# Find Duplicate Images: Compare Image URLs by Similarity

**Use case:** 

Find duplicate images by comparing one source image against a list of image URLs you provide. Each target gets a similarity score and a duplicate, near duplicate, or related verdict, so catalog managers and content teams can dedupe image libraries and confirm whether two files show the same picture.

## Input

```json
{
  "sourceImage": "https://upload.wikimedia.org/wikipedia/commons/3/3f/Fronalpstock_big.jpg",
  "mode": "compareTargets",
  "targetImages": [
    "https://upload.wikimedia.org/wikipedia/commons/thumb/3/3f/Fronalpstock_big.jpg/960px-Fronalpstock_big.jpg",
    "https://upload.wikimedia.org/wikipedia/commons/4/4d/Cat_November_2010-1a.jpg"
  ],
  "comparisonMode": "both",
  "similarityThreshold": 0.85,
  "phashThreshold": 8,
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "maxCandidates": 12,
  "incrementalMonitorMode": false,
  "monitorStateName": "default",
  "customId": ""
}
```

## Output

```json
{
  "candidateUrl": {
    "label": "Candidate Image",
    "format": "string"
  },
  "similarityScore": {
    "label": "CLIP Similarity",
    "format": "number"
  },
  "phashDistance": {
    "label": "pHash Distance",
    "format": "number"
  },
  "dhashDistance": {
    "label": "dHash Distance",
    "format": "number"
  },
  "isDuplicate": {
    "label": "Duplicate?",
    "format": "boolean"
  },
  "isNearDuplicate": {
    "label": "Near Duplicate?",
    "format": "boolean"
  },
  "verdict": {
    "label": "Verdict",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Reverse Image Search Monitor: Discover, Verify & Track Matches Actor is ready to run with the inputs already set for "Find Duplicate Images: Compare Image URLs by Similarity". [Sign up or log in](https://console.apify.com/create-task-from-example/yFHzyCW1MO8axJQOg) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Find Duplicate Images: Compare Image URLs by Similarity" task

The Reverse Image Search Monitor: Discover, Verify & Track Matches Actor will start running based on the input automatically. You can also change all the input fields, like source image, mode, and more, to match your specific use case.

### 3. Receive the "Find Duplicate Images: Compare Image URLs by Similarity" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as candidate image, CLIP Similarity, phash distance, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Find Duplicate Images: Compare Image URLs by Similarity" task via API](https://apify.com/getascraper/reverse-image-search-monitor.md).

## About this Actor

This example demonstrates how to use [Reverse Image Search Monitor: Discover, Verify & Track Matches](https://apify.com/getascraper/reverse-image-search-monitor.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/getascraper/reverse-image-search-monitor.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/getascraper/reverse-image-search-monitor.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).