>Photos in which all eyes were closed<br><\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1766\" height=\"1522\" src=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-10.webp\" alt=\"Rejection settings for the portrait culling test in Excire Search 2026\" class=\"wp-image-62680\" srcset=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-10.webp 1766w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-10-300x259.webp 300w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-10-1024x883.webp 1024w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-10-768x662.webp 768w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-10-1536x1324.webp 1536w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-10-14x12.webp 14w\" sizes=\"(max-width: 1766px) 100vw, 1766px\" \/><\/figure>\n\n\n\n<p>Then in the Smart Selection tab, I told Excire to automatically select the top two images from each visually similar group, using the criteria <strong>Eye Sharpness<\/strong>, <strong>Eyes Open<\/strong>, and <strong>Aesthetics<\/strong>.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1792\" height=\"1399\" src=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-11.webp\" alt=\"Excire Search culling test settings for smart selection of images\" class=\"wp-image-62681\" srcset=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-11.webp 1792w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-11-300x234.webp 300w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-11-1024x799.webp 1024w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-11-768x600.webp 768w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-11-1536x1199.webp 1536w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-11-15x12.webp 15w\" sizes=\"(max-width: 1792px) 100vw, 1792px\" \/><\/figure>\n\n\n\n<p>For the wildlife shoot, I again grouped by visual similarity (Strictness: 25) using <strong>Content<\/strong> as the comparison feature. I instructed Excire to automatically reject:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Blurry photos<\/li>\n\n\n\n<li>Overexposed or underexposed photos<\/li>\n<\/ul>\n\n\n\n<p>In the Smart Selection tab, I instructed Excire to choose the top two images from each group using <strong>Sharpness<\/strong> and <strong>Aesthetics<\/strong> as the criteria.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1740\" height=\"1451\" src=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-12.webp\" alt=\"Wildlife photography culling settings with Excire Search 2026\" class=\"wp-image-62682\" srcset=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-12.webp 1740w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-12-300x250.webp 300w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-12-1024x854.webp 1024w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-12-768x640.webp 768w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-12-1536x1281.webp 1536w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-12-14x12.webp 14w\" sizes=\"(max-width: 1740px) 100vw, 1740px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Evaluating the Culling Tools<\/h3>\n\n\n\n<p>Once the culling tests were complete, I evaluated the workflow and results in four key categories:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Speed:<\/strong> How long did each system take to cull the images?&nbsp;&nbsp;<\/li>\n\n\n\n<li><strong>User Experience:<\/strong> How easy and intuitive was each tool to use?<\/li>\n\n\n\n<li><strong>Control &amp; Flexibility:<\/strong> How much influence did I have over the selection process, and how adjustable were the settings?<\/li>\n\n\n\n<li><strong>Accuracy:<\/strong> Did each system choose the same \u201ckeepers\u201d I would have selected manually?<\/li>\n<\/ul>\n\n\n\n<p>For each category, I scored Lightroom Classic and Excire Search 2026 on a scale from 1 to 5, where 5 represented exceptional performance and 1 indicated a deeply disappointing result.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Excire Search 2026 vs Lightroom Classic: AI Culling Test Results<\/h2>\n\n\n\n<p>Before getting into the specifics, it\u2019s worth noting that both Lightroom Classic and Excire Search 2026 handled the test images without technical issues\u2014always a good start! The real differences emerged in how quickly the tools processed large batches, how intuitive they felt to use, how much control they offered, and how accurately they identified the strongest shots.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Speed<\/h3>\n\n\n\n<p>One of the biggest concerns with AI-assisted culling is the time required for analysis. If you\u2019re working under tight deadlines\u2014or simply dislike waiting around\u2014you don\u2019t want to spend hours watching a progress bar before you can start reviewing your selects. So for this comparison, I made sure to carefully measure how long each system took to analyze my test batches.<\/p>\n\n\n\n<p>Although Lightroom Classic offers the option to run its Assisted Culling during import, I chose to begin the process manually for both programs so I could measure the analysis time accurately. It\u2019s also important to note that analysis speed varies depending on the number of photos and the power of your computer. My test batches were fairly large and my hardware is modest, so I expected both programs to take a while.