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
Example Response
{
"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
// ⚠️ Note: This URL may be a documentation page. Check official docs for actual API endpoint.
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
Matrix Score Breakdown
Partially tested on Apr 5, 2026
Technical Specifications
Related Tags
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