Free AI Voice Detector

Why Choose DeepFake Check?

Built for truth-seekers who need fast, reliable, and private deepfake detection.

Advanced AI Technology

Our multi-layered detection engine analyzes subtle artifacts invisible to the human eye.

Frequently Asked Questions

AI Voice Detector — Is This Audio Real or Cloned?

DeepFakeCheck's AI voice detector identifies cloned voices and fully AI-generated speech from tools like ElevenLabs, Murf, PlayHT, OpenAI TTS, and Resemble AI. Upload an MP3, WAV, M4A, or OGG file (up to 50 MB) and get a confidence score within seconds. The tool is free, requires no signup, and your audio is deleted right after analysis.

How AI voice detection works

Modern voice clones can fool the human ear — but they leave statistical fingerprints that a trained model can spot. Our detector looks at three signal layers:

• Spectral artifact analysis. Synthetic speech has subtly unnatural harmonic structure, especially in the 4–8 kHz range. Even the best 2026-generation models still show distinct patterns in their mel-spectrograms.
• Prosody and breathing. Real human speech contains micro-pauses, breath noise, and stress patterns that AI tools have a hard time reproducing convincingly across a long sample.
• Phoneme-level smoothness. AI voices tend to be too smooth in transitions between phonemes — humans produce more variation in pitch and timbre.

What voice generators we can detect

The detector is regularly evaluated against ElevenLabs v2 and v3 (including the new instant-voice-clone feature), Murf, PlayHT, OpenAI TTS-1 and TTS-HD, Microsoft Azure neural voices, Google WaveNet, Resemble AI, and the open-source Tortoise and XTTS models. We also flag generic giveaways like consistent over-articulation and unnaturally even breathing.

Common use cases for voice detection

• Voice scam protection. Voice-clone scams targeting families ("Dad, I'm in trouble, send money") are now widespread. Use the detector when you get a suspicious voice message or recorded call.
• Newsrooms and podcasters verifying audio clips of public figures before quoting them.
• Call centers and KYC teams screening voice authentication attempts.
• Voice actors and creators checking whether their voice has been cloned without permission.
• Court and insurance investigators triaging audio evidence before forensic review.

Voice detection FAQ

How short can the audio be? Three seconds is the absolute minimum, but ten seconds or more gives much more reliable results. Very short clips simply do not contain enough signal for any detector to be confident.

Will it work on phone-quality audio? Yes, but accuracy is lower on 8 kHz phone codecs — the bandlimiting removes the high-frequency artifacts the detector relies on. For best results upload a higher-quality recording when possible.

What if the audio is partly real and partly AI? Hybrid clips (real audio with an AI-inserted phrase) are harder to flag at the whole-file level. We're working on per-segment detection — for now, try splitting the file and analyzing the suspected segment separately.

Can it detect AI singing or rap? Music has different acoustic properties than speech, and our model is tuned for speech. We do not currently support AI-music detection.

Is my audio stored? No. The file is processed on our servers and deleted immediately after the analysis returns. We never train models on user submissions.