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Image Classifier

Identify objects in your photos instantly using on-device AI.

🔬

Click to upload an image to classify

How to use Image Classifier

Three steps. Instant results.

1
Step 1
Upload or drag and drop any image into the tool.
2
Step 2
Click 'Classify Image' to run the AI model.
3
Step 3
View the top 5 object predictions and their confidence scores.

How Image Classifier works

This tool uses TensorFlow.js and the MobileNet convolutional neural network architecture. When you upload an image, it is resized to a 224x224 tensor and passed through the neural network. The model, trained on the ImageNet database of millions of images, extracts features and maps them to 1,000 distinct categories. Everything executes directly inside your browser using WebGL acceleration, meaning no image data is ever transmitted to external servers.

Why use this Image Classifier?

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100% private — your images are never uploaded anywhere.
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Lightning fast on-device AI inference.
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Identifies over 1,000 different everyday objects.
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Provides percentage-based confidence scores for accuracy.
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Completely free to use with no hidden limits.

Frequently asked questions

Is this image classifier free to use?
Yes. It is free with no signup or limits.
Does my image get uploaded to a server?
No. All AI processing happens in your browser. Images never leave your device.
What kinds of objects can it identify?
The model is trained on ImageNet and can identify over 1,000 common objects, animals, vehicles, and items.
Why does it show multiple predictions?
Image classification is probabilistic. We show the top 5 predictions with confidence scores.
Does it work offline?
The model loads in your browser on first run. You need internet the first time, then it may be cached for later use.
What image formats work best?
Common formats like JPG, PNG, and WebP work well. Clear, well-lit images improve accuracy.

Related free tools

EXIF Viewer
Read hidden metadata from images.
Image to Text
Extract text from images using AI.
Palette Extractor
Get color palettes from photos.