<\/p>\n\n\n\n<p>What mattered most to me, however, is the <strong>relative<\/strong> performance: how Lightroom Classic compared to Excire Search 2026 when given the same task.<\/p>\n\n\n\n<p><strong>Lightroom Classic Analysis Times<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Portrait batch (879 images): 11:22<\/li>\n\n\n\n<li>Wildlife batch (1,986 images): 29:30<\/li>\n<\/ul>\n\n\n\n<p><strong>Excire Search 2026 Analysis Times<\/strong><\/p>\n\n\n\n<p>Excire\u2019s workflow typically involves two stages. First, you initialize your images, which makes them searchable via Excire\u2019s full toolkit and automatically adds descriptive keywords. Second, you run a dedicated culling project, where Excire can group and select\/reject images based on your criteria.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"2560\" height=\"1388\" src=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-13-scaled.webp\" alt=\"Excire Start\/Adjust culling project option\" class=\"wp-image-62683\" srcset=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-13-scaled.webp 2560w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-13-300x163.webp 300w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-13-1024x555.webp 1024w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-13-768x416.webp 768w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-13-1536x833.webp 1536w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-13-2048x1111.webp 2048w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-13-18x10.webp 18w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/><\/figure>\n\n\n\n<p>Below, I\u2019ve listed both times for each batch:<\/p>\n\n\n\n<p>Portrait batch (879 images):<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Initialization: 6:02<\/li>\n\n\n\n<li>Culling: 3:44<\/li>\n<\/ul>\n\n\n\n<p>Wildlife batch (1,986 images):<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Initialization: 12:55<\/li>\n\n\n\n<li>Culling: 7:45<\/li>\n<\/ul>\n\n\n\n<p>Neither program was painfully slow, but Excire worked at a noticeably faster pace\u2014especially once images were initialized. And if you already use Excire for photo search and <a href=\"https:\/\/excire.com\/en\/how-to-organize-photos\/\" target=\"_blank\" rel=\"noreferrer noopener\">organization<\/a>, the culling step itself will feel especially fast. Lightroom Classic took significantly longer, especially on the wildlife batch; nearly 30 minutes is manageable, especially if you don\u2019t mind leaving the tool to run while you work on something else, but it\u2019s not ideal if you routinely process large sets of images.<\/p>\n\n\n\n<p><strong>Lightroom Classic speed rating:<\/strong> 3\/5<br><strong>Excire Search 2026 speed rating:<\/strong> 4.5\/5<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">User Experience<\/h3>\n\n\n\n<p>A culling tool may offer clever AI features, but if it\u2019s difficult or unintuitive to use, it quickly becomes more trouble than it\u2019s worth. With that in mind, here\u2019s how Lightroom Classic and Excire Search 2026 stacked up in terms of day-to-day usability:<\/p>\n\n\n\n<p>If you\u2019re already a longtime Lightroom Classic user (as I am), Adobe\u2019s new Assisted Culling tool will feel easy and familiar. You simply open the Assisted Culling panel in the Library module and Lightroom immediately begins analyzing your images. While the analysis runs, you can set your culling preferences, and the interface presents these options in a clean, straightforward way.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"2560\" height=\"1389\" src=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-14-scaled.webp\" alt=\"Working with the Assisted Culling panel in the Lightroom Classic Library module\" class=\"wp-image-62684\" srcset=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-14-scaled.webp 2560w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-14-300x163.webp 300w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-14-1024x556.webp 1024w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-14-768x417.webp 768w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-14-1536x834.webp 1536w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-14-2048x1111.webp 2048w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-14-18x10.webp 18w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/><\/figure>\n\n\n\n<p>Landing on the right settings for your workflow is also fairly simple, in part because Lightroom doesn\u2019t offer many choices. The only slightly tricky element is determining where to position the Subject Sharpness and Eye Sharpness sliders. In practice, I found that pushing these sliders to 100 was generally the best approach for portrait photos; any lower, and Lightroom returned far too many selects to be helpful. (For example, during the portrait culling test, lowering the Eye Focus slider to the 90+ range produced 740 selects out of 879 images\u2014far too many to be of use.)