Velma Deepfake Detect by Modulate
#1 Deepfake Detection
Model at 120x lower cost.
Don’t be fooled by fake audio or voice clones - use Velma Deepfake Detect by Modulate - the top deepfake detection model in both accuracy and cost-effectiveness.
Velma Deepfake Detect is a fraud prevention solution available as both a batch and real-time streaming API
#1 Top Deepfake Detection on Hugging Face
Save over 99% on Deepfake detection costs
Hugging Face’s Deepfake
Speech Leaderboard
Modulate is the top ranked deepfake detection model on Hugging Face's Speech Arena Leaderboard, the leading independent benchmark.
EER is the foundation performance metric used to evaluate how accurately a model can distinguish between genuine human speech and AI-generated audio.
Modulate’s Velma Deepfake
Detect Catches 99% of all Deepfakes
A Side-by-Side Comparison for Teams
Evaluating Deepfake Detection APIs
The deepfake threat is real.
Deepfakes have crossed from novelty to weapon — and the numbers prove it. As AI-generated audio, video, and images become indistinguishable from the real thing, every business that relies on identity, trust, or digital communication is a target.
Velma Transcribe is best for:
The volume is exploding. Deepfake content is projected to reach 8 million files shared online in 2025 — up from 500,000 in 2023 — growing at roughly 900% annually. DeepStrike (Source: Deepstrike)
The financial damage is severe. Deepfake scams cost businesses nearly $500,000 on average per incident in 2024, with large enterprises losing as much as $680,000 in a single attack. Views4You (Source: Views4You)
Fraud attempts are surging. In the first quarter of 2025 alone, deepfake-enabled voice phishing attacks surged over 1,600% compared to Q4 2024. Keepnet Labs (Source: Keepnet Labs)
Human detection has essentially failed. Unaided humans correctly identify high-quality deepfake videos only 24.5% of the time SQ Magazine — barely better than a coin flip. (Source: SQ Magazine)
Most companies are unprepared. Eighty percent of companies have no protocols to handle deepfake attacks, and more than half admit their employees have received no training on recognizing them. Security.org (Source: Security.org)
Live monitoring, not gate checks.
Most deepfake detection solutions are designed to check a call once early on…and that’s it.
Sophisticated fraudsters know that once they're past that check, they're home free. So they open calls with a real voice — their own, a colleague's, a quick recording — and switch to the AI clone once they're past the gate. The system flags nothing. The fraud proceeds.
Continuously monitoring the whole call is the obvious solution. It used to simply cost too much.
It doesn’t anymore.
With Velma, monitor the whole call. Not just the opening 10 seconds. Not spot checks. Every segment, every speaker, every transition — continuously, in the background, adding zero friction to the call. Every two seconds, get a new score, immediately highlighting when a synthetic voice appears.
The fraudster who opens with a real voice and switches mid-call? Found in an instant.
The multi-party call where a synthetic voice joins late? No problem.
The attack that every expensive solution misses by design becomes the attack you catch by default.
Built for developers shipping production systems
Velma Deepfake Detect is designed to integrate cleanly into modern infrastructure.
REST endpoitrnts for batch transcription
Streaming endpoints for real-time transcription
Predictable structured output for downstream pipelines
Built for scalable high-throughput workloads
Velma API is designed to work well with analytics stacks, search systems, and LLM-based workflows.
Velma Deepfake Detect sets a new standard for synthetic voice detection
Deepfake detection shouldn't cost more than the fraud it’s meant to prevent. Velma Deepfake Detect delivers top-leaderboard accuracy at a fraction of the compute and cost of alternatives. And detection is just the start: the same service that flags a synthetic voice can also return a transcript, flag PII, identify emotional state, and much more. See it for yourself.
Frequently Asked Questions
What is Velma Deepfake Detect?
Velma Deepfake Detect is Modulate’s synthetic voice detection API for batch and real-time streaming audio.
How accurate is Velma Deepfake Detect?
Velma Deepfake Detect is the most accurate solution on the market. We’re ranked #1 on the highly regarded Hugging Face Speech Deepfake Arena leaderboard, beating out competitors like Resemble which use 10x larger models on an assessment spanning 15 major test datasets. Our equal error rate (1.1%) is less than half the error rate of the next best solution.
Does Velma Deepfake Detect provide binary assessments or scores?
Velma Deepfake Detect provides probability scores, not binary true/fake judgements.
Is Velma Deepfake Detect clip-based or segment-based?
Velma Deepfake Detect provides segment-based scores for every four seconds of audio, with a two second overlap, ensuring accurate results even for multi-speaker conversations.
How much audio does Velma Deepfake Detect require to identify synthetic voices?
Velma Deepfake Detect can provide accurate results with only 2-3 seconds of voice, though accuracy can be further improved with additional audio.
How much does Velma Deepfake Detect cost?
Velma offers usage-based pricing at a 120x improved rate compared to the competition, starting at $0.25/hour. For more information, see our Pricing page.
Is Modulate ISO 27001 certified?
Yes. Modulate maintains ISO 27001 certification as part of its organization-wide security program.