Tagline

Detect AI-Generated Images, Videos, and Voices Before They Spread

Website

https://deepfakedetector.ai

Category

AI Detection

Pricing

Free plan available with 50 detections per month. Paid plans start at $49/month, with discounted annual billing available. Business and Enterprise plans offer higher detection limits and additional support.

Overview

Deepfake Detector is an AI-powered media verification tool designed to identify potential deepfakes and synthetic content in images, videos, and audio recordings. It analyzes digital media for signals associated with AI generation, voice cloning, and manipulation, helping users assess whether content may be authentic or artificially generated.

The platform is designed for individuals, journalists, fact-checkers, financial teams, security professionals, and organizations that need to investigate suspicious media or reduce risks associated with impersonation scams and misinformation.

Deepfake Detector combines separate detection capabilities for images, video, and audio in one platform. Users can upload files through its web application, analyze online media through a browser extension, or integrate detection into their own systems through a REST API.

Its results include verdicts and confidence information intended to help users understand the likelihood that media is synthetic. Because detection is probabilistic, results should be treated as evidence for further investigation rather than definitive proof of authenticity.

Tool Information

Key Features

1. AI Image Detection

Deepfake Detector analyzes images for signals that may indicate AI generation or manipulation. Its image detector is designed to identify synthetic images and suspicious facial characteristics associated with major image-generation systems.

Capabilities/Benefits

• Analyze uploaded images for signs of AI generation.
• Detect potential synthetic faces and manipulated imagery.
• Examine image characteristics such as texture, lighting, and facial details.
• Provide a verdict and confidence information.
• Support image verification for research, journalism, and fraud investigations.

2. AI Video Detection

The video detector examines video content for potential synthetic-generation artifacts and manipulation indicators.

It can analyze individual frames and look for inconsistencies that may indicate an artificially generated or manipulated video.

Capabilities/Benefits

• Analyze supported video files.
• Examine frames for suspicious visual artifacts.
• Identify potential lip-sync inconsistencies.
• Detect patterns associated with synthetic video generation.
• Flag suspicious segments for further investigation.
• Support verification of potentially manipulated footage.

The platform advertises video analysis for clips up to 10 minutes on its paid plans. File and duration limits depend on the subscription tier.

3. AI Voice Detection

Deepfake Detector includes an audio detector designed to identify potential AI-generated speech and cloned voices.

This capability is particularly relevant to impersonation scams, suspicious voice messages, and recordings that appear to come from a trusted person.

Capabilities/Benefits

• Analyze audio recordings for synthetic speech indicators.
• Identify potential voice-cloning artifacts.
• Examine acoustic characteristics and speech patterns.
• Support the investigation of suspicious phone recordings.
• Help businesses assess potential voice-impersonation risks.
• Provide confidence information alongside the detection verdict.

Audio detection can be useful for screening suspicious recordings, but it cannot guarantee that a voice is genuine or fraudulent.

4. Confidence Scores and Detection Verdicts

The platform provides detection results intended to communicate the likelihood that media is synthetic.

Its results can include verdicts such as authentic, likely synthetic, or inconclusive, along with confidence information and supporting signals.

Capabilities/Benefits

• Interpret detection results more easily.
• Distinguish likely synthetic media from inconclusive cases.
• Examine signals that contributed to the result.
• Identify cases that may require additional investigation.
• Export results on plans that support reporting.

A confidence score is not the same as a guaranteed probability that a file is fake. Results should be interpreted alongside other evidence.

5. Browser Extension

Deepfake Detector offers a browser extension that allows users to initiate media scans from supported web pages.

Instead of manually downloading every suspicious image, video, or audio file, users can select supported media through the extension.

Capabilities/Benefits

• Scan online media through a browser workflow.
• Analyze supported images, videos, and audio.
• Reduce manual downloading and uploading.
• Access the same detection service used by the platform.
• Support faster preliminary verification of suspicious content.