<\/p>\n\n\n\n<p>Once culling is complete, Lightroom\u2019s presentation of results is solid: Selects are marked with green icons, rejects are marked with red icons, and you can easily toggle between viewing all images, only selects, or only rejects. The <strong>Batch Actions<\/strong> button allows you to automatically apply flags, color labels, or star ratings, and you can choose to send selects or rejects directly into a Collection for faster organization.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"2019\" height=\"1399\" src=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-15.webp\" alt=\"When Lightroom labels &quot;selects,&quot; it adds a green checkmark; when it labels &quot;rejects,&quot; it adds a red x\" class=\"wp-image-62685\" srcset=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-15.webp 2019w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-15-300x208.webp 300w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-15-1024x710.webp 1024w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-15-768x532.webp 768w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-15-1536x1064.webp 1536w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-15-18x12.webp 18w\" sizes=\"(max-width: 2019px) 100vw, 2019px\" \/><\/figure>\n\n\n\n<p>Getting started with Excire\u2019s culling tools is also straightforward. In the Excire Search panel, you click the <strong>Start\/Adjust Culling Project<\/strong> button and configure your preferred settings in the dialog that appears. The workflow <em>is <\/em>slightly more complex than Lightroom\u2019s, primarily because Excire offers more sophisticated options.<\/p>\n\n\n\n<p>Excire\u2019s culling offers three main culling layers:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Grouping:<\/strong> Excire can break your photos into meaningful groups\u2014what I like to think of as photoshoot \u201cchunks\u201d\u2014based on visual similarity, content, people\/faces, capture date\/time, or sequence order.<\/li>\n\n\n\n<li><strong>Sorting: <\/strong>Excire can evaluate a group using adjustable criteria and sort (i.e., order) the images accordingly.&nbsp;<\/li>\n\n\n\n<li><strong>Smart Selection:<\/strong> Here, Excire evaluates each group using adjustable criteria and automatically flags (or stars, or color-labels) the top images within each group.<\/li>\n<\/ul>\n\n\n\n<p>Importantly, Excire never forces you to let the AI choose your images. If you prefer, you can instruct it to group the files\u2014for example, by visual similarity\u2014and then manually review each group yourself (with help from Excire\u2019s Sorting option as needed).&nbsp;<\/p>\n\n\n\n<p>And these groups are easy to work with; each automatically appears as a Collection in Lightroom Classic. If you enable Smart Selection, you\u2019ll also get a dedicated <strong>Selection Collection<\/strong>, which contains all of Excire\u2019s top picks in one place.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1741\" height=\"1146\" src=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-16.webp\" alt=\"Selection collection created by Excire Search 2026 in Lightroom Classic\" class=\"wp-image-62686\" srcset=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-16.webp 1741w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-16-300x197.webp 300w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-16-1024x674.webp 1024w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-16-768x506.webp 768w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-16-1536x1011.webp 1536w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-16-18x12.webp 18w\" sizes=\"(max-width: 1741px) 100vw, 1741px\" \/><\/figure>\n\n\n\n<p>(Excire also includes a <strong>Rejections<\/strong> tab, where you choose criteria that should trigger automatic rejection. Any images rejected by the AI are added to Excire\u2019s <strong>Recycle Bin<\/strong> Collection, making it easy to review or delete them if needed.)<\/p>\n\n\n\n<p>All of this may sound like a lot to configure, and when I first started with Excire Search 2026, it did take me a few minutes to fully grasp the culling workflow. But after one or two uses, the process became very natural. I\u2019d start a culling project, choose my grouping options, set my Smart Selection criteria, and let Excire handle the rest. Once the analysis was finished, I found all my best photos neatly gathered in the Selection Collection, ready for editing.<\/p>\n\n\n\n<p>Excire also provides several helpful tools for manual review, which you can access in the Excire Search Panel. The Culling Group view gives you an overview of all grouped sets:<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"2560\" height=\"1392\" src=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-17-scaled.webp\" alt=\"Excire Search 2026 visual similarity culling groups\" class=\"wp-image-62687\" srcset=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-17-scaled.webp 2560w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-17-300x163.webp 300w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-17-1024x557.webp 1024w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-17-768x418.webp 768w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-17-1536x835.webp 1536w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-17-2048x1114.webp 2048w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-17-18x10.webp 18w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/><\/figure>\n\n\n\n<p>And