# Extract pay slip data with Line Chatbot and Gemini: n8n workflow

> Started by another system calling it, and works across Google Sheets. It puts Gemini behind a retrieval step, so answers are drawn from documents you supply...

Source: https://millionrounds.com/workflow/extract-pay-slip-data-with-line-chatbot-and-gemini (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [Data collection](https://millionrounds.com/workflows?category=Data+collection#library)

# Extract pay slip data with Line Chatbot and Gemini

Started by another system calling it, and works across Google Sheets. It puts Gemini behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 12 steps, 1 branch: a working afternoon to understand properly.

Medium Calls a model: Gemini Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fextract-pay-slip-data-with-line-chatbot-and-gemini)

**12 steps** Medium: a working afternoon

**1** Branch: places the flow splits

**0** Loops or waits

**1** Service it connects to

## The flow

Starts it 1 Model 5 Logic 2 Service 4

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

- 1 **Window Buffer Memory** Memory Buffer Window *Model*
- 2 **Line: Messaging API** Webhook *Starts it*
- 3 **Google Gemini for Text** Lm Chat Google Gemini *Model*
- 4 **Google Gemini for Image** Lm Chat Google Gemini *Model*
- 5 **Text Message Processing** Agent *Model*
- 6 **Message Type** Set *Logic*
- 7 **Image Message Processing** Chain Llm *Model*
- 8 **Line: Text Response to User** Http Request *Service*
- 9 **Message Classification** Switch *Logic*
- 10 **Line: Response to User** Http Request *Service*
- 11 **Line: Get Image** Http Request *Service*
- 12 **Text from Slip Result** Google Sheets *Service*

## How it's built

- **Starts on:** Another system calling it
- **Steps:** 12, with 1 branch
- **Size:** Medium: a working afternoon
- **Connects to:** Google Sheets
- **Model:** Gemini
- **Retrieval:** Answers are drawn from documents you supply, not from the model alone

## Questions

What does it need to run?

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

What starts it?

It starts on another system calling it.

Does it use AI?

Yes. It calls Gemini. Its answers draw on documents you give it, not on the model alone. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Plan an afternoon. 12 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 12 steps before you point it at anything that matters.

## Run it in n8n

- **Create your n8n account** Free to start. n8n is where the workflow runs. [Create an n8n account ↗](https://millionrounds.com/n8n)
- **Download the workflow** Free with a Millionrounds account. [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fextract-pay-slip-data-with-line-chatbot-and-gemini)
- **Paste it into n8n** Open a new workflow in n8n and paste. Then connect your own accounts.

Stored with the author's traces removed: canvas notes, instance identifiers, saved credential names and any live document they had left behind.

## Connects to

Each opens the other workflows that use it.

[Google Sheets](https://millionrounds.com/workflows?service=Google+Sheets#library)

## Workflows like it

Also data collection, with the same services where possible, closest in size first.

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