The extension is advertised as free to install, with scan quotas determined by the user’s plan.

6. REST API

Deepfake Detector provides API access for developers and organizations that want to incorporate media detection into their own applications.

This makes it possible to connect the platform to existing investigation, moderation, verification, or fraud-prevention workflows.

Capabilities/Benefits

• Submit media for automated analysis.
• Receive machine-readable detection results.
• Integrate detection into existing business systems.
• Use API responses in internal dashboards and case-management workflows.
• Support automated media screening at scale.

API access is included with paid plans. Developers should consult the official documentation for current endpoints, authentication requirements, and supported request formats.

7. PDF and CSV Exports

Paid plans include export capabilities for documenting detection results.

Capabilities/Benefits

• Export findings for further analysis.
• Create records of investigated media.
• Share detection results with relevant team members.
• Support internal reporting processes.
• Maintain documentation for fraud or misinformation investigations.

8. Webhooks and Developer SDKs

The platform advertises webhook support for longer-running analyses and SDKs for several programming languages.

Capabilities/Benefits

• Receive notifications when supported analysis jobs finish.
• Reduce the need to repeatedly poll for results.
• Connect detection jobs to automated workflows.
• Use developer libraries for supported languages.
• Integrate results into custom applications.

Published SDK support includes Python, Node.js, Go, and Ruby. Confirm current implementation details in the official developer documentation.

9. Privacy-Focused Media Processing

Deepfake Detector states that submitted media is purged from primary storage within 60 seconds after analysis, subject to its published processing and retention policies.

The company also states that it retains a hashed identifier and verdict metadata for billing and auditing rather than the original media.

Capabilities/Benefits

• Limit the retention of uploaded media.
• Support verification workflows involving sensitive recordings.
• Reduce the period for which original media is stored.
• Provide a stated retention policy for users evaluating the service.

Organizations handling confidential or regulated data should read the current privacy policy and verify whether the platform meets their specific requirements.

10. Multiple AI-Generator Families

The platform advertises detection coverage across major synthetic-media systems, including image, video, and voice generators.

Capabilities/Benefits

• Analyze content produced by different AI-generation tools.
• Support broader synthetic-media screening.
• Identify potential generation artifacts across multiple media types.
• Help investigators examine suspicious content from different sources.
• Benefit from detector updates as the platform evolves.

Detection performance can vary by generator, model version, media quality, and manipulation technique.

Use Cases

1. Deepfake Scam Prevention

Analyze suspicious voice messages or recordings that appear to come from family members, colleagues, executives, or other trusted individuals.

2. Journalism and Fact-Checking

Help journalists and fact-checkers assess suspicious images, recordings, and videos before using them in reporting.

3. Financial Fraud Investigation

Screen suspicious recordings and media associated with potential executive impersonation, social engineering, or fraudulent payment requests.

4. Cybersecurity

Integrate media screening into security workflows where synthetic voices or manipulated videos may be used to impersonate employees or customers.

5. Content Moderation

Add synthetic-media detection to moderation workflows that need to identify potentially manipulated or AI-generated content.

6. Identity and Verification Workflows

Use detection as one supporting signal when investigating suspicious media submitted during identity or verification processes.

Detection alone should not be used as definitive proof of identity or fraud.

7. Academic Research

Examine synthetic-media detection results when studying deepfakes, AI-generated content, and digital-media authenticity.

8. Online Media Verification

Use the browser extension to investigate suspicious media encountered on websites.

9. Enterprise Risk Management

Help security and risk teams evaluate potentially manipulated content that could influence business decisions or facilitate impersonation attacks.

10. Developer Applications

Integrate media analysis into custom platforms through the API, allowing applications to request detection results as part of a broader workflow.

How Deepfake Detector Works

Deepfake Detector uses AI-based media analysis to identify signals associated with synthetic content and manipulation.