when you browse images containing people, Excire automatically displays a magnified face preview and applies color labels based on face sharpness:<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"2560\" height=\"1480\" src=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-18-scaled.webp\" alt=\"Excire Search 2026 Panel showing faces with a green box indicating good sharpness\" class=\"wp-image-62688\" srcset=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-18-scaled.webp 2560w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-18-300x173.webp 300w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-18-1024x592.webp 1024w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-18-768x444.webp 768w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-18-1536x888.webp 1536w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-18-2048x1184.webp 2048w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-18-18x10.webp 18w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/><\/figure>\n\n\n\n<p>The latter feature wasn\u2019t helpful for the bird photos, of course, but it made my final pass through the portrait selects much easier.<\/p>\n\n\n\n<p>So which AI culling tool proved easier to use? Overall, I think Lightroom Classic has a slight edge. Its culling workflow includes fewer options, which makes it faster to understand. That said, once you\u2019ve used Excire\u2019s culling tools a few times, the process becomes nearly automatic\u2014and the dedicated Selection Collection is a highly convenient feature that Lightroom doesn\u2019t offer.<\/p>\n\n\n\n<p><strong>Lightroom Classic user experience rating:<\/strong> 4.5\/5<br><strong>Excire Search user experience rating:<\/strong> 4\/5<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Control &amp; Flexibility<\/h3>\n\n\n\n<p>This is an area where Excire Search 2026 really shines. Excire\u2019s culling features are highly configurable, offering a wide range of options that let you tailor the process to your own preferences and shooting style. When you cull with Excire, you\u2019re not boxed into a fixed workflow; instead, the plugin adapts to the way <em>you <\/em>like to work.<\/p>\n\n\n\n<p>When setting up a culling project, you can instruct Excire to group your files based on people, content, visual similarity, capture date, or sequence order\u2014whichever makes the most sense for your shoot. You can even create multiple types of groups for the same batch of images.<\/p>\n\n\n\n<p>In practice, I tend to use <strong>Visual Similarity<\/strong> as my core grouping method across most genres\u2014portraiture, wildlife, landscapes, street photography, and more\u2014because it neatly clusters redundant images. For weddings and other events, however, the <strong>People<\/strong> grouping becomes especially helpful, and when I want to get a sense of what went on throughout a shoot, the <strong>Capture Date<\/strong> grouping (set to quarter- or half-hour intervals) is great. I recommend that you spend a bit of time experimenting to see which groups work best for you; for instance, while I prefer the <strong>Visual Similarity <\/strong>option for wildlife and bird photography, other photographers may find the sequence order grouping more effective (it groups bursts of images).<\/p>\n\n\n\n<p>You can also decide whether you want Excire to automatically choose the best images from each group. And here, you can specify exactly which criteria Excire should prioritize: general sharpness, aesthetics, eye sharpness, face sharpness, smiles, and more. You can even tell Excire how many images to select from each group (or, alternatively, what percentage of each group should be selected). This gives you fine-grained control over how many final picks you receive.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1968\" height=\"1415\" src=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-19.webp\" alt=\"Excire Smart selection options with lots of configurable items\" class=\"wp-image-62689\" srcset=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-19.webp 1968w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-19-300x216.webp 300w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-19-1024x736.webp 1024w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-19-768x552.webp 768w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-19-1536x1104.webp 1536w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-19-18x12.webp 18w\" sizes=\"(max-width: 1968px) 100vw, 1968px\" \/><\/figure>\n\n\n\n<p>This is fundamentally different from Lightroom\u2019s Assisted Culling. With Lightroom, you have no meaningful grouping options aside from the Auto-Stack feature, which is meant to cluster similar images but is tough to integrate into a culling workflow. More importantly, Lightroom gives you no control over the number of images it selects. You are essentially forced to accept whatever quantity the AI delivers\u2014even if that means sorting through hundreds of so-called \u201cbest\u201d shots in order to identify your true keepers.&nbsp;<\/p>\n\n\n\n<p>Lightroom also offers only three variables for determining what counts as a \u201cbest\u201d image: Subject Focus, Eye Focus, and Eyes Open. Excire includes these options, too\u2014but it also offers additional criteria, including aesthetics, face sharpness, and whether the subject is smiling.