Handwritten notes into a searchable archive: recognition, tags, tag search

You send a photo of a note — the scenario reads the text, summarises it, tags it and saves everything to a table, with the original in storage. Later you search by tag right in the chat.

  • A paper scrap becomes a note you can actually find
  • Tags are chosen by meaning — no manual labelling
  • The original photos are kept in express
  • Tag search and a full tag list, right in the chat
WebhookGoogle Sheets

How it works

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

  1. Starts when: LINE_Receive_Webhook
  2. Then: Config_Set_Environment
  3. Check: Check_Image_Message
  4. If yes: LINE_Reply_Processing
  5. Then: LINE_Download_ImageContent
  6. Then: Drive_Upload_Image
  7. Then: Restore_Image_Binary
  8. Then: AI_OCR_Analyze_Image
  9. Then: Data_Parse_OCR_JSON
  10. Check: AI_Check_OCR_Failure
  11. If yes: LINE_Push_NoSummary
  12. If no: Sheets_Append_Row
  13. Then: LINE_Push_Completion_Message
  14. If no: Check_Tag_List_Command
  15. If yes: Sheets_Get_All_Memos_For_TagList
  16. Then: Build_TagList
  17. Then: LINE_Push_TagList
  18. If no: Check_Tag_Command
  19. If yes: Extract_Tag
  20. Then: Sheets_Get_All_Memos
  21. Then: Filter_By_Tag
  22. Then: Build_Search_Result
  23. Then: LINE_Push_TagResults
  24. If no: LINE_Reply_NoImage
  25. Then: AI_Model_Gemini

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