Deepfake detection content moderation API

Jul 6 – Oct 25, 2026Updated Oct 25, 2026Reviewed by

How we measure

Which brands AI mentions

#BrandMentioned in
#1Reality Defender81%
#2tiedSensity58%
#2tiedSightengine58%
#5tiedThe Hive23%
#2tiedHive AI, a product of The Hive46%

Mentioned in

ChatGPTChatGPTGoogle AI ModeGoogle AI Mode

Widest split: Sightengine, 17% on ChatGPT and 100% on Google AI Mode.

  • #1Reality DefenderChatGPT 88%Google AI Mode 75%
  • #2tiedSensityChatGPT 67%Google AI Mode 50%
  • #2tiedSightengineChatGPT 17%Google AI Mode 100%
  • #2tiedHive AIChatGPT 38%Google AI Mode 54%
  • #5tiedThe HiveChatGPT 21%Google AI Mode 25%

Questions and answers

  • Google AI ModeOct 25, 2026

    1. 1Hive Moderation
    2. 2Sightengine
    3. 3Reality Defender
    4. 4Sensity

    Several commercial content moderation and forensic APIs specialize in detecting AI-generated media, synthetic faces, and deepfake audio/video . Depending on whether you need a traditional high-throughput content moderation queue or enterprise-grade deepfake forensics, here are the leading options:

    • Hive Moderation (AI-Generated & Deepfake Detection API) : Offers scalable APIs that scan images, videos, audio, and music for synthetic content, voice cloning, and AI generation. It is built specifically for large-scale content moderation pipelines with automated classification and confidence scores.
    • Sightengine (Deepfake Detection API) : Provides a specialized API endpoint focused on identifying face-swapped or modified photographic images and videos by returning a granular 0-to-1 probability/confidence score.
    • Reality Defender : An enterprise-grade, multi-modal detection platform with a robust REST API. It handles video, audio, images, and text forensics, and is widely deployed by financial institutions, enterprises, and media organizations.
    • Sensity AI : Focuses heavily on visual deepfakes, manipulated faces, and synthetic portraits, combining fast API screening with threat intelligence to trace the origin or spread of manipulated media.

    Sources cited in this answer4

    ChatGPTOct 25, 2026

    1. 1Reality Defender
    2. 2Sensity
    3. 3Resemble AI
    4. 4OpenAI
    5. 5Hive Moderation

    If you're looking for a content moderation API that can detect deepfakes, I'd start with providers that offer dedicated AI-manipulation detection, rather than general-purpose content moderation alone.

    The key distinction is that detecting harmful content (nudity, violence, hate speech) is different from detecting synthetic or manipulated media (face swaps, cloned voices, AI-generated videos). Some APIs cover both, while others specialize in one.

    Best APIs to evaluate

    • Reality Defender Featured in Gartner’s Emerging Tech Report

    1. Reality Defender

    (Best starting point)

    A dedicated deepfake detection API for images, audio, and video. It offers developer SDKs and structured detection results, making it a strong fit for integrating authenticity checks into an upload or trust-and-safety pipeline. Its free tier advertises 50 scans per month.

    Best for: user-generated content, impersonation, and fraud prevention.

    API and pricing ·

    • Best ai detectors: Top picks for creators and educators, with best ai detectors

    2. Hive

    Hive provides AI-generated image and video detection, including a dedicated deepfake classification model. It returns classification labels and confidence scores, which can be used to flag content for moderation review.

    Best for: social platforms, image/video uploads, and AI-generated content moderation.

    API documentation ·

    • Sensity AI - AI-powered deepfake detection - Aitoolnet

    3. Sensity AI

    Sensity offers a single REST API for forensic analysis of images, videos, and audio. It combines face-manipulation detection, AI-generated-content detection, voice analysis, and file-level forensic checks in one assessment.

    Best for: deeper forensic analysis and multimodal authenticity screening.

    API documentation

    • Resemble AI Expands Deepfake Detection to Include Images, Videos and Facial Analysis with the Launch of Resemble Detect Multimodal

    4. Resemble AI

    Resemble's detection API accepts audio, images, and video through file uploads, public URLs, or secure upload tokens. It also supports watermark detection for supported requests.

    Best for: voice-cloning detection and applications that need both audio and visual analysis.

    Deepfake API documentation

    How they compare

    APIImagesVideoAudioPrimary strength
    Reality DefenderYesYesYesDedicated deepfake detection
    HiveYesYesCheck current endpoint coverageAI-generated and manipulated media
    SensityYesYesYesMultilayer forensic analysis
    Resemble AIYesYesYesDeepfake and voice-clone detection

    What I'd recommend for a moderation pipeline

    If you're building a platform that accepts user uploads, use two complementary checks:

    1. Deepfake detection: assess whether the media is manipulated or synthetically generated.
    2. Content moderation: assess whether it violates your platform's policies, such as sexual content, violence, harassment, or other prohibited material.

    For the second layer, OpenAI Moderation API can classify harmful text and images, but it is not a dedicated deepfake detector.

    One important caveat: no deepfake detector is perfectly reliable. Treat confidence scores as signals for automated decisions or human review, not definitive proof that a person or recording is authentic.

    Let me narrow it down

    Which type of content are you primarily trying to moderate?

