Top 10 AI‑Generated Video Detectors in 2026

Top 10 AI-Generated Video Detectors in 2025

As AI video generators become more advanced, it’s getting harder to know what’s real and what’s fake. Whether you’re a journalist, educator, business owner, or concerned viewer, knowing how to tell if a video is AI generated has never been more important. That’s where AI-generated video detectors come in.

These tools use AI video detection methods—ranging from deep learning and multimodal anomaly analysis to liveness/PAD (presentation attack detection) and enterprise fraud defense—to spot manipulated content. From free AI video detectors for casual users to enterprise-level platforms for deepfake video detection, there are solutions available for every need.

What is an AI-Generated Video Detector?

An AI video detector (or deepfake video detector) uses machine learning, signal analysis, and computer vision to identify inconsistencies in video content. These inconsistencies may include unnatural facial movements, strange lighting, lip-sync mismatch, metadata irregularities, or signs of injection/replay attacks—clues that a clip may have been AI-generated or manipulated.

If you’re wondering how to detect AI-generated videos, these tools provide actionable insights and confidence indicators to help you verify authenticity.

Benefits of Using AI-Generated Video Detectors

✅ Media integrity: Confirms the truth behind viral clips
✅ Security: Helps prevent fraud and impersonation
✅ Legal protection: Supports evidence workflows with reports
✅ Content moderation: Platforms can auto-flag synthetic content
✅ Peace of mind: Know how to tell if a video is AI generated in seconds

10 AI-Generated Video Detectors

1. Deepfake Detector

2. Attestiv

3. Hive AI

4. Hive Moderation

5. Arya AI

6. BioID

7. Facia AI

8. Incode

9. TruthScan

10. ScreenApp

Comparison Table

1. Deepfake Detector

Review
Deepfake Detector is a web-based tool designed to detect manipulated media (including video and audio). It focuses on spotting subtle patterns and anomalies that indicate deepfake manipulation, making it a practical choice for quick checks before sharing or publishing.

Best for: General users, students, fast authenticity checks
Features:

• Upload audio/video for detection

• Multi-format support (as marketed)

Pros:

• Simple workflow

• Useful for quick verification

Cons:

• Accuracy depends on the model + input quality

• Not a full enterprise moderation suite

Pricing: Varies by plan (site offers tool access; pricing depends on tier)

View Detials

2. Attestiv

Review
Attestiv is an AI-powered digital media forensics platform that scans uploaded videos or even video links to detect signs of deepfakes and edits. It’s positioned for both consumers and business workflows, and it also offers platform/API options for teams that need repeatable verification.

Best for: Media verification teams, businesses, investigators
Features:

• Scan video uploads or video links

• AI-powered deepfake and alteration detection

• Dashboard + API integrations

Pros:

• Built for workflow use (reports + integrations)

• Clear “video verification” positioning

Cons:

• Advanced capabilities are typically paid/enterprise

• Large files may take longer to analyze

Pricing: Offers a free option, with paid tiers for businesses

View Detials

3. Hive AI

Review
Hive AI provides AI-generated and deepfake content detection APIs that can scan video (and other media types) and return confidence scores. This is ideal when you need to integrate detection directly into products, pipelines, or internal tools.

Best for: Developers, platforms, automated scanning pipelines
Features:

• AI-generated/deepfake detection APIs

• Confidence scoring outputs

• Multi-content support (including video)

Pros:

• Easy to plug into existing systems

• Good fit for automation

Cons:

• Requires implementation work (API integration)

• Pricing usually depends on usage/scale

Pricing: Custom / usage-based (typical API model)

View Detials

4. Hive Moderation

Review
Hive Moderation is the broader moderation platform and workflow layer around Hive’s models—useful for trust & safety teams that need tooling, review flows, and operational controls alongside detection. It pairs well with AI-generated/deepfake detection for platform-scale moderation.

Best for: Social apps, UGC platforms, trust & safety teams
Features:

• Moderation workflows + AI model outputs

• Supports AI-generated/deepfake detection as part of content safety

Pros:

• Built for teams and review operations

• Scales better than “single upload” tools

Cons:

• Not aimed at casual one-off usersUsually requires sales/onboarding

Pricing: Custom

View Detials

5. Arya AI

Review
Arya AI offers a Deepfake Detection API built for real-time defense against manipulated content in selfies, video, and even audio clips. It’s positioned for identity fraud prevention and misinformation defense where automated checks matter.

Best for: Fraud prevention teams, developers, verification workflows
Features:

• Deepfake Detection API for video/selfies/audio

• Real-time defense positioning

Pros:

• API-first and integration-friendly

• Useful for continuous screening

Cons:

• Not a simple consumer “upload and done” tool

• Requires integration work

Pricing: Custom

View Detials

6. BioID

Review
BioID is well-known for face biometrics and liveness detection (PAD), explicitly positioning its liveness layer as protection against spoofing and deepfakes. This makes it valuable when your “video detection” problem is really a biometric security problem (e.g., login, onboarding, remote verification).

