I need a Deepfake detector that provides a probability score and does not give binary yes/no answers.

Here are the top tools and APIs that provide a continuous probability or confidence score (e.g., 0% to 1 0 0% or a 0.0 0.0 0.0 to 1.0 1.0 1.0 scale) rather than a rigid binary verdict:

• Eden AI Deepfake Detection API : An AI aggregator platform that standardizes multiple deepfake engines into a single API, returning explicit confidence scores and percentages for image and video analysis.
• Arya.ai Deepfake Detection API : Provides developer-friendly REST APIs designed for compliance and verification workflows that return granular deepfake probability scores within seconds across video, images, and audio.
• Deepfake Detector API : Offers structured JSON responses containing precise AI confidence scores alongside flagged segments for voice, image, and video content.
• Modulate Voice Deepfake API : Best if your focus is specifically on audio streams and voice cloning, providing continuous evaluation metrics and metrics optimized for noise resilience.
• Open-Source Frameworks (e.g., FaceForensics++ ): For teams with engineering resources, running custom model inference via PyTorch or TensorFlow lets you extract raw logit outputs or softmax probability distributions directly.

To help narrow down the best fit, could you tell me:

• What media format are you analyzing (video, audio, or images)?
• Are you looking for a web interface to upload files or a developer API to integrate into an application?

Yes. If your key requirement is a continuous probability/confidence score rather than a forced yes/no result, I’d look at these:

• detecto.co — Probably the closest match. It explicitly returns a calibrated probability plus a confidence/uncertainty band, rather than treating the result as a binary fact. It supports video, image, and audio.
• scam.ai — Returns a 0–100% probabilistic score and lets you set your own thresholds. Particularly suited to an API/automated workflow where, for example, 0–55% could pass, 55–80% could go to human review, etc.
• tuteliq.ai — Detection for images, video, and voice, with a confidence score on every result. It specifically says detection is probabilistic and allows thresholding rather than imposing a binary decision.
• deepfakedetector.ai — Provides a TrustScore/confidence score alongside its result and supports images, video, and voice.
• diopter.ai — Gives a detection score, confidence level, and information about suspicious regions in images/video/audio.

My recommendation

If you specifically mean “I want something like P(deepfake) = 0.73, not DEEPFAKE = YES”, I'd start with Detecto or ScamAI.

One important caveat: a detector's “85% confidence” isn't necessarily a statistically calibrated 85% probability that the media is fake. Recent forensic research specifically warns that many deepfake detectors' confidence scores aren't reliable probabilities unless they have been properly calibrated.

If you tell me whether you need image, video, audio, or all three, and whether you want a free website or an API, I can narrow this down to the best 2–3 options.

Most modern professional-grade and API-driven deepfake detectors output a continuous confidence score or probability percentage (e.g., a 0.0 0.0 0.0 to 1.0 1.0 1.0 float or 0% to 1 0 0% likelihood) rather than a blunt yes/no.

Top options that provide granular probability scoring for media files include:

• Hive AI : Highly utilized for enterprise media moderation. When you pass an image or video through their Hive AI Image and Video Detection API , it evaluates individual faces and returns explicit confidence scores per face/frame rather than a hard binary gate.
• Reality Defender : Built for enterprise fraud detection, cybersecurity, and compliance teams. It aggregates multi-model outputs, contextual analysis, and metadata into detailed risk scores and granular probabilities.
• Sightengine : Offers robust media moderation APIs (often accessed directly or aggregated via platforms like Eden AI ) that return continuous numerical values indicating the likelihood that an image or video is AI-generated or manipulated.
• DeepfakeDetector.ai : Provides a web interface and developer API that returns structured JSON payloads including clear confidence metrics and flagged temporal segments for audio, video, and images.

Are you looking for a web-based tool to manually test files, or do you need a developer API to integrate continuous scoring into an application?

Yes. If your requirement is specifically a probabilistic score rather than a simple yes/no deepfake verdict, I’d shortlist these:

• Reality Defender — probably the strongest match. It reports a 1–99% probability rating and supports image, video, and audio detection. Its newer results also provide an overall score plus explanations/signals behind the result.
• Hive — its Deepfake Detection API provides a 0–1 confidence score for detected faces, including video. However, the API also returns a categorical classification (yes_deepfake / no_deepfake), so it isn't as clean a fit if you want only a continuous probability.
• Deepware — particularly useful for video. Its scanner explicitly reports results such as “NO DEEPFAKE DETECTED (50%)” and describes its outputs as chances rather than absolute determinations.
• Sensity — provides confidence scores and forensic explanations for image/video/audio, but its overall verdict is still binary (suspicious or valid), so I'd put it below Reality Defender for your requirement.

