Is my photo uploaded anywhere?

No. The classifier downloads once to your browser and runs entirely on your device. Your photo never leaves your computer or phone.

What objects can it recognize?

1,000 everyday ImageNet classes — common animals, vehicles, foods, household items and scenes. Rare, niche or very small objects get the nearest generic label instead.

How accurate are the tags?

Good on clear photos of common objects; weaker on unusual subjects, cluttered scenes and tiny details. Treat the scores as the model’s confidence, not ground truth.

Why is the first run slow?

The browser downloads ~70 MB of model weights the first time. After that the model is cached and later runs start much faster, even offline.

What is an image object tagger?

An image object tagger is a free online tool that gives you quick, accurate results without spreadsheets or manual math. This version runs entirely in your browser for instant, private results.

Is this image object tagger: tool really free?

Yes, completely free with no account required. Use it as many times as you want — there are no usage limits or hidden paywalls.

How do I use this image object tagger: tool?

Enter your details in the fields above and get instant results. Everything runs in your browser — no signup, no waiting, no data uploaded.

Image Object Tagger: Free Online

Tag objects in images free with AI — get the top 8 predicted object labels with confidence scores instantly. Tag yours now!

⚡ Instant·🔒 Private·♾️ Unlimited·No signup

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Runs 100% in your browser — Tag the objects in any photo with an on-device image classifier — no uploads, no API key.

Xenova/vit-base-patch16-224image-classification · ~70 MB download · Apache-2.0 (Google) · ImageNet-1k labels (1,000 everyday object classes)Downloads once, then works offline.

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What is Image object tagger?

Image Object Tagger — Tag objects in images free with AI — get the top 8 predicted object labels with confidence scores instantly. Tag yours now!

Runs the Xenova/vit-base-patch16-224 image-classification model (Apache-2.0, ~70 MB) directly in your browser via Transformers.js: a Vision Transformer trained on ImageNet-1k assigns your photo probabilities across 1,000 everyday object classes, and the top 8 are shown with their scores. Nothing is uploaded; the page is explicit that labels are the nearest generic class and the top label can be wrong.

Why use this image object tagger?

🎯

Built for image object tagger

Tag objects in images free with AI — get the top 8 predicted object labels with confidence scores instantly. Tag yours now!

📋

Transparent & honest

Labels come from 1,000 everyday ImageNet classes — unusual objects get the nearest generic label.

🔒

Private by design

Everything runs in your browser. Your inputs never leave your device.

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Works everywhere

Fully responsive — perfect on desktop, tablet, and mobile. No app needed.

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Regularly updated

Regularly maintained and reviewed to ensure accuracy.

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Free forever

No accounts, no limits, no watermarks. Use Image Object Tagger as much as you need.

How to use Image Object Tagger

1Upload a photo (PNG, JPG — under 25 MB).
2Wait for the on-device model to download (~70 MB, once) and analyze it.
3Review the top-8 predicted labels with confidence bars.
4Use the tags for organizing photos or drafting alt text.
5Remember: scores are model confidence, not certainty.

What can you do with Image Object Tagger?

Auto tag images — Tag objects in images free with AI — get the top 8 predicted object labels with confidence scores instantly.
Image keywording tool — Tag objects in images free with AI — get the top 8 predicted object labels with confidence scores instantly.
Photo tagging ai — Tag objects in images free with AI — get the top 8 predicted object labels with confidence scores instantly.

Good to know

Labels come from 1,000 everyday ImageNet classes — unusual objects get the nearest generic label.
Scores are model confidence, not certainty — the top label can be wrong.
Single dominant-subject photos work best; crowded scenes dilute the ranking.

How it works

Examples

Pet photo

Returns labels like "tabby" / "tiger cat" with confidence scores.

Street scene

Returns the most prominent recognized objects — cars, buildings, signs — as ranked tags.

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