Best for: Authentication security, fintech onboarding, biometrics
Features:

• Liveness detection / anti-spoofing PAD

• Deepfake and presentation attack defense

Pros:

• Strong fit for biometric workflows

• Focused on real-world spoof threats

Cons:

• Not for scanning random viral clips

• Requires integration

Pricing: Custom

View Detials

7. Facia AI

Review
Facia positions itself around deepfake and liveness detection for onboarding, KYC, and authentication. It highlights real-time flagging of manipulated media and replay attempts, which is a major need in identity verification pipelines.

Best for: KYC, onboarding, identity verification
Features:

• Deepfake detection across selfies/video

• Liveness detection to prevent spoofing/replay attempts

Pros:

• Designed for KYC flows

• Covers both deepfake + liveness layers

Cons:

• Enterprise implementation required

• Not aimed at casual users

Pricing: Custom

View Detials

8. Incode

Review
Incode’s deepfake defense focuses on detecting deepfakes and injection attacks (like virtual cameras or device emulation) in identity and verification flows. If your threat model includes sophisticated fraud attempts during capture, this category is especially relevant.

Best for: Enterprises, banks, platforms fighting AI fraud
Features:

• Deepfake detection

• Injection/virtual camera defense and device integrity checks

Pros:

• Strong alignment with modern AI fraud tactics

• Built for scale and high-risk use cases

Cons:

• Not a consumer tool

• Usually requires onboarding and integration

Pricing: Custom

View Detials

9. TruthScan

Review
TruthScan markets enterprise-grade AI detection across text, images, voice, and video, designed to protect organizations from AI-driven fraud. It also offers a “Deepfake Detector” interface for uploading and analyzing content, positioned for enterprise workflows and integrations.

Best for: Enterprises, universities, organizations needing broad AI detection
Features:

• Multi-modal detection (video/audio/text/images)

• Enterprise workflow + API positioning

Pros:

• One platform across multiple media types

• Built for org-level policy and security needs

Cons:

• Likely sales-led pricing

• Best value at scale

Pricing: Enterprise/demo-based

View Detials

10. ScreenApp

Review
ScreenApp offers an “AI video detector” feature for checking whether a video is AI-generated, aimed at quick online verification. It markets an upload-or-URL workflow and highlights checks like motion patterns and audio-visual synchronization. (Treat accuracy claims as marketing until validated in your own testing.)

Best for: Quick online checks, casual users, fast screening
Features:

• Upload a video or paste a URL

• Checks motion patterns and audio-visual sync signals

Pros:

• Fast and simple

• Web-based workflow

Cons:

• Not an enterprise-grade forensic report tool by default

• Results should be cross-verified for high-stakes decisions

Pricing: Marketed as free online scanning

View Detials

How to Choose the Best AI Video Detector

Determine your use case

• Platform moderation & pipelines: Hive AI, Hive Moderation

• Forensic / verification workflows: Attestiv

• KYC / anti-fraud / identity security: Incode, BioID, Facia, Arya AI

• Broad enterprise AI detection across media: TruthScan

• Quick online checks: Deepfake Detector, ScreenApp

Compare detection methods

• Moderation + automated scoring: Hive (AI & Moderation)

• Forensic deepfake scanning (uploads/links): Attestiv

• Liveness / PAD / replay defenses: BioID, Facia

• Injection/virtual camera defense: Incode

Consider platform compatibility

• Want web-based? ScreenApp, Attestiv, Deepfake Detector, TruthScan

• Need APIs/SDKs? Hive AI, Arya AI, BioID, Facia, Incode

Factor in pricing

• Often custom/enterprise: Hive, Incode, BioID, Facia, Arya, TruthScan

• More accessible/self-serve: ScreenApp (marketed free), Attestiv (free option)

Conclusion

As deepfakes and synthetic media increase, AI video detectors have become essential. Whether you’re a concerned user, media professional, developer, or trust & safety team, there’s a solution that fits your needs. For the strongest results, combine

 

FAQ

How to tell if a video is AI generated?

Use a detector (Attestiv, ScreenApp, or Deepfake Detector) and verify results with a second tool for higher confidence.

What is the best free AI video detector?

ScreenApp markets free AI video checks, and Attestiv offers a free deepfake detector option.

Can I use fake video detection online free?

Yes—tools like ScreenApp and Attestiv’s free option support online scanning.

How to detect AI-generated videos without software?

You can look for lip-sync issues and visual glitches, but AI detectors are more reliable for verification.