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How AI Image Tags Works

Extract a ranked list of keyword tags from any image (subject, scene, mood, colours, style) using CLIP zero-shot classification.

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Step-by-step process

  1. 1

    Add your image

    Drop or select the image you want to process — it stays on your device.

  2. 2

    Run the model in-browser

    AI Image Tags loads its model (~150 MB) once, caches it, then runs locally in a worker. No upload.

  3. 3

    Download the text

    Preview the result and download the text. Re-run with different settings anytime.

100% private by design. All processing runs in your browser — your files never leave your device. No account required.

Frequently asked questions

How many tags?

A ranked list of the most relevant keywords for the image; you can keep the top N.

Is it free to use?

Yes — AI Image Tags is completely free. No account, no watermark, no credits, and no usage limits.

Do my files or prompts ever leave my device?

No. Everything runs locally in your browser via WebAssembly/WebGPU — there is no server that receives your files, prompts, or results.

Which browser and hardware do I need?

A modern browser. Chrome and Edge get WebGPU acceleration for the fastest results; Firefox and Safari run via WebAssembly. The model (~150 MB) downloads once, then is cached for offline use.

Can I use the results commercially?

Yes. You own everything you create — NSS makes no claim to the images, videos, or text you process or export.

Does it work on mobile?

Lightweight tools run on phones; heavier models prefer a desktop with a GPU. The tool picks the best path for your device and falls back gracefully where needed.

Where can I see a step-by-step guide?

Yes — there is a full walkthrough at /how-it-works/ai-tags.

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