Deepfake Detection by Modulate

    Deepfake Detection by Modulate

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    Category:Artificial Intelligence
    Pricing:Paid
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    May 6, 2026
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    Deepfake Detection by Modulate

    Detect voice deepfakes and synthetic fraud in real-time. Protect calls and customers with high-precision, low-latency, and cost-effective audio analysis.

    General Information about Deepfake Detection by Modulate

    Deepfake Detection by Modulate is an advanced security solution designed to identify and block fraud through real-time voice cloning. Powered by the Velma AI model, this tool is positioned as the most accurate system on the market, leading the Hugging Face rankings in its category. Its primary function is to protect corporate and organizational voice communication channels from vishing attacks and identity theft carried out using synthetic voices.

    The operation of Deepfake Detection by Modulate is based on a four-layer technological approach that exhaustively analyzes audio to guarantee authenticity:

    • Audio Forensics: Identifies micro-artifacts in the sound wave and anomalies in audio quality that reveal artificial generation.
    • Emotion Modeling: Detects flat or unnatural emotional expressions typical of current AI models.
    • Linguistic Profiling: Analyzes rhythm, diction, and language structure to find machine-generated dialogue patterns.
    • Conversational Dynamics: Evaluates interaction flow and response times to detect robotic or unusual behavior.

    This tool can analyze audio in just 2.1 seconds, making it ideal for implementation in live calls via mobile devices or business telephony systems from a computer. With a 98.9% accuracy rate, the software captures a significantly higher volume of deepfakes while drastically reducing false positives. Furthermore, its technology can distinguish between a malicious attacker and a legitimate user utilizing voice assistive technologies, ensuring accessibility without compromising security.

    The sectors that benefit most from this technology include banking and finance, where it prevents fraudulent transfers and secures authentication in IVR systems. It is also essential in contact centers to prevent social engineering, as well as in industries such as insurance and healthcare, protecting policy verification and patient identity.

    For developers, Deepfake Detection by Modulate offers a low-latency API with support for REST and streaming, facilitating seamless integration into existing infrastructures. The system is ISO 27001 certified, ensuring a professional standard in information security management. By focusing specifically on audio analysis, this tool provides a scalable and highly efficient solution to combat synthetic voice fraud.

    Features and Use Cases of Deepfake Detection by Modulate

    The Velma model ranks first on the Hugging Face leaderboard with 98.9% accuracy.
    It identifies synthetic voice fraud in real time with just 2.1 seconds of processing time.
    It offers a cost of $0.25 per hour, making it 120 times more cost-effective than other providers.
    It utilizes four detection layers, including audio forensics and emotion modeling.
    It analyzes linguistic profiles and conversational dynamics to detect robotic or artificial speech patterns.
    It protects the banking sector against vishing attacks and wire transfer impersonation fraud.
    It detects patient impersonation in healthcare and return fraud in e-commerce.
    It enables easy integration via REST and streaming APIs for both batch and live analysis.
    It is ISO 27001 certified and currently protects more than 100 million users.
    It distinguishes between fraudulent synthetic voices and legitimate assistive technologies to prevent false positives.

    How Deepfake Detection by Modulate Works

    1Visit the official website to register and request access to the Velma API.
    2Review the developer documentation available to integrate the tool into your existing infrastructure.
    3Use the REST or real-time streaming APIs to connect the software to your call systems or databases.
    4Select batch analysis mode if you want to process pre-recorded audio files from your library.
    5Set up live audio streaming if you need to protect calls and conversations as they happen.
    6Provide an audio sample of at least two and a half seconds for the model to perform the analysis.
    7Wait approximately two seconds to receive detection signals and results regarding voice authenticity.
    8Review the data obtained through the four detection layers that analyze audio forensics and emotion modeling.
    9Examine the linguistic profiling and conversational dynamics results to identify fraud patterns or synthetic voices.
    10Integrate the generated decision signals into your authentication workflows, contact centers, or customer support channels.
    11Request a live demo through the Modulate portal to see the system in operation in real time.

    Frequently Asked Questions about Deepfake Detection by Modulate

    What exactly is Deepfake Detection by Modulate?

    It is advanced software designed to identify synthetic voice fraud in real time using the Velma AI model.

    How long does it take Modulate to detect a voice deepfake?

    The system can analyze audio and identify synthetic voices in just 2.1 seconds, allowing for an immediate response during communication.

    Is Velma compatible with live calls and recordings?

    Yes, the tool supports both the analysis of recorded audio files and real-time monitoring of ongoing calls.

    How much does the Deepfake Detection by Modulate service cost?

    Pricing starts at $0.25 per hour of use, representing a 99 percent savings compared to other providers on the market.

    Does Modulate's technology detect deepfakes in video files?

    No, Velma specializes exclusively in audio analysis to provide maximum accuracy and efficiency for voice and telephony channels.

    What level of accuracy does Velma offer compared to other tools?

    Modulate holds the top spot on the Hugging Face leaderboard with 98.9 percent accuracy, significantly outperforming all current competitors.

    How does Modulate distinguish between fraud and the use of assistive voice technologies?

    The system analyzes layers of conversational dynamics and linguistic profiles to identify intent and suspicious behavioral patterns versus legitimate use.

    Does Deepfake Detection by Modulate have official security certifications?

    Yes, the platform is ISO 27001 certified to ensure maximum data protection and privacy in enterprise environments.

    Is it difficult to integrate Modulate's system into an existing infrastructure?

    No, the tool offers direct API access and detailed developer documentation, making integration into any system quick and easy.

    Deepfake Detection by Modulate Pricing

    Modulate Deepfake-Detect

    Price: Starting at $0.25 per hour of processed audio.

    Real-time voice deepfake detection (2.1-second analysis).

    Direct API access (REST and streaming) and developer documentation.

    Four-layer detection system: audio forensics, emotion modeling, linguistic profiling, and conversational dynamics.

    Support for live call analysis and recorded audio files (batch).

    ISO 27001 Certification.

    High-precision identification of vishing fraud and voice cloning (98.9% according to Hugging Face).

    Ability to distinguish between fraudulent synthetic voices and legitimate assistive technologies.

    Restrictions: Usage-based pricing (pay per hour of analyzed audio).


    For custom or high-volume enterprise plans (Enterprise Contact Centers), we recommend visiting the official website or requesting a live demo.

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