Who is FaceLivenessDetection for?

FaceLivenessDetection is a B2B product built for security professionals.

Is FaceLivenessDetection free?

Yes — FaceLivenessDetection is free to use.

What platforms does FaceLivenessDetection run on?

FaceLivenessDetection runs on the web. It can also be self-hosted.

Is FaceLivenessDetection still maintained?

Unverified. FaceLivenessDetection has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.

What projects are similar to FaceLivenessDetection?

Similar projects tracked by PulseGate include Face Liveness Detection SDK, Face Recognition SDK, Liveness Detection SDK, and SpoofSense.

Who makes FaceLivenessDetection?

FaceLivenessDetection is developed by kby-ai.

When did FaceLivenessDetection launch?

FaceLivenessDetection first shipped in 2023.

Back to the index

FaceLivenessDetection

Name: FaceLivenessDetection
Author: kby-ai

huggingface.coOther AI

FaceLivenessDetection is a web application that analyzes uploaded face photos to determine if the subject is a real, live person or a spoof. It uses AI to help security professionals and organizations prevent identity fraud and enhance verification processes.

FreeWebSelf-hostedCloud-managed

Visit huggingface.co

Overview

5 features

FaceLivenessDetection is an Other AI project. It focuses on detecting whether a face in a photo is genuine or a spoof to prevent fraud. It is built as a B2B product for security professionals. FaceLivenessDetection is free to use. FaceLivenessDetection is available on the web, and it can be self-hosted.

It is developed by kby-ai, and it first shipped in 2023. Among its 5 catalogued features are photo upload, liveness check, and AI analysis.

Summary written by a language model from the project’s public pages.

Photo upload
Liveness check
AI analysis
Spoof detection
Result display

Built with & integrations

Hosting

AWS

AI providers

local_oss

Runs on

BrowserSelf-hostedCloud-managed

Detected from

AWS: x-amz-cf-id header · x-amz-cf-pop header · via header
local_oss: huggingface in the HTML

Trust & compliance

Verified signals

HTTPSFree tier

Indexing history

What PulseGate has recorded for this listing

Indexed10 Jul · 18:42 UTC
kby-ai/FaceLivenessDetection verified against its public source
Source: PulseGate · Open

Frequently asked questions about FaceLivenessDetection

What is FaceLivenessDetection?: FaceLivenessDetection focuses on detecting whether a face in a photo is genuine or a spoof to prevent fraud. It is catalogued under Other AI on PulseGate.
Who is FaceLivenessDetection for?: FaceLivenessDetection is a B2B product built for security professionals.
Is FaceLivenessDetection free?: Yes — FaceLivenessDetection is free to use.
What platforms does FaceLivenessDetection run on?: FaceLivenessDetection runs on the web. It can also be self-hosted.
Is FaceLivenessDetection still maintained?: Unverified. FaceLivenessDetection has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What projects are similar to FaceLivenessDetection?: Similar projects tracked by PulseGate include Face Liveness Detection SDK, Face Recognition SDK, Liveness Detection SDK, and SpoofSense.Face Liveness Detection SDK Face Recognition SDK, Liveness Detection SDK SpoofSense
Who makes FaceLivenessDetection?: FaceLivenessDetection is developed by kby-ai.
When did FaceLivenessDetection launch?: FaceLivenessDetection first shipped in 2023.

At a glance

Platforms: Web
Languages: English
Built for: security professionals
Model: B2B
Solves: Detecting whether a face in a photo is genuine or a spoof to prevent fraud.

Registered as

Hugging Face Spaces: kby-ai/FaceLivenessDetection

Developer

kby-ai

Index record

Identity confidence: High · 95.6
Indexed: 10 Jul 2026
Lifecycle: Alive
Last seen: 10 Jul 2026

Identity audit (12)

Slug: kby-ai-facelivenessdetection-huggingface-co
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 10 Jul 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Derived from the project's own page and URL.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Canonical URL: https://huggingface.co/spaces/kby-ai/FaceLivenessDetection

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