<\/p>\n\n\n\n<p>I also want to make clear that Lightroom Classic\u2019s Assisted Culling is explicitly designed for photos of people. And at the time of writing, with the tool in the Early Access phase, Adobe has noted that it\u2019s not yet good enough to be used for event photography. This severely limits its potential, and it\u2019s unclear whether Adobe ultimately plans to expand its usefulness beyond portraits and basic event work.<\/p>\n\n\n\n<p>Contrast that with Excire\u2019s culling tools, which certainly offer people-specific features but also work across a wide range of genres, including wildlife, landscapes, architecture, macro, sports, and travel. That breadth of applicability, combined with the plugin\u2019s extensive customization options, makes Excire dramatically more flexible in real-world workflows.<\/p>\n\n\n\n<p><strong>Lightroom Classic control &amp; flexibility rating:<\/strong> 2\/5<br><strong>Excire Search 2026 control &amp; flexibility rating:<\/strong> 5\/5<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Accuracy<\/h3>\n\n\n\n<p>Above all else, accuracy is what matters with AI culling. A speedy, easy-to-use culling tool that can\u2019t recognize a blurry photo is essentially useless. With that in mind, I was curious to see how Lightroom Classic and Excire Search 2026 would stack up in practice.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Lightroom Classic<\/h4>\n\n\n\n<p>For the portrait photoshoot cull, Lightroom selected 497 images and rejected 382. <\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1472\" height=\"1489\" src=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-20.webp\" alt=\"Assisted Culling panel with 497 Selects and 382 Rejects\" class=\"wp-image-62690\" srcset=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-20.webp 1472w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-20-297x300.webp 297w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-20-1012x1024.webp 1012w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-20-768x777.webp 768w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-20-12x12.webp 12w\" sizes=\"(max-width: 1472px) 100vw, 1472px\" \/><\/figure>\n\n\n\n<p>That already felt like far too many selects\u2014roughly half of the entire shoot. About 50% of the images were marked as having 100\/100 Eye Focus, which meant I now had to sift through several hundred photos to find my true keepers\u2014the very task the AI is supposed to reduce.<\/p>\n\n\n\n<p>And when I did go through the individual images, I ran into additional problems. Many photos were rated 100\/100 for both subject sharpness and eye sharpness, yet they weren\u2019t all that sharp. This next image is one that Lightroom selected, yet the main subjects are clearly out of focus (for better viewing, I&#8217;ve zoomed in to 100%):<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"2560\" height=\"1691\" src=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-21-scaled.webp\" alt=\"An image with 100\/100 culling scores in Lightroom zoomed in to show blur\" class=\"wp-image-62691\" srcset=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-21-scaled.webp 2560w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-21-300x198.webp 300w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-21-1024x677.webp 1024w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-21-768x507.webp 768w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-21-1536x1015.webp 1536w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-21-2048x1353.webp 2048w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-21-18x12.webp 18w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/><\/figure>\n\n\n\n<p>And when I looked at the Culling Scores panel, which allows you to view the scores Lightroom has attached to each photo, the ratings were often confusing. Several images had 100\/100 eye sharpness but noticeably lower subject sharpness scores, which doesn\u2019t reflect real-world photographic logic: if the subject isn\u2019t sharp, the eyes shouldn\u2019t be sharp, either.<\/p>\n\n\n\n<p>Lightroom\u2019s eye-state detection was also inconsistent. Some images with clearly closed eyes were labeled \u201cLikely open,\u201d while others with open eyes were marked \u201cLikely closed.\u201d<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"2507\" height=\"1638\" src=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-22.webp\" alt=\"An image that shows two people with eyes closed yet Lightroom marked with &quot;Likely Open&quot; eyes\" class=\"wp-image-62692\" srcset=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-22.webp 2507w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-22-300x196.webp 300w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-22-1024x669.webp 1024w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-22-768x502.webp 768w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-22-1536x1004.webp 1536w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-22-2048x1338.webp 2048w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-22-18x12.webp 18w\" sizes=\"(max-width: 2507px) 100vw, 