Typical Workflow

Step 1: Select the Media

Choose an image, video, or audio recording that needs to be checked.

Step 2: Upload or Submit the Media

Upload the file through the web application, use the browser extension for supported online media, or submit the media through the API if your plan includes access.

Step 3: Run the Analysis

The relevant detector analyzes the media for characteristics associated with AI generation or manipulation.

For video, this can include frame-level artifacts and potential lip-sync inconsistencies. For audio, the analysis focuses on signals associated with synthetic speech and voice cloning.

Step 4: Receive the Verdict

The platform returns a detection result and confidence information. Depending on the analysis, the result may indicate that media appears authentic, is likely synthetic, or remains inconclusive.

Step 5: Examine Supporting Signals

Review the information provided with the result to understand which signals contributed to the assessment.

Step 6: Investigate Further

For high-stakes cases, compare the result with independent evidence, the source of the media, contextual information, and verification through trusted channels.

Step 7: Export or Integrate the Results

Use supported export options or API integrations to document findings and incorporate them into existing workflows.

Integrations

Deepfake Detector supports several integration approaches for individuals, developers, and organizations.

Browser Extension

Scan supported media encountered while browsing the web.

REST API

Submit media for analysis and receive structured responses that can be incorporated into custom applications.

Webhooks

Receive notifications when supported analysis jobs are completed.

Developer SDKs

Use available SDKs for Python, Node.js, Go, and Ruby to simplify integration.

Security and Fraud Workflows

Connect detection results to internal security investigations, case-management tools, and media-verification processes through the API.

Content Moderation Pipelines

Use API-based detection as one component of a broader synthetic-media screening workflow.

Specific integrations with third-party platforms should be verified against the current official documentation.

Advantages

• Multimodal detection: Supports images, videos, and audio through one platform.
• Free entry-level plan: Includes 50 detections per month without a paid subscription.
• Browser-based scanning: Offers an extension for analyzing supported online media.
• API access: Enables developers to integrate detection into existing applications.
• Confidence information: Helps users interpret detection results rather than receiving only a binary label.
• Reporting capabilities: Paid plans include PDF and CSV export.
• Developer tooling: Advertises webhooks and SDKs for several programming languages.
• Multiple use cases: Supports journalism, fraud prevention, research, cybersecurity, and content moderation.
• Published retention policy: States that submitted media is purged from primary storage within 60 seconds of analysis.
• Scalable plans: Offers higher monthly detection allowances for teams and enterprise users.

Limitations

• Detection is not infallible: Authentic media may be flagged, and manipulated media may evade detection.
• Confidence scores need context: A high score should not be treated as conclusive proof that a file is fake.
• Media quality matters: Compression, background noise, editing, and low resolution can affect detection.
• Plan limits apply: Monthly detection quotas and file-duration limits vary by subscription.
• API access is not included in the free plan: Developers need a paid subscription for API functionality.
• No substitute for investigation: High-stakes decisions require independent evidence and verification.
• Generator coverage can change: Detection results may vary as synthetic-media technology evolves.
• Privacy requirements vary: Businesses should assess data-processing and retention policies before uploading sensitive media.
• Enterprise suitability requires validation: Organizations should verify technical performance, compliance requirements, and service terms before relying on the tool operationally.

Pricing

Deepfake Detector offers a free plan and three paid subscriptions. The following prices are based on the published pricing page and may change.

1. Free Plan

Price: $0/month

Designed for users who want to test synthetic-media detection.

Features include:

• 50 detections per month.
• Image, video, and audio detection.
• Up to 2 minutes of voice per detection.
• Up to 2 minutes of video per detection.
• AI or human verdict.
• TrustScore from 0 to 100.
• Access to the web application.

The free plan does not include REST API access.

2. Starter Plan

Price: $49/month
Annual billing: $468/year, equivalent to $39/month.

Designed for regular users who need a larger detection allowance and reporting capabilities.

