Image-Based Data Extraction API using Gemini AI
This workflow utilizes a Webhook interface to intelligently extract information from images. Users only need to provide the image URL, which will be automatically downloaded and converted to Base64 format, allowing for efficient text recognition using Google Gemini AI. The extracted content can be flexibly configured and is ultimately output in a structured JSON format, facilitating subsequent system integration. This solution simplifies the traditional image text extraction process, enhancing accuracy and automation, and is suitable for data processing of various types of documents, financial receipts, and forms.
Workflow Name
Image-Based Data Extraction API using Gemini AI
Key Features and Highlights
This workflow sets up a webhook-based API endpoint via n8n to enable intelligent extraction of information from images. Its core highlights include:
- Supports automatic downloading of images from provided URLs and conversion to Base64 format.
- Utilizes Google’s Gemini AI (Flash Lite model) for efficient and intelligent optical character recognition (OCR) and content extraction from images.
- Flexible and configurable extraction fields, allowing users to customize specific data items to parse.
- Outputs structured JSON data for easy integration with downstream systems and automated processing.
- Simple and user-friendly API interface, delivering results through GET requests.
Core Problems Addressed
Traditional image text extraction often requires complex OCR tool configurations and extensive post-processing for data cleaning, resulting in low efficiency and high error rates. This workflow leverages AI models to directly extract structured data from images, significantly simplifying the image content recognition process while improving accuracy and automation.
Application Scenarios
- Automated data entry for identity cards, driver’s licenses, passports, and other official documents.
- Data extraction and archiving for invoices, receipts, and financial documents.
- Automatic collection of business card information for customer management.
- Automated data processing for various forms and documents.
- Any scenario requiring text extraction from images and conversion into structured data.
Main Workflow Steps
- Webhook Request Reception: Listens on the /data-extractor endpoint to receive requests containing image URLs and extraction requirements.
- Image Download: Downloads the image file based on the provided URL.
- Format Conversion: Converts the image binary data into Base64 encoding for AI model processing.
- Calling Gemini AI API: Sends a request containing the Base64 image data and extraction instructions to the Google Gemini API to obtain recognition results.
- Data Processing: Parses the AI response, extracts user-specified fields, and generates a JSON structure that meets the requirements.
- Webhook Response: Returns the final structured data back to the caller.
Involved Systems and Services
- n8n: Orchestrates workflow automation and node scheduling.
- HTTP Webhook: Serves as the API entry point to receive external requests.
- Google Gemini API (Flash Lite model): Provides AI-driven image text recognition services.
- HTTP Request Nodes: Facilitate image downloading and API calls.
Target Users and Value
- Enterprises and developers requiring automated processing of image-based text data.
- Document management personnel in finance, insurance, administration, and related industries.
- Technical teams aiming to rapidly build image information extraction APIs.
- Business units seeking to improve data entry efficiency and reduce manual errors.
By combining powerful AI recognition technology with the flexible n8n automation platform, this workflow delivers an efficient and customizable solution for image data extraction, significantly enhancing the intelligence and automation level of data processing.