2507px\" \/><\/figure>\n\n\n\n<p>To Lightroom\u2019s credit, it did a decent job identifying blurry images caused by camera shake. Several obviously unsharp photos received appropriately low sharpness ratings, like this one here:<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"2560\" height=\"1476\" src=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-23-scaled.webp\" alt=\"A blurry image with a low eye focus and subject focus rating\" class=\"wp-image-62693\" srcset=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-23-scaled.webp 2560w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-23-300x173.webp 300w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-23-1024x591.webp 1024w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-23-768x443.webp 768w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-23-1536x886.webp 1536w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-23-2048x1181.webp 2048w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-23-18x10.webp 18w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/><\/figure>\n\n\n\n<p>But overall, the inconsistent evaluations and overwhelming number of selects meant that Lightroom\u2019s Assisted Culling simply wasn\u2019t reliable or sensitive enough to genuinely speed up my workflow.<\/p>\n\n\n\n<p>What about the wildlife photography cull? As expected\u2014given that Adobe explicitly states the tool is designed for people\u2014performance on bird photos was poor.<\/p>\n\n\n\n<p>This time, the results were the reverse of the portrait test: Lightroom selected only 60 out of 1,986 bird images. Because the AI couldn\u2019t detect bird eyes, I relied solely on Subject Focus, but even then Lightroom incorrectly rejected a huge number of tack-sharp photos, such as this one here:<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"2560\" height=\"1637\" src=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-24-scaled.webp\" alt=\"A sharp image of a wading bird that Lightroom marked as very blurry\" class=\"wp-image-62694\" srcset=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-24-scaled.webp 2560w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-24-300x192.webp 300w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-24-1024x655.webp 1024w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-24-768x491.webp 768w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-24-1536x982.webp 1536w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-24-2048x1310.webp 2048w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-24-18x12.webp 18w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/><\/figure>\n\n\n\n<p>At the same time, several of the few images rated 100\/100 for subject sharpness were visibly blurry:<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"2560\" height=\"1332\" src=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-25-scaled.webp\" alt=\"A relatively blurry pelican image that Lightroom marked as very sharp\" class=\"wp-image-62695\" srcset=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-25-scaled.webp 2560w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-25-300x156.webp 300w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-25-1024x533.webp 1024w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-25-768x400.webp 768w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-25-1536x799.webp 1536w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-25-2048x1066.webp 2048w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-25-18x9.webp 18w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/><\/figure>\n\n\n\n<p>Had I been culling this wildlife set for publication on my website or social media, I would have ignored Lightroom\u2019s assessment entirely and culled manually.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Excire Search 2026<\/h4>\n\n\n\n<p>Since Excire allows you to specify the number of images selected per group, I ended up with 138 selects from my portrait cull\u2014two images from each visually similar group. This produced a much smaller, much more manageable set of candidates.<\/p>\n\n\n\n<p>But were they actually good?<\/p>\n\n\n\n<p>I was honestly impressed. At best, the images in my Selection Collection were outstanding; at worst, they were technically sharp and usable. In some cases, I disagreed with Excire\u2019s top choices, but this usually came down to subjective preference. Overall, I was pleased: Excire had narrowed the portrait session down to a high-quality batch from which I could quickly choose my final favorites. And had I instructed Excire to choose only one image per group, I would have ended up with an even tighter set.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"2560\" height=\"1487\" src=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-26-scaled.webp\" alt=\"Excire Search 2026 Smart Selection results\" class=\"wp-image-62696\" srcset=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-26-scaled.webp 2560w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-26-300x174.webp 300w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-26-1024x595.webp 1024w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-26-768x446.webp 768w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-26-1536x892.webp 1536w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-26-2048x1190.webp 2048w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-26-18x10.webp 18w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/><\/figure>\n\n\n\n<p>And when reviewing the bird photoshoot, I was once again surprised by the quality of the picks. Excire doesn\u2019t offer wildlife-specific features, yet its visual similarity groupings were almost flawless. The plugin divided my nearly 2,000 images into about 100 groups and selected the top two photos from each based on sharpness and aesthetics.