AI Smart Tagger

Private by default — text is classified on-device and never uploaded. First run downloads a small model, then it works offline.
Ranked labels and confidence will appear here.

About AI Smart Tagger

AI Smart Tagger classifies text into labels you define — no training data required. Define categories like "bug report, billing, feature request", paste any message, and get a ranked, scored match for each label using a local zero-shot classification model. It is ideal for triaging support tickets, routing feedback, moderating content, and organizing notes, all privately in the browser.

How To Use

  1. Type your own labels, separated by commas.
  2. Paste the text you want to classify.
  3. Run the classifier and review the ranked, scored labels.

Example

Input: A support message plus labels like "bug report, billing, feature request, praise".

Output: Each label ranked by confidence, with the best match highlighted.

Who Uses AI Smart Tagger

  • Developers and creators who want AI features without sending their media to a third-party API.
  • Anyone testing AI features locally before deciding whether to run them at scale.
  • People on slow or metered connections who prefer a one-time model download over repeated cloud calls.

Frequently Asked Questions

Do I need training data?

No. Zero-shot classification scores your text against any labels you type, so you can start instantly without examples or training.

Can a text match more than one label?

Yes. Enable multi-label scoring to rate each label independently, or disable it to pick a single best match.

Is my text uploaded?

No. Classification runs locally in your browser after the model downloads. Your text stays on your device.

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