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Image Captioner

Generate descriptive captions for photos using AI.

Your files stay on your device - processed locally via WebAssembly, never uploaded

AI image captioning running entirely in your browser. BLIP model (~250 MB) downloads once and works offline. Paste images with Ctrl+V.

Caption Style

Output Format

Tone

Model

ViT-GPT2 · ~100 MB · Will download on first use

Drop your files here

JPEG, PNG, WebP, HEIC - drop multiple for batch, or paste (Ctrl+V)

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Copy this code to add the Image Captioner to your site for free. It runs entirely in your visitors' browsers - no API key, no usage limits.

<iframe src="https://optipix.art/embed/image-captioner" width="100%" height="600" style="border:1px solid #e4e4e7;border-radius:8px;" title="Image Captioner by OptiPix" loading="lazy"></iframe>
<p style="font-size:12px">Free tool by <a href="https://optipix.art/image-captioner">OptiPix Image Captioner</a></p>

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About Image Captioner

Last updated: May 2026

OptiPix Image Captioner uses a ViT-GPT2 vision-language model to automatically generate descriptive text captions for your photographs. The model combines a Vision Transformer encoder (which understands image content) with a GPT-2 language decoder (which generates natural language) to produce human-readable descriptions of what appears in your images. This is invaluable for creating alt text for web accessibility, generating photo descriptions for social media posts, cataloging image libraries with text descriptions, and assisting visually impaired users in understanding image content. The model runs entirely in your browser using Hugging Face Transformers.js - your photos never leave your device. Captions are generated in English and can be edited before copying or downloading. The model downloads once (approximately 100 MB) and works offline afterward. Processing typically takes 2-5 seconds depending on your device.

How It Works

The tool uses a ViT-GPT2 model from Hugging Face Transformers.js. The Vision Transformer encoder processes the image into a feature representation, which is then decoded by the GPT-2 language model to generate a natural language caption describing the image content.

Use Cases

  • •Generate alt text for website images to improve accessibility
  • •Create photo descriptions for social media posts
  • •Catalog image libraries with text descriptions
  • •Assist visually impaired users in understanding photos
  • •Auto-describe images for documentation purposes

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If you find Image Captioner useful, check out these related tools: OCR Text Extractor, Depth Estimation, and Object Detection. All tools run entirely in your browser with no uploads or signups required.

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Frequently Asked Questions

How good are the generated captions?
The ViT-GPT2 model produces captions that accurately describe the main subjects and actions in most photographs. Complex scenes may produce simplified descriptions.
Can I edit the generated caption?
Yes. The caption appears in an editable text area where you can refine the wording before copying or downloading.
Is this useful for web accessibility?
Yes. The generated captions can serve as starting points for alt text on web images, helping make websites accessible to screen reader users.
What language are captions in?
Captions are generated in English. The model was trained on English image-caption pairs.
How large is the model download?
The ViT-GPT2 model is approximately 100 MB. It downloads once on first use and is cached for offline use.

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