    1. Media to detect

    Images and photos

    Videos and face swaps

    Audio and cloned voices

    All three

    2. Main use case

    User-generated content moderation

    Identity verification and fraud prevention

    Nonconsensual or abusive deepfake detection

    Enterprise security and investigations

    3. Budget preference

    Free or open-source

    Paid commercial API

    Compare both

    4. Integration preference

    REST API / SDK

    One API for deepfake detection and general moderation

    Self-hosted solution

    [Compare matching APIs]

    Sources cited in this answer14

  • ChatGPTOct 16, 2026

    1. 1Reality Defender
    2. 2RealAPI
    3. 3Sensity

    For a content moderation API that includes deepfake detection, I’d start with Hive or Reality Defender, depending on whether you want an all-in-one moderation platform or specialized detection of manipulated media.

    The key distinction is that detecting harmful content and detecting deepfakes are different tasks. Some APIs cover both, while others specialize in identifying AI-generated or manipulated images, video, and audio.

    My top recommendations

    • Hive Moderation Reviews 2026: Details, Pricing, & Features | G2

    1. Hive — best all-around moderation API

    (Best overall fit)

    Offers content moderation alongside dedicated deepfake and AI-generated media detection models. Its moderation API can return model classifications and confidence scores, and supports synchronous and asynchronous workflows.

    Best for: User-generated content platforms, social apps, marketplaces, and services that need to screen both harmful content and synthetic media.

    Deepfake API documentation ·

    • ElevenLabs Blog - Company, Research & Product Updates

    2. Reality Defender — best for multimodal deepfake detection

    Its RealAPI is purpose-built to detect manipulated or AI-generated images, audio, and video, with SDKs for common programming languages and direct HTTPS integration.

    Best for: Voice-cloning detection, video impersonation, identity verification, and high-risk media review.

    It is primarily a deepfake-detection solution, so you may want a separate moderation service for text toxicity, harassment, or other policy violations.

    RealAPI overview and access

    • Deepfake Detection for Video, Image & Audio - Sensity AI

    3. Sensity — best for forensic authenticity checks

    Provides a REST API that assesses images, video, and audio using multiple detection services, including face manipulation, AI-generated content, voice analysis, and file-level forensic analysis.

    Best for: Trust and safety teams, investigations, and workflows where explainable authenticity evidence matters.

    Sensity API documentation

    Quick comparison

    CapabilityHiveReality DefenderSensity
    Harmful image moderationYesPair with another API if neededVerify package
    Deepfake image detectionYesYesYes
    Deepfake video detectionYesYesYes
    Synthetic audio / voice cloningDedicated AI-audio modelsYesYes
    Forensic file analysisNot the primary focusDetection-focusedYes
    IntegrationREST APIREST API + SDKsREST API

    The feature descriptions are based on the providers' published documentation; confirm the exact plan and supported formats before committing.

    What I would choose

    • For a social platform or UGC app: Hive, because it combines conventional moderation with deepfake and AI-generated media classification.
    • For detecting fake faces, impersonation videos, or cloned voices: Reality Defender.
    • For investigations requiring additional media forensics: Sensity.

    One important implementation note: don't automatically ban users based on a single deepfake score. Test against your own real and synthetic media, calibrate thresholds, and route uncertain results to human review.

    A question to narrow it down

    What kind of content are you primarily moderating?

    1. What media do you need to check?

    Images and videos

    Audio and voice cloning

    Text, images, audio, and video

    2. What's the main goal?

    Both moderation and deepfake detection

    Deepfake detection only

    Detecting AI-generated content, even without impersonation

    3. Expected volume

    Under 10,000 items/month

    10,000–100,000 items/month

    Over 100,000 items/month

    [Find the best API for my use case]

    Sources cited in this answer11

    Google AI ModeOct 16, 2026

    1. 1Sightengine
    2. 2Reality Defender
    3. 3RealAPI
    4. 4Hive AI
    5. 5Sensity

    Several specialized content moderation and trust-and-safety APIs combine traditional content filtering (nudity, violence, toxicity) with advanced deepfake and synthetic media detection.

    Top Recommendations

    • Sightengine
      • Best For: High-volume user-generated content (UGC) platforms needing a unified API for traditional moderation (nudity, hate speech, violence) alongside dedicated face-swap and deepfake detection.
      • Capabilities: Detects face swaps, facial manipulation, lip-syncing anomalies, and fully AI-generated images or videos (from diffusion models and GANs). Returns straightforward probabilistic 0-to-1 confidence scores.
    • Reality Defender (RealAPI)
      • Best For: Enterprise-grade, multi-modal deepfake detection spanning images, audio, and video, recognized as a market leader in synthetic media defense.
      • Capabilities: Uses an ensemble of models to scan live interactions, file uploads, and social media links. It provides webhooks, deep forensic breakdowns, and SDK support across multiple programming languages.
    • The Hive AI-Generated Content Classification
      • Best For: Social networks, dating apps, and live-streaming services looking to flag fake profiles, bot-driven images, or real-time deepfaked avatars.
      • Capabilities: Passively evaluates images, videos, and audio frames at scale to output granular classifications indicating whether media is synthetic or AI-manipulated.
    • Sensity AI
      • Best For: KYC (Know Your Customer) onboarding flows, identity verification, and live video/streaming protection against real-time injection attacks.
      • Capabilities: Specializes in spotting corporate fraud, virtual camera emulators, and deepfake-driven identity theft during active video sessions or static image uploads.

    If you can share what type of media you are screening (images, live video streams, or audio) and your expected volume , I can help you evaluate pricing structure and integration complexity for these options.

    Sources cited in this answer7

Also asked as

  • I'm building an app and need an API to moderate content and flag deepfakes. Any suggestions?