Automate Pay Slip Data Extraction via LINE Chatbot with AI
Automate pay slip data extraction and chatbot responses, reducing manual data entry time by up to 90% and ensuring instant, accurate information delivery to LINE users.
Manually extracting critical data from pay slips or responding to routine chat queries is time-consuming and prone to errors. This workflow leverages Gemini AI via a LINE chatbot to automatically extract structured data from pay slip images and provide instant text responses, saving significant time and improving accuracy.
Documentation
Intelligent LINE Chatbot for Pay Slip Data Extraction
Streamline your administrative tasks by deploying an AI-powered LINE chatbot that can understand and process both text and image messages, specifically designed for extracting vital information from pay slips and delivering instant, accurate responses.
Key Features
- AI-Powered Data Extraction: Automatically analyze pay slip images using Google Gemini 2.0 Flash Experiment to extract key fields like Status, From, To, Date, and Amount.
- Intelligent Chatbot Responses: Engage users with a conversational AI agent that provides context-aware replies to text-based inquiries.
- LINE Integration: Seamlessly receive messages and send automated responses directly within the LINE messaging platform.
- Automated Data Storage: Instantly log extracted pay slip data into Google Sheets for organized record-keeping and further analysis.
- Message Type Classification: Dynamically process different message types (text, image) to provide appropriate AI interaction.
How It Works
This workflow begins by listening for incoming messages on LINE. It classifies each message as either text or an image. For text messages, a Gemini AI agent provides a conversational response. For image messages, the workflow fetches the image (assumed to be a pay slip), uses Gemini's vision capabilities to extract structured data, sends a confirmation response back to the user, and finally records the extracted data into a Google Sheet. Session memory is maintained for conversational continuity.