Describe Image (Detailed)
Generate a richer, more accurate description of any image using BLIP-base. ~250 MB model downloads on first use, then works offline. Slower but more descriptive than the standard captioner.
About Describe Image (Detailed)
Describe Image (Detailed) produces a richer, more accurate description of an image using the BLIP-base vision model. A roughly 250 MB model downloads on first use and then runs offline in your browser, with no uploads. It's slower than the standard captioner but worth it when you need more descriptive, nuanced output.
- Category
- export
- Input
- Accepts: image/jpeg, image/png, image/webp or image/bmp.
- Output
- Outputs: text/plain.
- Cost
- Free, runs in your browser
- Memory
- medium
- Install group
- vision-llm
Common uses
- Write thorough alt-text for hero images and complex graphics where a short caption falls short
- Describe a detailed scene or composition for accessibility documentation
- Generate fuller captions for a photo library so descriptions carry real detail
- Produce nuanced descriptions of artwork or illustrations for a catalog
- Get a more accurate read on cluttered or multi-subject images than a basic captioner gives
- Create descriptive metadata for images locally, without sending them to any server
Frequently asked questions
How is this different from the standard Describe Image?
It uses BLIP-base, a larger model that produces richer and more accurate descriptions. The trade-off is a bigger download (~250 MB) and slower runs.
Does it upload my image?
No. Once the model is downloaded and cached, captioning runs fully in your browser and works offline. The image stays on your device.
Which image formats are supported?
JPEG, PNG, WebP, and BMP.
Why is the first run slow?
The ~250 MB BLIP-base model downloads once on first use. After it's cached, it loads locally and no longer needs a network connection.
Does it cost anything?
No. It's free and runs on your own hardware, so there are no credits involved.
Keywords
- caption
- describe
- image
- alt-text
- accessibility
- vlm
- vision
- blip
- detailed