Deepfake detection 2026 Rank: #697

Deepfake Detection by Modulate ✓

Detect deepfakes with 98.9% accuracy instantly.

Source rating 5.0 (4) 11k views 13 saves Paid
More categories (4)

Verdict

A quick read before you dig into the full page.

Best if
Detect deepfakes with 98.9% accuracy instantly
Skip if
Limited extra features
Pick this when
Detects with 98.9% accuracy

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Overview

Modulate's Deepfake Detection API is an innovative tool designed to detect and catch deepfakes with high precision, showcasing exceptional performance metrics on independent benchmarks, including the Hugging Face's Speech Deepfake Arena.

The tool stands out for its seamless integration capability, providing real-time inference to discern between genuine human speech and AI-generated audio with efficacy.

An essential feature of the Modulate's API is its economic affordability, offering large-scale deepfake detection service at a significantly reduced cost compared to its competitors.

Although primarily focused on deepfake detection, the API also offers additional models for STT Transcription, Emotion Detection, Accent Detection, PII Redaction, and Conversation Analytics.

It is optimized for better noise resilience and significantly reduces the number of false positives, thereby cutting down on wasted agent hours. Thanks to its simple REST API structure, integration can be completed in minutes rather than weeks, enabling real-time streaming and batch detection for user convenience.

Deepfake Detection by Modulate website

Best for

Short scenarios where Deepfake Detection by Modulate tends to shine.

  • Detect deepfakes with 98.9% accuracy instantly.

Example outputs 1

Sample generations and before/after results for Deepfake Detection by Modulate.

Access & connections

Where you can use Deepfake Detection by Modulate.

Platforms

Web

API

Public API available

Browse other tools with an API

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • API
  • Audio

Output

  • Audio
  • API

Highlights

  • API

Supported features

  • Cybersecurity
  • API
  • Transcription
  • Speech API

Pros & cons

Pros

  • Detects with 98.9% accuracy
  • Real-time deepfake detection
  • Works in various environments
  • Supports real-time streaming
  • Supports batch analysis
  • Distinguishes legit synthetic voices
  • Reduced false positive rate
  • Affordable detection service
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  • High on independent benchmarks
  • Integration done in minutes
  • Can perform STT transcription
  • Emotion detection available
  • Accent detection available
  • PII Redaction feature included
  • Conversation analytics provided
  • Great noise resilience
  • Prevention of deepfakes
  • High rate of cost efficiency
  • Supports Hugging Face
  • Fewer wasted agent hours
  • Amplified performance on Hugging Face's benchmarks
  • Extensive coverage across call library
  • Top ranked on Hugging Face
  • 1.1% equal error rate
  • Cost-effective - $0.25/hr
  • Detection in under 2.5s
  • Reduced false positives by 57%
  • Supports large-scale deepfake detection
  • 83% less deepfakes missed per calls
  • Significantly fewer false positives per calls
  • Optimized for noise resilience
  • Multiple Additional Models available
  • Ability to flag fewer false positives
  • Fast onboarding time
  • Low model parameters required
  • Clean documentation provided
  • Module has lower parameters
  • Significantly cheaper than competitors
  • API framework for easy integration
  • Efficient detection in under 2.5 seconds
  • Voice intelligence capability
  • Targeted for various industries
  • Top on deepfake detection leaderboard
  • Significant deepfakes catch rate
  • Additional features beyond deepfake detection
  • Reduced audio required for result

Cons

  • Lacks SDK support
  • Requires integration
  • Cost per hour usage
  • May overlook legitimate synthetics
  • Not optimized for noisy recordings
  • Dependent on audio quality
  • No offline mode
  • No free version
Show 1 more
  • Limited extra features

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Releases 1

Initial release May 7, 2026 Current
Initial release of Deepfake Detection by Modulate.

FAQ 12

What is Modulate's Deepfake Detection API?
Modulate's Deepfake Detection API is a tool designed to accurately identify and apprehend deepfakes. It surpasses other similar models, illustrating exceptional performance metrics on various independent benchmarks. The API excels in seamlessly integrating with other systems and providing immediate discernment between genuine human speech and AI-generated audio. The tool further stands out for its cost-effectiveness, enabling large-scale deepfake detection services at a substantially reduced cost relative to other market competitors.
How does Deepfake Detection by Modulate work?
Deepfake Detection by Modulate works by combining a variety of techniques such as audio forensics, emotion modeling, linguistic profiling, and conversational dynamics. It uses these methods to detect any unnatural exchanges within audio communications and distinguish between genuine and synthetic voices. The tool employs Velma, Modulate's AI model, to conduct these analyses.
What industries can benefit from using Modulate?
Industries that heavily rely on voice communication can significantly benefit from using Modulate. This includes sectors such as banking, finance, healthcare, retail, e-commerce, insurance, higher education, and enterprise contact centers.
What are the key features of Velma, Modulate's AI model?
Velma, Modulate's AI model, employs a combination of audio forensics, emotion modeling, linguistic profiling, and conversational dynamics to detect fraudulent or unnatural communication within audio interactions. Velma is designed to analyze audio in real-time efficiently and effectively, providing quick detection of voice deepfakes. It can operate in different environments and supports both real-time streaming and batch analysis of recorded files, offering extensive coverage across call records.
Can Modulate detect deepfakes in real-time?
Yes, Modulate can detect deepfakes in real-time. Its AI model Velma is designed to analyze audio in real-time, ensuring quick and efficient detection of voice deepfakes.
Can Modulate analyze both real-time streaming and recorded audio files?
Yes, Modulate can analyze both real-time streaming and recorded audio files. The tool is suitable for both real-time systems and batch pipelines, providing comprehensive coverage across your call library.
How does Modulate's tool prevent false positive detections?
Modulate's tool uses a specific mechanism to prevent false positive detections. It is capable of distinguishing between legitimate synthetic voice users such as those relying on assistive voice technology and potential fraudulent users. This distinction helps to drastically reduce instances of false positive detections.
What sort of accuracy does Modulate's tool have?
Modulate's tool has a significant accuracy level. The deepfake detection tool can identify deepfakes with 98.9% accuracy instantly.
Is the Modulate tool capable of functioning in different environments?
Yes, the Modulate tool is capable of functioning in different environments. Whether it be real-time systems like contact centers, authentication flows, moderation pipelines, or batch pipelines, Modulate can function effectively.
How does Modulate distinguish between legitimate synthetic voice users and fraudulent ones?
Modulate distinguishes between legitimate synthetic voice users and fraudulent ones through its advanced AI model, Velma. This model has a mechanism to differentiate between genuine users of assistive voice technology and potentially counterfeit ones, aiding in preventing false positive detections.
How cost efficient is Modulate?
Modulate is highly cost efficient. At just $0.25 per hour of deepfake detection, it dramatically undercuts competitors, some of which charge between $30 and $120 per hour.
Does Modulate provide APIs for STT Transcription, Emotion Detection, and other models?
Yes, Modulate does provide APIs for STT Transcription, Emotion Detection, Accent Detection, PII Redaction, and Conversation Analytics. These additional models are part of the expansive suite of services that Modulate offers, contributing to its versatile functionality and robust utility.
Deepfake Detection by Modulate from $0.25