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DeFake

defakes.comComputer vision, OCR & document AI🇺🇸

PulseGate's liveness check found it on 13 Sep 2026; it has been in the index since 28 Jun 2026. How this is checked

DeFake is a forensic-grade media verification platform that helps fraud, security, and risk teams determine if images, videos, or audio files are authentic or manipulated. It provides explainable reports and tamper-evident audit trails, leveraging AI to detect deepfakes and other media forgeries.

Inferred · not functionally tested

PaidWebCloud-managed
DeFake preview
Visit defakes.com

Overview

6 features

Purpose: Determining whether media evidence has been manipulated or generated by AI to prevent fraud and security risks.

Inferred · not functionally tested

Audience: fraud and security teams

Inferred · not functionally tested

Functions: data_extraction, analytics, monitoring

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: unknown · Self-hosting: unknown

Recorded constraints: pricing: paid · license: Proprietary · platforms: WEB · deployment: browser, cloud_managed

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: game.defakes.com. These links do not verify the individual claims.

DeFake sits in PulseGate's Computer vision, OCR & document AI category. Inferred · not functionally tested: It focuses on determining whether media evidence has been manipulated or generated by AI to prevent fraud and security risks. Inferred · not functionally tested: DeFake is a B2B product aimed at fraud and security teams. Basis unknown · not verified: Pricing is paid. Basis unknown · not verified: It ships for the web.

Behind DeFake is DeFake, based in the United States, and it first shipped in 2026. Inferred · not functionally tested: Key capabilities include media verification, explainable reports, and audit trails.

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

Tasks: Inferred · not functionally tested

  • Media verification
  • Explainable reports
  • Audit trails
  • Image analysis
  • Video analysis
  • Audio analysis

Topics: Inferred · not functionally tested

Tags
media-authenticitydeepfake-detectionforensic-analysis
AI capabilities
ImageVideoAudio
Inference: Cloud APIWeights: Proprietary

JSON profile · Text profile · Access guide

Built with & integrations

Framework
Next.js
Hosting
Vercel
Runs on
BrowserCloud-managed
Detected from
Next.js
/_next/static/ in the HTML · __next_f in the HTML
Vercel
x-vercel-id header · x-vercel-cache header

Trust & compliance

Indexing history

What PulseGate has recorded for this listing

Nothing recorded for this listing in this window.

Frequently asked questions about DeFake

What is DeFake?
Inferred · not functionally tested: DeFake focuses on determining whether media evidence has been manipulated or generated by AI to prevent fraud and security risks. It is catalogued under Computer vision, OCR & document AI on PulseGate.
Who should use DeFake?
Inferred · not functionally tested: DeFake is a B2B product built for fraud and security teams.
Does DeFake have a free plan?
Basis unknown · not verified: No — DeFake is paid.
What platforms does DeFake run on?
Basis unknown · not verified: DeFake runs on the web.
Is DeFake still active?
PulseGate's liveness check found it on 13 Sep 2026.
What projects are similar to DeFake?
Similar projects tracked by PulseGate include FakeRadar, DeepGuard, and AI Detector.FakeRadarDeepGuardAI Detector
Who develops DeFake?
DeFake is developed by DeFake, based in the United States.
How long has DeFake been around?
DeFake first shipped in 2026.

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