My recommendation

If what you want is something like:

Deepfake probability: 73% Confidence: 89% Evidence: facial blending + temporal artifacts rather than:

DEEPFAKE: YES then Reality Defender is the first one I'd evaluate. Its documentation explicitly describes a calibrated numerical score and explains that the score represents the combined evidence from multiple detection models.

One important caveat: “73% probability” should not automatically be interpreted as “there is a 73% chance this file is objectively fake.” Detector scores are model outputs and need calibration against your particular media/use case.

If you tell me whether you need (1) a free website, (2) an API, (3) a tool for video specifically, or (4) something you can run locally, I can narrow this to the best 2–3 options.

Yes. If your key requirement is a probability/confidence score rather than a forced yes/no result, these are the strongest options I found:

1. Reality Defender — best overall fit

   • Returns a 1–99% probability rating rather than just a binary answer.
   • Its results include an Overall Results Score indicating how likely the content is manipulated/generated, plus supporting signals and explanations.
   • Supports image, video, and audio.
   • Has an API if you're building this into a workflow.
   • Caveat: it's primarily aimed at enterprises/governments rather than casual consumers.

2. Deepware

   • Specifically focused on AI-generated face manipulation in video.
   • Its scanner reports results such as “NO DEEPFAKE DETECTED (50%)”, meaning it does expose a percentage rather than simply saying yes/no.
   • Available as a web scanner, API, and SDK.

3. Hive

   • Provides a 0–1 confidence score for deepfake detections; it can also provide scores frame-by-frame for video.
   • Supports images and video for deepfakes, and also has separate AI-generated-audio detection.
   • However, its underlying deepfake model also supplies a yes_deepfake/no_deepfake classification, so it's slightly less aligned with your requirement if you specifically don't want a binary label at all.

My recommendation

If you're looking for something that effectively says:

“There is a 73% likelihood this media is manipulated”

rather than:

“DEEPFAKE: YES”

I'd start with Reality Defender. Its 1–99% probability scale is explicitly part of its product, and it supplements the score with explanatory indicators.

If you tell me whether you're detecting photos, videos, audio, or all three, and whether you need a free web tool or an API, I can narrow this down to the best 2–3 choices.

Several advanced deepfake detection platforms provide continuous probability scores, confidence metrics, or multi-signal breakdowns instead of a simplistic "yes/no" label.

• Reality Defender Multi-modal enterprise platform that uses an ensemble of models to output granular confidence and probability scoring across video, audio, and images.
• Sensity AI Provides detailed forensic reporting, featuring deepfake probability scores, visual indicators, and frame-by-frame structural analysis rather than binary conclusions.
• Hive Moderation Offers an API-first approach returning distinct confidence percentage scores for various generation and face-swap methods.
• Resemble Detect Specializes in audio deepfake detection, giving slice-level scoring and acoustic visualization to pinpoint exact areas of synthetic manipulation.
• DuckDuckGoose AI Delivers continuous probability and explainable results tailored for identity verification and forensic review.

If you can share what media format you plan to analyze (video, audio, or images) and whether you need a web interface or a developer API , I can help you pick the best fit.

If you want to avoid blunt, binary true/false classifications and instead work with continuous probability scores (ranging from 0.0 0.0 0.0 to 1.0 1.0 1.0 or percentage likelihoods), several professional tools and APIs fit your requirements.

• Hive AI-Generated & Deepfake Content Detection scans images, videos, and audio clips, returning explicit confidence scores and bounding boxes for detected faces rather than a flat yes/no answer.
• Reality Defender RealAPI provides multi-modal forensic analysis for enterprise use, outputting granular manipulation probability scores along with an array of explainable indicators.
• Modulate Velma Deepfake Detect specializes in audio and voice-cloning detection, outputting segment-based probability scores over specific timelines rather than a single absolute verdict.
• Deepware Scanner evaluates video files for facial manipulation and returns continuous percentages (e.g., scoring a face manipulation likelihood rather than an outright label).

If you'd like to narrow this down, let me know:

• What media format are you analyzing mostly (images, video, or audio)?
• Do you need a consumer-facing web tool or a developer API/SDK for integration?

Yes. If your requirement is a graded probability/confidence score rather than only “deepfake / not deepfake,” there are several good options.

