AI Photo Tagger
Tag a photo in seconds. Drop in an image and an AI model both describes it and detects the objects in it, then this tool turns that into a caption plus a clean, deduped set of keyword tags. Copy the tags as a comma-separated list (the format stock sites and DAM tools expect) or as hashtags for social posts. Add your own tags or delete any you do not want. It is built for stock photo listings, image SEO, and organizing an asset library, and it runs entirely in your browser with Florence-2, so nothing is uploaded. The model downloads once on first use, then is cached for instant reuse.
How to tag a photo with keywords
- Drop a photo in, or click to browse.
- Wait a few seconds while the AI captions it and detects objects.
- Edit the tags: delete any you do not want, or type to add your own.
- Copy the tags as a comma list or as hashtags.
Examples
Photo to caption and tags
A photo of two cats on a pink blanket next to remotes
Caption + tags: cats, pink, blanket, remotes
Frequently asked questions
Is my photo uploaded anywhere?
No. The AI model runs entirely in your browser with WebAssembly. Your photo is processed on your device and never uploaded. Only the model itself is downloaded, once, then it is cached for instant reuse.
What are these tags good for?
Keyword tags help people and software find an image. Use them as stock photo keywords on sites like Adobe Stock or Shutterstock, as image SEO terms so search engines understand your photo, and as metadata to organize a digital asset library (DAM). Copy them as a comma list or as hashtags.
Which AI model does this use?
Florence-2 Base, a compact, MIT-licensed vision model from Microsoft. It generates an image caption and detects the objects in the photo, and this tool combines both into one clean set of keyword tags.
Why does the first run take a moment?
The Florence-2 model (around 275 MB) downloads the first time you use the tool, then is cached by your browser for instant reuse. Larger photos also take a little longer to process.
Can I edit or add my own tags?
Yes. Every tag is shown as a chip you can delete, and there is an input to add custom tags. Editing tags is instant and never re-runs the model, so you can fine-tune the list freely before copying it.
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