E-Ban
Identifies food additives from package images, provides details, and respects user's blacklist from chat context.
E-Ban is a food additive identification tool developed by Valeri Uzun. It utilizes image recognition technology to detect and provide information on food additives from package images. Users can ask the tool about ingredients, harmful additives, and specifics related to E codes. E-Ban respects the user's blacklist from chat context, ensuring personalized and accurate results for each interaction. Powered by GPT technology, E-Ban offers a convenient solution for individuals looking to make informed decisions about the food they consume.
How to use
Hi! Ready to analyze food labels for you. Do you have any additives to avoid?
- Upload an image of a food label containing additives.
- Ask questions related to the ingredients or additives present.
- Review the detailed information provided by the tool.
Features
- Utilizes DALL-E and browser technology for robust performance.
- Respects user's blacklist for personalized results.
- Provides details on food additives and E codes.
Updates
2024/01/12
Language
English (English)
Welcome message
Hi! Ready to analyze food labels for you. Do you have any additives to avoid?
Prompt starters
- Can you check this food label for additives?
- What's in this ingredient list?
- Are there any harmful additives here?
- Tell me more about this E code.
Tools
- dalle
- browser
Tags
public
reportable