Settings & Upload

Browse for Image or drag it here

Supports JPG, PNG, WEBP (or Ctrl+V)
Target Image Preview

Generated Output

Upload an image to generate alt text
Raw Alt Text
HTML Snippet
Preparing engine...
Fetching the ViT-GPT2 captioning model. The first run downloads about 250 MB, and later runs load it from the cache.

About the AI Alt Text Generator Tool

What is an AI Alt Text Generator?

An AI alt text generator writes a short caption for an image with a machine learning model. This one runs the model on your own device, so the image is never uploaded, and gives you the caption as plain text and as an HTML img tag.

How to Use This Tool

  1. Step 1: Dump the file. Drag your JPG or PNG right into the drop zone. You can also paste directly from your clipboard.
  2. Step 2: Boot up the engine. Click generate. The browser fetches the AI model weights into your local cache.
  3. Step 3: Run the model. The model reads the image and writes a short caption.
  4. Step 4: Copy the tag. Grab the raw text or the formatted HTML snippet to paste straight into your codebase.

Common Use Cases

Here are some common use cases for the AI Alt Text Generator tool:

  • Web accessibility audits: Fixing missing alt tags. Run old images through the tool to get a first draft of each description, then edit it to fit the page.
  • SEO image optimization: Describing images in plain words. Google reads alt text to understand an image, and it advises against stuffing it with keywords.
  • E-commerce product ingestion: Tagging warehouse shots. You run raw catalog photos through the model to auto-generate baseline descriptions for your CMS.
  • Social media scheduling: Drafting Instagram captions. Social managers dump graphics into the UI to get a quick text baseline before pushing to Buffer.
  • GitHub documentation: Enhancing readme files. Open-source devs paste UI screenshots to get quick markdown captions that help visually impaired contributors.
  • CMS migrations: Backfilling WordPress media libraries. Agency devs run old client uploads through the local model to clean up thousands of empty metadata fields safely.

Frequently Asked Questions

Is my image uploaded anywhere?

No. The model runs on your own device with WebAssembly, in a background worker, so the image is never sent to a server. The only downloads are the model files from Hugging Face and the engine that runs them.

How big is the download?

About 250 MB the first time you click generate. After that the model loads from your browser's cache, unless you clear it.

Does it cost money to use?

No. The model runs on your device instead of a paid API, so you can caption as many images as you like.

Can it read text in my image?

Not exactly. This is a vision-to-text descriptor, not an OCR engine. It identifies objects and context, not raw typography.

Why did my laptop fan turn on?

Running the model takes a lot of processing power, and all of it happens on your CPU. The work stops as soon as the caption is ready.

What formats do you support?

JPG, PNG and WebP. You can pick a file, drop it on the upload area or paste an image with Ctrl+V.

Are the captions WCAG compliant?

Not on their own. WCAG asks for alt text that serves the same purpose as the image on your page, and the model only sees the image, not the page around it. Use the caption as a first draft and edit it to fit.