{"id":8026,"date":"2026-04-08T13:48:26","date_gmt":"2026-04-08T11:48:26","guid":{"rendered":"https:\/\/www.rawk.at\/?p=6612"},"modified":"2026-05-31T08:21:30","modified_gmt":"2026-05-31T08:21:30","slug":"captioner-image-captioning-for-ai-training","status":"publish","type":"post","link":"https:\/\/new.rawk.at\/?p=8026","title":{"rendered":"Captioner – Image Captioning for AI Training"},"content":{"rendered":"\t\t
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Type:<\/strong> Software
Status:<\/strong> Beta<\/p>

Tech Stack: <\/strong>Python, FastAPI, Uvicorn, Transformers (Florence-2, JoyCaption), PyTorch, React, Vite, TypeScript<\/p>

Problem Statement<\/strong><\/p>

Training AI image models (LoRA, DreamBooth, fine-tuning) requires image datasets with high-quality text descriptions. Manual captioning is extremely time-consuming, and automatic tools rarely offer a visual gallery view, multi-model support, or the ability to switch between caption formats (full text, tags, short description). Batch processing with subsequent manual correction in an integrated workflow is missing.<\/p>

Description<\/strong><\/p>

A lean tool for creating image descriptions for AI training datasets. Images are displayed in a React gallery, captions saved as same-name .txt files. Supports auto-captioning via Florence-2 and JoyCaption (NSFW-capable) with selectable format (full text, short text, tags). Batch save all captions with one click.<\/p>

Use Case<\/strong><\/p>

Tag images with descriptions so AI models can learn from them.<\/em><\/p>

Link: <\/strong>https:\/\/github.com\/rawk7000\/captioner<\/a> (private repo)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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Type: Software Status: Beta Tech Stack: Python, FastAPI, Uvicorn, Transformers (Florence-2, JoyCaption), PyTorch, React, Vite, TypeScript Problem Statement Training AI image models (LoRA, DreamBooth, fine-tuning) requires image datasets with high-quality text descriptions. Manual captioning is extremely time-consuming, and automatic tools rarely offer a visual gallery view, multi-model support, or the ability to switch between caption […]<\/p>\n","protected":false},"author":1,"featured_media":8621,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[],"class_list":["post-8026","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-projects"],"_links":{"self":[{"href":"https:\/\/new.rawk.at\/index.php?rest_route=\/wp\/v2\/posts\/8026","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/new.rawk.at\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/new.rawk.at\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/new.rawk.at\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/new.rawk.at\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=8026"}],"version-history":[{"count":4,"href":"https:\/\/new.rawk.at\/index.php?rest_route=\/wp\/v2\/posts\/8026\/revisions"}],"predecessor-version":[{"id":8690,"href":"https:\/\/new.rawk.at\/index.php?rest_route=\/wp\/v2\/posts\/8026\/revisions\/8690"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/new.rawk.at\/index.php?rest_route=\/wp\/v2\/media\/8621"}],"wp:attachment":[{"href":"https:\/\/new.rawk.at\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=8026"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/new.rawk.at\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=8026"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/new.rawk.at\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=8026"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}