Detect deepfakes with 98.9% accuracy instantly.

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May 7, 2026

2026 Rank: #675

Deepfake Detection by Modulate

United States Modulate Deepfake detection

8,805

5.0(3)

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8,805

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Detect deepfakes with 98.9% accuracy instantly.

API Deepfake Detection Voice Deepfake Detection Real-time Analysis Speech Recognition Synthetic Voice Fraudfrom $0.25

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7,955 www.modulate.ai

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.

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Deepfake Detection by ModulateInitial

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Initial release

May 7, 2026

Initial release of Deepfake Detection by Modulate.

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Modulate AI

@kirsten-a

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Modulate

🇺🇸 United States

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Joined: February 2026

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Deepfake detection Deepfake Detection by Modulate

United States Modulate Deepfake detection

8,805

5.0(3)

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Building AI that understands real conversations better than LLMs.

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Pros and 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

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

View 41 more pros

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

Limited extra features

View 4 more cons

Included in collections

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Christopher Anderson

Q&A

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.

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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.

Can Modulate's tool integrate with other systems?

Yes, Modulate's tool can seamlessly integrate with other systems. Thanks to its simple REST API structure, integration can be achieved quickly and conveniently.

What is the Noise Resilience feature of Modulate?

Modulate's Noise Resilience feature refers to its enhanced ability to reduce the number of false positives owning to noise, thereby cutting down on wasted agent hours. It is optimized for better noise resilience and substantially reduces false positives, thereby improving efficiency.

How well does Modulate perform in the Hugging Face's Speech Deepfake Arena?

Modulate performs exceptionally well in Hugging Face's Speech Deepfake Arena. It has been ranked number one on the leaderboard, showcasing its prowess in detecting and apprehending deepfakes.

What additional features does Modulate's Deepfake Detection API offer?

Modulate's Deepfake Detection API offers several additional features including STT Transcription, Emotion Detection, Accent Detection, PII Redaction, and Conversation Analytics. These features, in addition to deepfake detection, add to the overall versatility and utility of the API.

How much does it cost to use Modulate's service?

Modulate's service is priced at $0.25 per hour of deepfake detection, making it 120 times cheaper than its nearest competitor.

How long does it take to integrate Modulate's API?

Thanks to Modulate's simple REST API structure, integration can often be completed within minutes, rather than weeks. This rapid setup allows real-time streaming and batch detection, adding to user convenience.

What are Modulate's performance metrics on independent benchmarks?

On independent benchmarks, Modulate's Deepfake Detection API demonstrates remarkable performance metrics. For instance, it is ranked number one in the Hugging Face's Speech Deepfake Arena, underscoring its superior abilities in detecting deepfakes with exceptional precision.

What is the difference between Modulate's Deepfake Detection and its competitors?

The major difference between Modulate's Deepfake Detection and its competitors is its superior accuracy, economic affordability, and speed. Modulate boasts an accuracy rate of 98.9%, performs deepfake detection at the price of $0.25 per hour, and provides detection results in under 2.5 seconds. In addition, Modulate misses fewer deepfakes per thousand synthetic voice calls, flags fewer false positives per thousand real voice calls, and offers a variety of additional models compared to its competitors.

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Deepfake Detection by Modulate

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