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"2560\" height=\"1463\" src=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-27-scaled.webp\" alt=\"The Excire selections from a batch of bird images\" class=\"wp-image-62697\" srcset=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-27-scaled.webp 2560w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-27-300x171.webp 300w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-27-1024x585.webp 1024w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-27-768x439.webp 768w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-27-1536x878.webp 1536w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-27-2048x1170.webp 2048w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-27-18x10.webp 18w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/><\/figure>\n\n\n\n<p>Overall, I liked the picks. A few blurry images did appear in the final selections, but that wasn\u2019t really Excire\u2019s fault; when photographing birds in low light, I often end up with at least a few sequences of motion-blurred shots, so in some cases the AI simply had to choose the \u201cbest\u201d among a slew of technically flawed frames.<\/p>\n\n\n\n<p>Even more surprising was how well Excire handled my more artistic bird photos. When I originally took them, I was experimenting heavily with backlighting and sun flare, but Excire still managed to identify strong images in each group.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"2344\" height=\"1957\" src=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-28.webp\" alt=\"Heavily backlit egret image that Excire's AI seemed to like\" class=\"wp-image-62698\" srcset=\"https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-28.webp 2344w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-28-300x250.webp 300w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-28-1024x855.webp 1024w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-28-768x641.webp 768w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-28-1536x1282.webp 1536w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-28-2048x1710.webp 2048w, https:\/\/excire.com\/wp-content\/uploads\/2025\/11\/lightroom-classic-AI-culling-vs-excire-search-28-14x12.webp 14w\" sizes=\"(max-width: 2344px) 100vw, 2344px\" \/><\/figure>\n\n\n\n<p>If I have one small criticism, it\u2019s that Excire didn\u2019t seem to consider bird head angle as part of its aesthetic evaluation. When I\u2019m photographing birds, I am pretty picky about this\u2014but it\u2019s a minor complaint, especially given that Excire isn\u2019t specifically designed for bird workflows.<\/p>\n\n\n\n<p>In the end, Excire genuinely shaved time off my wildlife culling workflow. By grouping the images effectively and producing a high-quality selection set, it gave me a great starting point for a quick final pass.<\/p>\n\n\n\n<p><strong>Lightroom Classic accuracy rating:<\/strong> 2.5\/5<br><strong>Excire Search 2026 accuracy rating:<\/strong> 4\/5<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Overall Verdict<\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><\/td><td><strong>Lightroom Classic<\/strong><\/td><td><strong>Excire Search 2026<\/strong><\/td><\/tr><tr><td><strong>Speed<\/strong><\/td><td>\u2022 Portrait batch: 11:22&nbsp;\u2022 Wildlife batch: 29:30&nbsp;\u2022 Generally slower on large sets<\/td><td>\u2022 Portrait: Init 6:02 + Cull 3:44&nbsp;\u2022 Wildlife: Init 12:55 + Cull 7:45&nbsp;\u2022 Faster overall, especially once images are initialized<\/td><\/tr><tr><td><strong>User Experience<\/strong><\/td><td>\u2022 Simple interface with minimal configuration&nbsp;\u2022 Easy to view and filter selects vs rejects<\/td><td>\u2022 Slightly more complex setup&nbsp;\u2022 Far more configurable&nbsp;\u2022 Automatic grouping + Selection Collections streamline review<\/td><\/tr><tr><td><strong>Control &amp; Flexibility<\/strong><\/td><td>\u2022 Very limited settings\u2022 No control over number of selects<\/td><td>\u2022 Highly customizable grouping\u2022 Adjustable selection criteria&nbsp;\u2022 Full control over number or % of selects<\/td><\/tr><tr><td><strong>Accuracy<\/strong><\/td><td>\u2022 Portraits: too many selects; inconsistent sharpness ratings; errors in eye-open detection&nbsp;\u2022 Wildlife: rejected many sharp files; selected some blurry ones&nbsp;\u2022 Not reliable enough to speed up real workflows<\/td><td>\u2022 Portraits: high-quality, usable selections&nbsp;\u2022 Wildlife: strong visual similarity grouping; consistently good choices&nbsp;\u2022 Occasional subjective differences, but overall very solid<\/td><\/tr><tr><td><strong>Overall Ratings<\/strong><\/td><td>Speed: 3\/5&nbsp;User