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Freemium
★ 10 • Updated Aug 16, 2026, 11:16 PM

Modulate Deepfake Detection API is a cloud-based service that identifies AI-generated or manipulated speech in audio streams.

Use Cases ▼
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Real-time detection of deepfake audio in call centers to prevent voice phishing and fraud

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Verifying the authenticity of voice recordings for media and journalism

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Enhancing fraud detection systems in financial institutions and insurance companies

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Content moderation for user-generated audio on social platforms

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Integrating deepfake detection into voice assistants and customer service bots

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Screening voice messages for identity theft and impersonation attempts

What Problem It Solves ▼

Modulate Deepfake Detection API helps organizations combat fraud, impersonation, and misinformation by automatically distinguishing genuine human speech from AI-generated or cloned audio. It reduces the risk of voice-based scams, social engineering, and media manipulation, providing a high-accuracy, low-cost, real-time solution for verifying audio authenticity at scale.

Key Features ▼
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High accuracy: 98.9% detection rate and 1.1% EER

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Very low cost at $0.25 per hour of audio analyzed

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Fast inference: results in under 2.5 seconds

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Ranks #1 on Hugging Face Speech Deepfake Arena leaderboard

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Includes additional models for transcription, emotion, accent, PII redaction, and analytics

Overview

Modulate Deepfake Detection API is a cloud-based service that identifies AI-generated or manipulated speech in audio streams. It ranks #1 on the Hugging Face Speech Deepfake Arena leaderboard with a 1.1% Equal Error Rate (EER), achieving 98.9% accuracy across 14 datasets. The API processes audio in under 2.5 seconds and requires only 2.5 seconds of audio to make a determination, making it suitable for real-time applications. It is priced at $0.25 per hour of audio analyzed, which the vendor claims is over 100x cheaper than competitors. The model uses 316 million parameters, significantly fewer than some rival models, while maintaining higher accuracy. In addition to deepfake detection, the platform offers complementary models for speech-to-text transcription, emotion detection, accent detection, PII redaction, and conversation analytics. The service is available immediately with 40 free hours of usage and no sales conversation required.

Pros & Cons

Pros

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High accuracy: 98.9% detection rate and 1.1% EER

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Very low cost at $0.25 per hour of audio analyzed

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Fast inference: results in under 2.5 seconds

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Ranks #1 on Hugging Face Speech Deepfake Arena leaderboard

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Includes additional models for transcription, emotion, accent, PII redaction, and analytics

Cons

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Only detects audio deepfakes, not video or image manipulations

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Cloud API only; no self-hosted deployment documented

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Freemium tier limited to 40 free hours

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No public repository or model weights available for independent audit

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