Facemint Features

Innovative Built for Performance, Designed for Flexibility

Facemint offers powerful face detection, recognition, and attribute analysis tailored for real-world applications — from photo and video to GIF. Whether you’re building for creators, consumers, or enterprise, we’ve got you covered.

Detect Faces Across Any Media Format

From high-resolution photos and viral GIFs to full-length videos and immersive VR experiences — Facemint delivers accurate face detection, recognition, and attribute analysis for every format.

Photo

JPG / PNG / WebP

Video

MP4 / MOV

GIF

GIF / WebP

VR

Equirectangular 360° MP4

A UI mockup showing a video preview and trimming slider for face detection processing

Trim Before Analysis — No Waste, No Hassle

Let users define the exact segment to scan for faces. Processing only what matters keeps detection lightweight and cost-saving — ideal for long videos and batch workloads.

View See Trimming API Guide

Detect One, Some, or All Faces — You Decide

Locate every face in any media and choose exactly what to extract: bounding boxes, identity matches, age, gender, emotion, head pose, and landmarks — all returned in a single task.

View Details
An image showing multiple detected faces with identity and attribute overlays
A visual representation of large file handling in face detection API with 2GB support

Big Files? No Problem

Facemint supports media uploads up to 2GB across all formats — including ultra-long videos, high-res images, and large animated GIFs. Built for heavy-duty detection and batch analysis workloads.

View File Specs

8K Input. Pixel-Perfect Detection.

Facemint detects faces in media up to 8K resolution and lets you tune sampling rate, minimum face size, and confidence thresholds. Full precision when you need it — speed when you don’t.

Learn About Detection Controls
A resolution selector UI from 480p to 8K showing sampling control for face detection
Side-by-side comparison of low-quality and enhanced face crop used for recognition

Rich Face Attributes — Age, Gender, Emotion & More

For every detected face, get estimated age and gender, emotion, head pose, glasses, mask, quality score, and 106 landmarks — everything you need to build smart experiences on top of a single API call.

Attribute API Guide

Identity Search & Face Matching

Build your own face library and search against it in milliseconds. Compare any two faces, cluster faces across a video, or match detections to known identities — with confidence scores on every result.

View Recognition API Guide
A video player UI showing identity labels matched against a face library
Our Powerful API

Ready to Build? Explore the API Developers Love

Facemint’s API makes face detection, recognition, and attribute extraction fast, scalable, and flexible — built for real-world products and production-ready from day one.

Here’s why developers love it:

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    Easy Integration Quick to set up with clear documentation and developer-friendly API endpoints.

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    Scalable Performance Effortlessly handle high-volume tasks with our robust, cloud-native infrastructure.

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    Customizable Features Tailor each detection with flexible API parameters — choose attributes, thresholds, and output fields.

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Advantages

Why Developers Choose Facemint

Facemint delivers everything you need to build accurate, high-quality face detection and recognition experiences — from powerful media support to full-featured, developer-friendly APIs.

01

Accurate Face Detection & Recognition

Robust detection and identity matching across angles, lighting, and motion — reliable in real-world footage.

02

All-Media Compatibility

Analyze faces in videos, photos, GIFs, and even VR — all with one API.

03

Rich Attributes & Identity

Per-face age, gender, emotion, pose, quality, landmarks, and identity matches — programmatically and in one call.

04

Large File & Resolution Support

Process files up to 2GB at up to 8K resolution — no duration or quality limits.

05

Scalable Infrastructure

Built for high-demand environments — fast processing, stable delivery, and ready for scale.

06

Simple Integration, Powerful API

RESTful API with clean endpoints, complete documentation, and fast onboarding for any stack.

Why Face Recognition

Why Face Detection & Recognition Is a Must-Have Now

Face detection and recognition power search, moderation, analytics, access control, and personalization. Whether you’re building media tools, security platforms, or consumer products, now is the time to add it.

* The data is sourced from real customer feedback.

Proven Market Demand

Face recognition is a core building block across media, security, and analytics.

An abstract illustration representing strong market demand for face recognition

Real-Time Insights

Turn raw media into structured data — who, how many, how old, how they feel.

An abstract graphic symbolizing structured face insights from media

Stronger Moderation

Detect faces in uploads and automate review, tagging, or blocking at scale.

An icon representing automated content moderation powered by face detection

One API, Endless Applications

From media search to access control, analytics, and personalization — one API, many use cases.

An abstract graphic representing face recognition use cases across industries
Metrics

Proven Excellence

Explore the numbers that showcase our performance, precision, and scale.

Task Success Rate
99.98%
Model Updates
100+
Unique Identities Indexed
500K+
Faces Analyzed
8M+
FAQ

Your Questions Answered

Everything you need to know in one place.

What types of files does Facemint support?

Facemint accepts image formats (JPG, PNG, WebP), video formats (MP4, MOV, M4V), and animated formats (GIF, WebP). Maximum file size is 2GB, and video length is unrestricted.

What does the API return for each detected face?

For every face we return a bounding box, confidence score, 106 landmarks, head pose, estimated age and gender, emotion, quality score, and — if recognition is enabled — matching identities from your face library.

Can I identify specific people, not just detect faces?

Yes. Upload reference images to build a face library, then pass a library ID with each request. The API returns the top matching identity and a confidence score for every detected face.

How is pricing calculated?

You only pay for what you use — pricing is based on the actual resources consumed per task.

Can I trim videos before detection runs?

Yes. Our API lets you specify a start and end time so detection only runs on the segment you care about — saving both time and cost.

Can I choose which attributes to extract?

Absolutely. Pass an attributes list to enable only the fields you need — for example age, gender, emotion, pose, landmarks, or quality. Fewer attributes mean faster, cheaper requests.

How accurate is the recognition model?

Our model is continuously trained on diverse, real-world data and routinely achieves 99%+ 1:1 verification accuracy on industry benchmarks. Every match comes with a confidence score so you can tune thresholds for your use case.

How fast is the processing time?

Most image tasks are completed within seconds. Videos vary depending on file size and resolution, but generally complete in minutes.

Are there any usage limits?

There are no restrictions on how many tasks you can run. As long as your usage stays within the API rate limits, you’re free to process as many tasks as needed.

Do you store uploaded files or generated results?

No. We do not store any user content. All files — including inputs and outputs — are permanently deleted immediately after the task is completed.

Users Say

What Our Users Say

Hear from the people who trust our solution.

Headshot of Alex Turner, CTO at a social app startup
Alex Turner

CEO

Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's.

Profile picture of Sara Kim, Growth Lead at an avatar tool startup
Sara Kim

Growth Lead, Avatar Creator Tool

After adding face recognition for auto-tagging, our weekly active users jumped by 36%. It became our best-performing feature almost overnight.

Portrait of Thomas Müller, Technical Director at a virtual experience agency
Thomas Müller

Technical Director, Virtual Experience Agency

Our clients want precision. Facemint’s attribute analysis gave us reliable age and emotion signals across thousands of clips — no extra effort on our side.

Ready to Build with the Best Face Detection & Recognition API?

Start integrating in minutes. Try Facemint free and see why developers trust us for fast, scalable, and accurate face detection and recognition.

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