# VisionFlow Match

> Hosted OpenCV for finding a pattern image inside a larger image: template matching, ORB/SIFT feature matching and RANSAC homography, over HTTP and MCP. Gives automation agents pixel boxes, corners and confidence for UI elements, logos and objects in screenshots. A hosted alternative to running OpenCV (opencv/opencv) yourself.

An HTTP API at https://visionflow-match.saastemly.com, also an MCP server at https://visionflow-match.saastemly.com/mcp, paid per call: with x402 (USDC on Base; an unpaid call answers 402 Payment Required with the terms, which x402 clients pay automatically), or with prepaid credits or a monthly plan bought by card at https://visionflow-match.saastemly.com (send the API key as Authorization: Bearer <key>).

## Endpoints

- POST /v1/template-match ($0.003 per call; 3 free calls a day per caller with the header X-Free-Call: 1; MCP tool "template-match"): Find where a small pattern image (a button, icon, logo or crop) appears inside a larger screenshot or picture, using OpenCV cv2.matchTemplate. Returns the best position, plus every non-overlapping position scoring above the threshold, as pixel boxes with scores. Use it for exact-looking pixel patterns at the same scale; for different scale, rotation or perspective use /v1/homography.
- POST /v1/feature-match ($0.004 per call; 3 free calls a day per caller with the header X-Free-Call: 1; MCP tool "feature-match"): Match local features between a pattern image and a larger image: detects ORB or SIFT keypoints in both, matches them with a brute-force matcher and Lowe's ratio test (OpenCV BFMatcher.knnMatch), and returns the good matches as point pairs sorted by distance. Use it to see which parts of a pattern are present and where, even when the pattern is scaled or rotated; for the pattern's outline use /v1/homography.
- POST /v1/homography ($0.004 per call; 3 free calls a day per caller with the header X-Free-Call: 1; MCP tool "homography"): Locate a pattern image inside a larger image even when it is scaled, rotated or viewed at an angle: ORB or SIFT feature matching plus cv2.findHomography with RANSAC. Returns whether it was found, the 3x3 homography (pattern pixels to image pixels), the four projected corners, the bounding box, and the inlier count as confidence. Use it to find a UI element, logo or object in a screenshot or photo.

## Examples

POST https://visionflow-match.saastemly.com/v1/template-match
```json
{
  "image": "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",
  "template": "iVBORw0KGgoAAAANSUhEUgAAACQAAAAcCAAAAAAsQkKEAAAA+klEQVQ4y42SPQ6CUBCEZwktnsCOyhPYcw/tqLyAsREruAAX8AR2dvQmFlZaYeUJpNJGF/D9PyKTrLDyMcPbLNVodYLUhGsGQ4HN4Ml180GGZg7lgVwFdhp3jlUHzQ1o7gTacQd591aiRSbyzg/xfIqEf6tU9CFaKDvpHnigSmRzFXHZUWc6DFAc1Z0VXvaxl1zxzylEn/d/Th4j7LlqDSLv65WiAiICUeFCqTtMDxVLKzlxh9oqangLdiNXRVgpqBigDGj9d5hDnxSPWt/YgKy0j97Qvb9GWOl/52t5mgtvQQQ0UduXCsutzLBz6VVyrTayHT4dg01jQ19MuT6lPI4mjwAAAABJRU5ErkJggg==",
  "method": "TM_CCOEFF_NORMED",
  "threshold": 0.8,
  "max_matches": 5
}
```

POST https://visionflow-match.saastemly.com/v1/feature-match
```json
{
  "image": "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",
  "template": "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",
  "detector": "sift",
  "ratio": 0.75,
  "max_matches": 10
}
```

POST https://visionflow-match.saastemly.com/v1/homography
```json
{
  "image": "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",
  "template": "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",
  "detector": "sift"
}
```

## More

- [Pricing as JSON](https://visionflow-match.saastemly.com/v1/pricing)
- [OpenAPI description](https://visionflow-match.saastemly.com/openapi.json)
- [x402 discovery manifest](https://visionflow-match.saastemly.com/.well-known/x402)
- [MCP server](https://visionflow-match.saastemly.com/mcp): Streamable HTTP; add it to an MCP client with the header Authorization: Bearer <API key>
- [Home page](https://visionflow-match.saastemly.com/)