Image-based data extraction API using Gemini AI

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

This n8n workflow provides a ready to use API endpoint for extracting structured data from images. It processes an image URL using an AI powered OCR model and returns the extracted details in a str...

Best for

Document Extraction automation workflows
Multimodal AI automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.webhook, n8n-nodes-base.respondtowebhook, n8n-nodes-base.httprequest, n8n-nodes-base.set, n8n-nodes-base.stickynote, n8n-nodes-base.extractfromfile

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Srinivasan KB.

Original n8n.io source

1.1 Workflow description

Title: Image-based data extraction API using Gemini AI
Workflow name: Image-based data extraction API using Gemini AI

This n8n workflow provides a ready-to-use API endpoint for extracting structured data from images. It processes an image URL using an AI-powered OCR model and returns the extracted details in a structured JSON format.

Use Cases

Document OCR – Extract details from ID cards, invoices, receipts, etc.
Text Extraction from Images – Process screenshots, scanned documents, and photos.
Automated Form Processing – Digitize and capture information from paper forms.
Business Card Data Extraction – Extract names, emails, and phone numbers from business cards.

How It Works

Send a GET request with an image URL and define the required extraction parameters.
The image is converted to base64 for processing.
The AI model (Gemini API - Flash Lite) extracts relevant text.
The response returns structured JSON data containing only the requested fields.

Features

✔️ No-Code API Setup – Easily integrate into any application.
✔️ Customizable Extraction – Modify the request parameters to fit your needs.
✔️ AI-Powered OCR – Uses advanced models for accurate text recognition.
✔️ Automated Processing – Ideal for document processing and digitization.

Integration

Works with any frontend/backend system that supports API calls.
Can be used for workflow automation in CRM, ERP, and document management solutions.
Supports further customization based on specific OCR requirements.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Webhook

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2

Block 2 - Respond to Webhook

Type / Role: n8n-nodes-base.respondToWebhook - respondToWebhook
Config choices: Version 1.1

Block 3 - Get image from URL

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 4 - Call Gemini API (Flash Lite) with Image

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 5 - Edit fields to output required data alone

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 6 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 7 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 8 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 9 - Transform image to base64

Type / Role: n8n-nodes-base.extractFromFile - extractFromFile
Config choices: Version 1

3. Summary Table

Workflow	Image-based data extraction API using Gemini AI
Complexity	intermediate
Nodes	9
Categories	Document Extraction, Multimodal AI
Author	Srinivasan KB
Published	13 Mar 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/3149/3149.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Document Extraction workflows Multimodal AI workflows

Frequently asked questions

What does Image-based data extraction API using Gemini AI do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, Multimodal AI use case.

Srinivasan KB

3 workflows

Nodes

n8n-nodes-base.webhook n8n-nodes-base.respondtowebhook n8n-nodes-base.httprequest n8n-nodes-base.set n8n-nodes-base.stickynote n8n-nodes-base.extractfromfile

Complexity

intermediate

Published 13 Mar 2025

Likes 0

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Install path: /data/workflows/3149/3149.json

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Image-based data extraction API using Gemini AI

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Use Cases

How It Works

Features

Integration

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Webhook

Block 2 - Respond to Webhook

Block 3 - Get image from URL

Block 4 - Call Gemini API (Flash Lite) with Image

Block 5 - Edit fields to output required data alone

Block 6 - Sticky Note

Block 7 - Sticky Note1

Block 8 - Sticky Note2

Block 9 - Transform image to base64

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions