Line_Chatbot_Extract_Text_from_Pay_Slip_with_Gemini

For Line, this workflow automates the extraction of key information from pay slip images and text messages, efficiently processing data such as status, sender, recipient, date, and amount. It integrates with Google Sheets for seamless data storage, enhancing user experience by providing quick responses and organized record-keeping.

7/8/2025
17 nodes
Complex
webhookcomplexlangchainsticky notegooglesheetsadvancedapiintegrationlogicrouting
Categories:
Complex WorkflowData Processing & AnalysisWebhook Triggered
Integrations:
LangChainSticky NoteGoogleSheets

Target Audience

This workflow is designed for:
- Business Professionals: Who need to automate the processing of pay slips and financial documents.
- HR Departments: Looking for efficient ways to handle employee payment information.
- Developers: Interested in integrating AI solutions into their applications for document analysis.
- Small Business Owners: Who want to streamline their payroll processes without extensive manual work.

Problem Solved

This workflow addresses the challenge of extracting critical information from pay slips and financial documents, which can often be time-consuming and prone to errors if done manually. By automating the process, it ensures accuracy and saves valuable time, allowing users to focus on more strategic tasks.

Workflow Steps

  • Webhook Trigger: The workflow starts when a user sends a message (text or image) through the Line messaging platform.
    2. Message Type Identification: The workflow classifies the incoming message as either text or image.
    3. Image Retrieval: If the message is an image, the workflow retrieves the image content from the Line API.
    4. Image Analysis: The image is processed using AI to extract key information such as Status, From, To, Date, and Amount.
    5. Text Processing: If the message is text, it is processed to generate a relevant response using the AI assistant.
    6. Response Generation: Based on the analysis, the workflow generates a structured response for the user.
    7. Google Sheets Integration: The extracted information is appended to a Google Sheet for record-keeping and further analysis.
    8. User Notification: Finally, the user receives a response with the relevant information or confirmation of data entry.

    • Customization Guide

    To customize this workflow:
    - Modify the AI Model: Users can change the AI model used for text and image processing based on their specific needs or preferences.
    - Adjust Google Sheets Configuration: Update the Google Sheets document ID and sheet name to ensure data is stored in the correct location.
    - Change Response Messages: Customize the messages sent back to users to better fit the organization's communication style.
    - Add Additional Processing Steps: Include more nodes to handle different types of messages or integrate with other APIs as needed.