Hirak FaceAPI

API

Free, unlimited face detection & recognition API with age/gender estimation

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Overview

Hirak FaceAPI is a RESTful Machine Learning API offering face detection, recognition, and attribute estimation (age/gender). It accepts image inputs via POST requests (direct upload or URL) and returns JSON responses with bounding boxes, confidence scores, age ranges (e.g., 25-30), gender labels (male/female), and recognition matches. Use cases include user verification for apps, demographic analysis in marketing, content moderation for platforms, and photo organization tools. The API is accurate, requires no authentication, and has no quota limits, making it suitable for hobbyist projects and production-scale applications.

Example Integration (JavaScript)

script.js JS

fetch('https://faceapi.hirak.site/')
  .then(res => res.json())
  .then(data => console.log(data))
  .catch(err => console.error(err));

Key Features

  • RESTful endpoints
  • JSON response format
  • Face detection & recognition
  • Age/gender estimation
  • No quota limits
  • High accuracy
  • No authentication required

Frequently Asked Questions

? Is Hirak FaceAPI free to use?

Yes, Hirak FaceAPI is completely free with no quota limits or usage restrictions.

? Does it require an API Key?

No, the API does not require an API key for access, simplifying integration into any project.

? What is the response format?

All responses are in JSON format, including details like face bounding boxes, confidence scores, age estimates, and gender labels.

Top Alternatives

Face++ API Search Google
Microsoft Azure Face API Search Google
Google Cloud Vision API Search Google

People Also Ask about Hirak FaceAPI

Hirak FaceAPI vs Face++ APIHirak FaceAPI vs Microsoft Azure Face APIHirak FaceAPI vs Google Cloud Vision API Hirak FaceAPI 2025 review

Tool Info

Pricing Free
Category Machine Learning
Platform Public API

Pros

  • Unlimited usage (no quotas)
  • High accuracy in face analysis
  • Supports multiple attributes
  • Easy integration (no API key)

Cons

  • No official service level agreement (SLA)
  • Lacks advanced features like emotion detection
  • Limited public documentation

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