Solutions

Deepfake detection,
by use case.

The same detection engine for video, image and audio, applied to the workflows where being fooled is most expensive.

✓Video, image and audio in one platform
✓A verdict with confidence score
✓Web app and REST API

Start free, 50 scans Talk to our team

detection result

● LIKELY SYNTHETIC · 0.92

One engine across video, image and audio

A verdict with confidence, whatever the format.

VerdictSYNTHETIC

Confidence0.92

FormatsVIDEO · IMAGE · AUDIO

$40B

Projected US GenAI fraud losses by 2027 (Deloitte)

+1,100%

US deepfake fraud growth, Q1 2025 (Sumsub)

Of all global fraud is now deepfakes (Sumsub)

$900M

AI-assisted cybercrime losses, 2025 (FBI IC3)

Figures from Sumsub, Deloitte, FBI IC3, Pindrop, Entrust and iProov. Full data on our deepfake statistics page.

Solutions

Where teams check video first.

Six places where a generated face, voice or photo turns into a real decision.

KYC & Identity Verification

Check selfie and liveness videos for generated faces before an account is approved.

Explore →

Financial Fraud & Executive Impersonation

Screen calls, clips and voice notes that ask for money in an executive’s name.

Explore →

Newsroom & Media Verification

Verify user-submitted footage frame by frame before it is published.

Explore →

Trust & Safety for Platforms

Flag synthetic video, images and voice at upload, at platform volume.

Explore →

Hiring & Remote Interviews

Check interview recordings, headshots and voice notes before an offer goes out.

Explore →

Insurance Claims

Score claim photos, walkarounds and recorded statements before a claim is paid.

Explore →

One engine

Video, image, audio, one verdict.

Detection enginevideo · image · audio

Video modelREADY

Image modelREADY

Audio modelREADY

The same detection engine powers every use case above. Submit video, image or audio and multiple forensic signal layers run in parallel to return a single verdict and confidence score.

One REST API and a web app cover deepfake detection, AI-image detection and AI-voice detection, so identity, fraud, newsroom and trust and safety teams work from the same result.

1 · Submit

Upload a file in the web app, or call the API.

2 · Analyze

Forensic signal layers run in parallel against video, image or audio.

3 · Decide

Get a verdict and confidence score.

See the output

One request, one structured verdict.

Send media to the API and get a verdict, confidence score and the signals behind it.

~/curl · POST detect

$ curl https://app.deepfakedetector.ai/api/v1/detect/video \
  -H "Authorization: Bearer sk_live_…" \
  -F "file=@evidence.mp4"

{
  "verdict": "likely_synthetic",
  "confidence": 0.92,
  "signals": ["lip_sync_drift", "skin_texture"]
}

Why teams choose it

Accurate, fast, private.

Consensus verdict

A consensus verdict across signal layers, not one model.

Every format

Video, image and audio.

Built to integrate

Web app and a REST API.

Privacy-first

Sources & methodology

Backed by current fraud research.

The figures on this page are drawn from primary industry reports, not our own marketing. Full data, definitions and links are on our deepfake statistics page.

REPORTSumsub, Identity Fraud Report 2025 to 2026

REPORTDeloitte Center for Financial Services, Generative AI and fraud (2024)

REPORTFBI Internet Crime Complaint Center (IC3), 2025 Annual Report

REPORTPindrop, 2025 Voice Intelligence and Security Report

REPORTEntrust, 2025 Identity Fraud Report; iProov, Threat Intelligence Report 2026

REVIEWEDWritten and fact-checked by the Deepfake Detector team, reviewed by Kevin, Lead Detection Engineer. Last reviewed July 2026. About us.

FAQ

Solutions questions.

Everything teams ask before they roll it out. If yours isn't here, email hello@deepfakedetector.ai.

What can Deepfake Detector check? ＋

AI-generated and manipulated video, images and audio, through a web app and a REST API. Each check returns a verdict with a confidence score.

Which team is it for? ＋

Any team where a convincing fake is expensive: KYC and onboarding, finance and fraud, newsrooms, and trust and safety on platforms. Each use case has a dedicated page above.

Do we need engineering to use it? ＋

No. The web app needs no setup. A REST API is available when you want detection inside your own pipeline.

How accurate is it? ＋

The verdict is a consensus across multiple forensic signal layers rather than a single model, expressed as a confidence score you can set thresholds on.

What happens to files we upload? ＋

See the Privacy Policy for full data-handling detail.

See it on your
own media.

Start free with 50 scans, or talk to our team about your use case.

Start free, 50 scans Talk to our team

Where teams check video first.

KYC & Identity Verification

Financial Fraud & Executive Impersonation

Newsroom & Media Verification

Trust & Safety for Platforms

Hiring & Remote Interviews

Insurance Claims

Video, image, audio, one verdict.

1 · Submit

2 · Analyze

3 · Decide

One request, one structured verdict.

Accurate, fast, private.

Consensus verdict

Every format

Built to integrate

Privacy-first

Backed by current fraud research.

Solutions questions.

Go deeper.

Deepfakes and Elections: How Synthetic Media Threatens the Vote

Election Deepfake Laws: What Is Banned, What Needs a Label, and Where

Enterprise Deepfake Detection Platforms: The 2026 Buyer's Guide

See it on yourown media.

See it on your
own media.