A product's ingredient breakdown from a label photo — in your messenger

Send a photo of the ingredients into your messenger — AI reads the label and gives an ingredient breakdown or a 'take it or not' verdict based on your caption.

  • Ingredients are read straight from the label photo
  • With a caption — a 'take it or not' verdict
  • Without a caption — a detailed ingredient breakdown
  • The answer comes to your messenger

How it works

To connect Slack and , you don't need a developer: a ready-made scenario links them in minutes.

  1. Starts when: Get a Message photo/text
  2. Check: Checks if message contains photo
  3. If yes: Retrieves photo file from Telegram
  4. Then: Analyzes product images using Google Gemini
  5. Check: Routes based on caption presence
  6. If yes: Analyzes ingredients with user caption (Use/Do Not Use decision)
  7. Then: Sends Use/Do Not Use recommendation
  8. If no: Analyzes ingredients without caption (detailed analysis)
  9. Then: Sends detailed ingredient analysis
  10. If no: Handles text messages and greetings
  11. Then: Sends conversational responses
  12. Then: Google Gemini Chat Model
  13. Then: Structured Output Parser
  14. Then: Google Gemini Chat Model1
  15. Then: Structured Output Parser1
  16. Then: Google Gemini Chat Model2

You can launch this integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.