(5/5)

Image-Based Data Extraction API using Gemini AI

Automated workflow: Image-Based Data Extraction API using Gemini AI. This workflow integrates 7 different services: webhook, stickyNote, httpRequest, set, respondToWebhook. It contains 18 nodes and follows best practices for error handling and security.

Integrations Used (2)

Webhook

HTTP Request

Workflow Structure (6 nodes)

100%

Webhook

Http Request

Get image from URL

Extract From File

Transform image to base64

Http Request

Call Gemini API (Flash Lite) with Image

Set

Edit fields to output required data alone

Respond To Webhook

Respond to Webhook

Node Types:

trigger

http

transform

default

Requires credentials

Prerequisites

Required Credentials (1)

Google Palm

Used by: Call Gemini API (Flash Lite) with Image

Docs

Complexity

Moderate

Some experience helpful. Multiple integrations or logic.

Setup time: ~20 min

Score: 23/100

4 Integrations

When to Use This Workflow

Real-time Response

React instantly when events happen - new orders, form submissions, or API calls.

Zero delay between trigger and action for time-sensitive workflows.

Time Savings

Replace repetitive manual tasks with reliable automation.

Reclaim hours every week for higher-value work.

Error Reduction

Eliminate human error from routine processes with consistent automation.

Improve accuracy and reliability across your workflows.

workflow.json

{
  "id": "YKZBEx4DTf0KGEBR",
  "meta": {
    "instanceId": "workflow-1cced8c0",
    "versionId": "1.0.0",
    "createdAt": "2025-09-29T07:08:01.454342",
    "updatedAt": "2025-09-29T07:08:01.454401",
    "owner": "n8n-user",
    "license": "MIT",
    "category": "automation",
    "status": "active",
    "priority": "high",
    "environment": "production"
  },
  "name": "Image-Based Data Extraction API using Gemini AI",
  "tags": [
    "automation",
    "n8n",
    "production-ready",
    "excellent",
...