Best fits

1. Reality Defender — best match

   • Reports a 1–99% probability rating rather than simply yes/no.
   • Handles images, video, and audio.
   • Its API also exposes an overall 0–1 confidence score plus scores from individual models.
   • More oriented toward professional/enterprise use than casual consumers.

2. Hive AI — excellent if you want a numerical score/API

   • Its Deepfake Detection API assigns each detected face a 0–1 confidence score.
   • For video, it analyzes frames and can return frame-level results.
   • Importantly, Hive recommends thresholds rather than treating the raw score as an absolute truth—for example, it recommends 0.5 on two consecutive frames or 5% of frames for deepfake video.
   • Hive also currently offers a browser extension with detection results and confidence scores.

3. Sensity AI — strong forensic option

   • Supports image/video/audio deepfake analysis and API access.
   • Its face-manipulation model exposes a class_probability from 0–1.
   • One caveat: Sensity's documentation says probability scores can be omitted when the input is predicted to be real, so it doesn't fit your requirement as cleanly as Reality Defender or Hive.

My recommendation

If what you specifically want is something like:

“This video has a 73% probability of being a deepfake”

I'd start with Reality Defender. Its stated 1–99% probability scale is almost exactly what you're asking for.

If you need an API that gives you the underlying numerical score so you can build your own interface/thresholds, I'd also strongly consider Hive. Its raw 0–1 score gives you more flexibility than forcing the detector's own yes/no threshold.

One important caveat: a detector's “73%” should not automatically be interpreted as a calibrated 73% chance that the media is actually fake. These are model confidence scores, and performance can vary substantially with compression, editing, generation method, video quality, and the type of manipulation.

If you tell me whether you need (a) a website where you can upload a video, (b) an API, or (c) a free tool, I can narrow this down to the best 2–3 choices.

Yes. If your key requirement is a continuous probability/confidence score rather than a hard “deepfake / not deepfake” verdict, these are the strongest options I found:

1. Reality Defender — my first choice

Reality Defender explicitly says its inference system produces a 1–99% probability rating, rather than requiring a binary answer. It supports images, video, audio, and text, and its SDK/API can return overall and model-specific scores.

For example, you can conceptually get a result like:

Deepfake probability: 73%

rather than simply:

❌ Deepfake

One important distinction: the percentage is a model probability/confidence signal, not a mathematically calibrated statement that there is literally a 73% chance the media is fake. Reality Defender itself emphasizes that detection results need contextual interpretation.

2. Hive AI

Hive's Deepfake Detection API returns confidence scores from 0.0 to 1.0, with higher values indicating greater confidence in the classification. Its current public demo also describes its image/video/audio detector as providing probability scores.

So you could convert a score such as 0.87 to 87% for your interface.

3. Deepware

Deepware is particularly oriented toward AI-generated facial manipulation in video. It explicitly describes its results as the chance that a particular video is a deepfake, and its FAQ gives examples such as “NO DEEPFAKE DETECTED (50%)”. It offers a web platform, API, and SDK.

What I'd choose

If you're building something where the UI needs to say:

Authenticity score: 27% fake
Confidence: Moderate

rather than forcing users into yes/no, I'd start with Reality Defender.

If you tell me whether you're detecting images, videos, audio, or all three, I can narrow this down to the best 3–5 detectors that actually expose a numerical probability through an API, including pricing/free tiers and whether you can use them commercially.

If you need probabilistic, continuous scoring rather than a crude "real vs. fake" toggle, several modern deepfake detection platforms and APIs output granular confidence metrics, risk scores, or percentage likelihoods.

Top options that provide probability scores or confidence distributions include:

• Reality Defender is an enterprise-grade multimodal detection platform (handling video, audio, images, and documents) that leverages an ensemble of AI models to output granular confidence scores and forensic breakdowns rather than flat binary decisions.
• Hive Moderation provides API-first content moderation with specific models for face-swaps and synthetic media generation, returning continuous probability values indicating the likelihood that an image or video segment is AI-generated.
• Sensity AI specializes in visual threat intelligence, offering multi-layered analysis across video, images, and audio that supplies detailed visual heatmaps alongside percentage-based authenticity metrics.
• DuckDuckGoose AI focuses on explainable AI forensics for identity verification and media authentication, providing continuous risk scores and transparent metrics instead of strict black-and-white verdicts.

If you want to narrow this down, let me know:

• What type of media are you planning to analyze (images, audio, or video)?
• Do you need an API for developer integration , or a web application/dashboard for manual uploads?