What’s on the plate?

Try a simple fruit, then a mixed bowl. Identifying the food and knowing what went into it are two different jobs.

Shazam for Food / Recognition labPrepared matches · Illustrative nutrition

Sample photos only

Generated red apple on a pale pink surface

Generated sample / Apple

1Photo
2Match
3Context

Try the recognition flow

A photo is a starting point.

Run the prepared example to see a match and the questions that come after it.

Scripted results. We don’t send the image to a model.

Opening the demo…

Generated sample photos and scripted recognition. Nutrition numbers are illustrative fixtures, not measured food values or dietary advice. No real photo processing. This is a new public demo inspired by the portfolio, not the original client system.

Give it a spin.

Choose a sample photo
Review the prepared match
Adjust a portion or clarify the result

See the project behind this demo →

Make it yours

Build your computer vision product.

Rubix can help turn image recognition into a useful product, with review and uncertainty built into the experience.

Let’s build it with Rubix