Deepfake detection 2026 Rank: #697
Deepfake Detection by Modulate ✓
Detect deepfakes with 98.9% accuracy instantly.
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.
Best for
Short scenarios where Deepfake Detection by Modulate tends to shine.
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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
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
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- Limited extra features
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