Features include:

• 1,000 detections per month.
• Up to 10 minutes of voice per detection.
• Up to 10 minutes of video per detection.
• Detailed confidence scores.
• PDF and CSV export.
• REST API access.
• Email support.
• All Free plan features.

3. Business Plan

Price: $199/month
Annual billing: $1,908/year, equivalent to $159/month.

Designed for teams and organizations that need higher detection volumes.

Features include:

• 5,000 detections per month.
• Up to 10 minutes of voice per detection.
• Up to 10 minutes of video per detection.
• REST API access.
• Priority email support.
• All Starter plan features.

4. Enterprise Plan

Price: $599/month
Annual billing: $5,748/year, equivalent to $479/month.

Designed for larger organizations handling more media-verification requests.

Features include:

• 20,000 detections per month.
• Up to 10 minutes of voice per detection.
• Up to 10 minutes of video per detection.
• REST API access.
• Priority email support.
• All Business plan features.

Pricing Comparison

Additional pricing notes:

• The browser extension is advertised as free to install.
• Annual subscriptions are advertised with savings of up to 20%.
• Paid plans do not advertise surprise overage charges. When a quota is exceeded, additional detections are queued for the next billing cycle.
• Verified newsrooms, fact-checking organizations, and eligible nonprofits may qualify for a discount on the Starter plan.

Official pricing page: https://deepfakedetector.ai/pricing

Company Information

Frequently Asked Questions

1. What is Deepfake Detector?

Deepfake Detector is an AI-powered tool that analyzes images, videos, and audio recordings for signals associated with deepfakes and synthetic media. It provides detection verdicts and confidence information to help users investigate potentially manipulated content.

2. Can Deepfake Detector identify AI-generated images?

Yes. Its image detector is designed to identify signals associated with AI-generated images and manipulated faces, including content produced by major image-generation systems.

3. Can Deepfake Detector analyze videos?

Yes. The platform analyzes video frames for potential synthetic-generation artifacts and manipulation indicators. It also advertises lip-sync analysis and detection of suspicious frame-level patterns.

4. Does Deepfake Detector support voice-clone detection?

Yes. Its audio detector is designed to identify signals associated with AI-generated speech and cloned voices, including suspicious recordings that may be used in impersonation scams.

5. Is Deepfake Detector free?

Yes. The Free plan includes 50 detections per month, with support for image, video, and audio detection. Paid subscriptions provide higher limits and additional features.

6. How much does Deepfake Detector cost?

The published Starter plan costs $49 per month, Business costs $199 per month, and Enterprise costs $599 per month. Discounted annual billing reduces the effective monthly prices to $39, $159, and $479, respectively.

7. Does Deepfake Detector have an API?

Yes. REST API access is available on paid plans. Developers can use it to integrate media analysis into custom applications and business workflows.

8. Does Deepfake Detector have a browser extension?

Yes. The platform offers a browser extension that allows users to scan supported images, videos, and audio encountered online.

9. How accurate is Deepfake Detector?

The platform advertises detection across major synthetic-media generators, but no detector can guarantee perfect accuracy in every situation. Results can be affected by compression, editing, background noise, media quality, and the techniques used to generate or manipulate the content.

10. Does Deepfake Detector store uploaded files?

The company states that submitted media is purged from primary storage within 60 seconds after the analysis verdict is returned. It says that hashed identifiers and verdict metadata may be retained for billing and auditing. Users handling sensitive information should consult the current privacy policy.

11. Can Deepfake Detector prevent fraud?

It can help identify suspicious media that may be associated with impersonation scams, but it does not independently prevent fraud. Organizations should combine detection with identity verification, approval procedures, and other security controls.

12. Can Deepfake Detector verify whether a person is telling the truth?

No. The tool assesses media for signals associated with synthetic generation or manipulation. It does not establish whether a person’s statements are true or false, nor does it independently verify someone’s identity.