Experience: 4.5\/5&nbsp;Control: 2\/5&nbsp;Accuracy: 2.5\/5<\/td><td>Speed: 4.5\/5&nbsp;User Experience: 4\/5&nbsp;Control: 5\/5&nbsp;Accuracy: 4\/5<\/td><\/tr><tr><td><strong>Best For<\/strong><\/td><td>Lightroom users who want something very simple and fully integrated\u2014and who mainly shoot portraits<\/td><td>Photographers who want accurate, flexible, and genre-agnostic AI culling inside Lightroom Classic<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>Lightroom Classic\u2019s Assisted Culling tool does have strengths. It\u2019s smoothly integrated into the Library module, and because it lives within the Lightroom environment, it feels immediately familiar and easy to use. In my testing, I never struggled with the interface\u2014though the analysis speed was on the slow side, especially for large batches.<\/p>\n\n\n\n<p>Where Lightroom fell short was in flexibility and, more importantly, accuracy. The tool simply doesn\u2019t feel ready. It doesn\u2019t offer enough meaningful culling criteria, and even within the limited set of options Adobe currently provides, the results were inconsistent. For portrait work, Lightroom\u2019s sensitivity to sharpness was far too low; even with sliders set to 100, the AI marked hundreds of images as \u201cbest\u201d despite obvious technical flaws. And while Lightroom did manage to identify extremely blurry frames, too many remaining images were given perfect or near-perfect scores to make the selections useful\u2014and there was no practical way to refine or reduce them further. Ultimately, AI culling only works if you <em>trust <\/em>the software to evaluate your photos effectively. But after using Lightroom&#8217;s Assisted Culling tool, I don&#8217;t trust the AI to make useful, reasonable decisions.<\/p>\n\n\n\n<p>Excire Search 2026, on the other hand, offered a far more powerful and comprehensive AI culling experience. Its people-focused tools were genuinely helpful in the portrait session, and for wildlife, the general sharpness and aesthetics criteria performed surprisingly well. (I\u2019ve also used Excire Search to cull landscape, architectural, and street photography batches and had similarly positive results.)<\/p>\n\n\n\n<p>With Excire, I was able to reduce huge collections of images\u2014sets that would normally take hours to review\u2014down to small, highly usable selections. In real-world workflows, that kind of reduction saves a <em>lot <\/em>of time.<\/p>\n\n\n\n<p>The flexibility is also a major advantage. Excire offers a wide range of grouping options that can be tailored to different genres and shooting styles, and the various culling criteria can be mixed, matched, and experimented with as needed. And in situations where I don\u2019t want the AI to choose the best images for me\u2014such as when I\u2019m working on more experimental fine-art projects\u2014the ability to simply group the images by visual similarity and review them manually is invaluable. Excire essentially gives structure without taking control away.<\/p>\n\n\n\n<p>So which culling tool works best for a Lightroom Classic workflow? For me, Excire Search 2026 is the clear winner. While it does require a paid license, there is no ongoing subscription to worry about. Plus, you can try it free for 14 days by downloading a trial from <a href=\"http:\/\/excire.com\/en\/\" target=\"_blank\" rel=\"noreferrer noopener\">the Excire website<\/a>.<\/p>\n\n\n\n<p>Bottom line: If you value accuracy, flexibility, time savings, and trust, Excire is the culling tool that will genuinely streamline your Lightroom Classic workflow.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>AI-powered culling software is not new. If you want to streamline your culling workflow with AI, you have a variety of standalone programs and platforms available: Imagen AI, Narrative Select, Excire Foto 2025, and Aftershoot, to name a few. But for dedicated Lightroom Classic users, none of these options are ideal; they exist outside of [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":62696,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[],"class_list":["post-62660","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-englisch"],"_links":{"self":[{"href":"https:\/\/excire.com\/en\/wp-json\/wp\/v2\/posts\/62660","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/excire.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/excire.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/excire.com\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/excire.com\/en\/wp-json\/wp\/v2\/comments?post=62660"}],"version-history":[{"count":8,"href":"https:\/\/excire.com\/en\/wp-json\/wp\/v2\/posts\/62660\/revisions"}],"predecessor-version":[{"id":63110,"href":"https:\/\/excire.com\/en\/wp-json\/wp\/v2\/posts\/62660\/revisions\/63110"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/excire.com\/en\/wp-json\/wp\/v2\/media\/62696"}],"wp:attachment":[{"href":"https:\/\/excire.com\/en\/wp-json\/wp\/v2\/media?parent=62660"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/excire.com\/en\/wp-json\/wp\/v2\/categories?post=62660"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/excire.com\/en\/wp-json\/wp\/v2\/tags?post=62660"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}