Automation library · Money admin

Extract & categorize receipt data with OpenRouter AI

Started by an incoming Telegram message, and works across Telegram. It hands the judgement calls to OpenRouter. 13 steps, 2 branches: a working afternoon to understand properly.

MediumCalls a model: OpenRouter

13 stepsMedium: a working afternoon
2Branches: places the flow splits
0Loops or waits
1Service it connects to

The flow

Starts it 1Model 3Logic 4Service 5

The steps in the order they run, from what starts it.

  1. 1Telegram TriggerTelegram triggerStarts it
  2. 2Receipt ParserOutput Parser StructuredModel
  3. 3AI AnalyzerLm Chat Open RouterModel
  4. 4Check for ImageIfLogic
  5. 5AI CategorizerChain LlmModel
  6. 6Get Telegram FileHttp RequestService
  7. 7Extract Text InputSetLogic
  8. 8Format Summary MessageCodeLogic
  9. 9Download ImageHttp RequestService
  10. 10Check Invalid InputIfLogic
  11. 11Extract Value From ImageTesseract NodeService
  12. 12Send Error MessageTelegramService
  13. 13Send Expense SummaryTelegramService

How it's built

Starts on
An incoming Telegram message
Steps
13, with 2 branches
Size
Medium: a working afternoon
Connects to
Telegram
Model
OpenRouter

Questions

What does it need to run?

An n8n account, plus your own Telegram account, and a key for OpenRouter. You connect your own accounts after importing it; none are included.

What starts it?

It starts on an incoming Telegram message.

Does it use AI?

Yes. It calls OpenRouter. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Plan an afternoon. 13 steps is enough that you should read each one before running it.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

Before you run it

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 13 steps before you point it at anything that matters.