jhc13/taggui

Health v2 · maintenance only

Adoption not part of the score

1346 stars · 82 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

TagGUI is a cross-platform desktop application for quickly adding and editing image tags and captions, aimed at creators of image datasets for generative AI models. It offers keyboard-friendly tagging, batch tag operations, and automatic caption generation using models like LLaVA, CogVLM, and Florence-2.

Use cases

• tag images for stable diffusion training datasets
• auto-generate captions for image datasets
• batch rename and delete tags across images
• edit image caption text files quickly with keyboard shortcuts
• prepare LoRA training datasets with tags
• count stable diffusion tokens while tagging

When to choose

• you are building image datasets for generative AI models like Stable Diffusion
• you need fast, keyboard-driven tagging with autocomplete
• you want local automatic captioning with vision-language models
• you need batch tag operations and image filtering

When to avoid

• you need a macOS-native release (only manual installation is supported)
• you want cloud-based or API captioning services
• you need video or audio annotation
• you require collaborative multi-user tagging

Facets

application · maturity active

image-processing machine-learning gui nlp image-processing machine-learning artificial-intelligence desktop-applications windows python cross-platform image-captioning image-tagging stable-diffusion dataset-preparation pyside6 llava cogvlm florence-2 tag-editor linux desktop

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