Curated

(5/5)

Build Your Own Image Search Using AI Object Detection, CDN and ElasticSearchBuild Your Own Image Search Using AI Object Detection, CDN and ElasticSearch

1. Get Source Image [Read more about setting variables for your workflow](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.set) For this demo, we'll manually define an image to process. In production however, this image can come from a variety of sources such as drives, webhooks and more.

Integrations Used (3)

HTTP Request

Editimage

Elasticsearch

Workflow Structure (10 nodes)

100%

Manual Trigger

When clicking "Test workflow"

Set

Set Variables

Http Request

Fetch Source Image

Http Request

Use Detr-Resnet-50 Object Classification

Split Out

Split Out Results Only

Filter

Filter Score >= 0.9

Http Request

Fetch Source Image Again

Edit Image

Crop Object From Image

Http Request

Upload to Cloudinary

Elasticsearch

Create Docs In Elasticsearch

Node Types:

trigger

http

logic

default

transform

Requires credentials

Prerequisites

Required Credentials (3)

Cloudflare

Used by: Use Detr-Resnet-50 Object Classification

Docs

Elasticsearch

Used by: Create Docs In Elasticsearch

Docs

Http Query Auth

Used by: Upload to Cloudinary

Docs

Multiple services required

This workflow needs 3 different credentials. Make sure you have accounts for all services before importing.

Complexity

Complex

Advanced features used. Requires n8n experience.

Setup time: ~40 min

Score: 40/100

5 Integrations

When to Use This Workflow

AI-Powered Content Creation

Automate content generation, summarization, or analysis using AI capabilities.

Save hours of manual work while maintaining quality and consistency.

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.

Error Reduction

Eliminate human error from routine processes with consistent automation.

Improve accuracy and reliability across your workflows.

workflow.json

{
  "meta": {
    "instanceId": "26ba763460b97c249b82942b23b6384876dfeb9327513332e743c5f6219c2b8e"
  },
  "nodes": [
    {
      "id": "6359f725-1ede-4b05-bc19-05a7e85c0865",
      "name": "When clicking \"Test workflow\"",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        680,
        292
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "9e1e61c7-f5fd-4e8a-99a6-ccc5a24f5528",
      "name": "Fetch Source Image",
      "type": "n8n-nodes-base.httpRequest",
...