Image-Based Data Extraction API using Gemini AI

For the Gemini AI platform, this workflow automates image-based data extraction by converting images to base64, processing them through an AI model, and returning structured JSON data. It efficiently extracts key details like names, dates, and identification numbers from various documents, enabling seamless integration for automated data entry and processing. Ideal for OCR tasks, it simplifies the extraction of critical information from images, enhancing productivity and accuracy in data handling.

7/8/2025
9 nodes
Medium
webhookmediumrespondtowebhooksticky noteextractfromfileintegrationapifilesstorage
Categories:
Webhook TriggeredMedium Workflow
Integrations:
RespondToWebhookSticky NoteExtractFromFile

Target Audience

Target Audience


- Businesses: Companies needing to automate data extraction from documents like ID cards, invoices, or receipts.
- Developers: Tech professionals looking to integrate image data extraction capabilities into their applications.
- Data Analysts: Individuals requiring quick access to structured data from images for analysis.
- Small Enterprises: Organizations that want to streamline their data entry processes without heavy investments in software.
- Educational Institutions: Schools and universities needing to process student IDs or documents efficiently.

Problem Solved

Problem Solved


This workflow addresses the challenge of extracting structured data from images efficiently. It automates the process of converting images into text, thus eliminating the need for manual data entry. Users can quickly obtain relevant information from various documents, reducing errors and saving time. This is particularly beneficial for:
- Document Management: Streamlining the handling of paperwork.
- Data Entry: Minimizing human error in data input.
- OCR Needs: Providing a reliable solution for Optical Character Recognition (OCR) tasks.

Workflow Steps

Workflow Steps


1. Webhook Trigger: The workflow starts when a webhook is triggered, receiving an image URL and extraction requirements.
2. Image Retrieval: It fetches the image from the provided URL using an HTTP request.
3. Image Encoding: The image is converted to base64 format, preparing it for API consumption.
4. API Call: The workflow sends the encoded image to the Gemini API (Flash Lite) for content generation, including the specified extraction criteria.
5. Data Processing: The response from the API is processed to extract only the relevant fields as defined in the requirements.
6. Response: Finally, the extracted data is sent back as a response to the original webhook request.

Customization Guide

Customization Guide


- Modify Image Source: Change the image_url parameter in the webhook payload to point to different images.
- Adjust Extraction Requirements: Update the Requirement field to specify what data needs to be extracted from the images.
- Customize Output Fields: Alter the properties object in the webhook payload to define which fields you want in the output (e.g., PAN Number, Name, Date of Birth).
- Change API Settings: Tweak the generationConfig in the Gemini API call to adjust parameters like temperature, topK, and maxOutputTokens for different response styles or lengths.