Overview

SkyBiometry is a cloud API that detects faces in photos and can recognize or group them across multiple images. You upload an image URL or file and the API returns the location and attributes of every face it finds. It is great for building photo tagging, attendance, or identity verification features.

Beginner Tip

Use well-lit, front-facing photos with at least 80×80 pixels per face for best detection results. Train named tags with at least 10 varied photos each before calling the recognition endpoint.

Available Data

The kind of data this API exposes, based on its documentation. We could not call the endpoint to confirm the exact field names.

SkyBiometry data via REST API

Example Response

Illustrative shape only — we were not able to call this endpoint (it requires credentials or exposes no public sample URL), so the fields below show the kind of data this API returns rather than a recorded response.

JSON Response · Illustrative
{
  "status": "success",
  "data": {
    "result": "Data from SkyBiometry",
    "description": "Face Detection, Face Recognition and Face Grouping",
    "timestamp": "2025-01-15T10:00:00Z"
  }
}

Field Reference

photos Array of processed photos, one entry per input URL.
photos[].tags Detected faces in the photo, each with position and attributes.
photos[].tags[].center Percentage-based x/y position of the face center within the image.
photos[].tags[].width Width of the face bounding box as a percentage of image width.
photos[].tags[].attributes Optional facial attributes such as gender, mood, and glasses.

Implementation Example

Calls a real endpoint of this API. Replace any placeholder credentials with your own key.

Request
const url = "https://skybiometry.com/documentation/";
// Replace headers or query params with the values required by this API.
const response = await fetch(url, {
  headers: {
  "X-API-Key": "YOUR_API_KEY"
  }
});
if (!response.ok) throw new Error(`Request failed: ${response.status}`);
const data = await response.json();
console.log(data);

What Can You Build?

Note: These code examples are AI-generated and unverified. Always refer to the official API documentation for accurate usage.

Common Errors & Troubleshooting

Generated guidance based on this API's documentation, not observed by us. Treat it as a starting point and check against the provider's own error reference.

Invalid API credentials api_key or api_secret parameter is wrong or missing.
Copy both api_key and api_secret from your SkyBiometry account dashboard and include them in every request.
No faces detected Image resolution is too low or faces are too small or angled.
Use high-resolution images with front-facing faces at least 80×80 px.
Namespace not found The tag namespace used for recognition does not exist yet.
Create and train tags first using the faces/train endpoint before calling recognize.

Metadata Score Breakdown

Estimated from metadata — endpoint not independently tested

This score is estimated from observable metadata — HTTPS support, authentication model, declared CORS, and documentation reachability — because the API requires authentication or exposes no publicly testable endpoint. The five-signal breakdown is only shown for live-tested APIs.

Metadata estimate · endpoint not independently tested

Technical Specifications

Auth API Key
HTTPS REQUIRED
CORS UNKNOWN
Category Machine Learning
Difficulty Intermediate
Listing details not endpoint-verified

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