Free AI Voice Detector
Upload MP3, WAV, M4A, OGG, or FLAC audio to check AI voices, voice clones, and deepfake audio with a private browser-side scan. No signup, email, or server upload required.
AI voice detector for voice clones, deepfake audio, and scam-call triage
Upload a voice clip to check browser-readable signals such as bitrate, silence, clipping, dynamic range, zero-crossing, and micro-variation. The file stays in your browser, making EyeSift a free no-signup first pass before you verify the speaker through a separate trusted channel.
How the AI Voice Detector Works
EyeSift decodes the selected audio locally when your browser supports the format, then checks duration, bitrate, waveform energy, silence ratio, clipping, dynamic range, zero-crossing variation, and micro-variation. Use this free AI voice detector as a first-pass synthetic-voice screen, not as forensic proof. It does not decode SynthID watermarks or cryptographically verify C2PA manifests, so high-stakes review should also use the supported provider verifier, original file history, and source context.
Voice Clone Review Checklist
| Check | Why it matters | Best next action |
|---|---|---|
| Original file | Messenger downloads, screen recordings, and reposts hide useful artifacts. | Use the earliest available WAV, FLAC, M4A, or high-quality MP3. |
| Known speaker sample | A believable clone can sound natural without matching the real speaker perfectly. | Compare cadence, breathing, pauses, and repeated phrases against a trusted sample. |
| Provenance | C2PA credentials and platform watermarks such as SynthID can preserve origin signals when supported. | Check provider verification surfaces and the original file before relying on waveform clues. |
| Context | FTC guidance treats voice cloning as a deception risk, especially for scams and impersonation. | Verify the source through a separate channel before acting on urgent requests. |
Sources Checked for Voice-Clone Risk
Reviewed July 18, 2026. These sources support the page's practical guidance: use the detector as triage, then verify urgent money, account, identity, or safety requests through a separate trusted channel. Provider-specific watermark checks and C2PA provenance can add evidence when supported, but missing signals are not proof that a voice is human-recorded.
What We Screen For
- Very smooth waveform transitions that can appear in synthetic or heavily processed voices
- Low dynamic variation, silence-heavy clips, hard limiting, clipping, or bitrate limits that reduce confidence
- Voice cloning, text-to-speech, and AI-generated audio risk signals for manual review
- Format and quality limits that can make a result inconclusive
Supported Audio Formats
WAV, FLAC
Raw or lossless files preserve waveform detail.
M4A, MP3, OGG
Useful for screening when bitrate is high enough.
Voice-note exports, reposts
Heavy compression can hide or create artifacts.
Voice Detection Guides
Audio and Music Provenance
Related Tools
Frequently Asked Questions
What is an AI voice detector?
An AI voice detector is a screening tool that checks a voice recording for signals associated with synthetic speech, voice cloning, text-to-speech, or deepfake audio. EyeSift runs this check in your browser and reports a triage score, not forensic proof.
Is EyeSift a free AI voice detector?
Yes. EyeSift is a free AI voice detector for browser-side triage. It screens MP3, WAV, M4A, OGG, and FLAC files for synthetic-voice, voice-clone, and deepfake-audio risk signals without signup, email, or server upload. Results are review signals, not forensic proof.
What makes EyeSift different from other AI voice detectors?
EyeSift is designed for fast private triage: no signup, no email, no server upload, and browser-side checks for waveform and file-quality signals. Some provider classifiers are scoped to one generator or require accounts, so use EyeSift as a first-pass review step alongside source verification.
Do I need an account or email to use the AI voice detector?
No. Select an audio file and run the check in your browser. EyeSift does not require an account, email address, subscription, or server upload for the audio-analysis tool.
What types of AI audio can this detector identify?
EyeSift screens audio for signs that can appear in AI text-to-speech, voice cloning, synthetic narration, and heavily processed audio. It checks browser-readable waveform and metadata signals such as duration, bitrate, energy, silence ratio, zero-crossing variation, and micro-variation.
How does voice clone detection work?
Voice-clone triage looks for file and waveform patterns that differ from natural recordings, such as overly smooth transitions, low dynamic variation, unusual silence ratios, or quality constraints that hide detail. The result is a screening signal and should be combined with source verification for high-stakes decisions.
Can an AI voice detector check scam calls or voice messages?
It can screen a saved voice clip or message for synthetic-audio signals, but it should not be the only verification step. FTC and FBI/IC3 guidance treats AI voice cloning and AI-generated audio as impersonation and vishing risks, while the FCC treats AI-generated robocall voices as artificial or prerecorded voices under the TCPA. For urgent money, account, or identity requests, verify the person through a separate trusted channel before acting.
What audio formats produce the best results?
WAV and FLAC files provide the most data for analysis because they are uncompressed or lossless. MP3, M4A, and OGG files can work when the browser can decode them, but compression can mask some spectral artifacts. For best results, use the highest quality audio available and avoid files that have been converted multiple times or recorded from speakers using a phone microphone.
Can this detect AI-generated podcast or audiobook content?
It can screen podcast or audiobook samples when the browser can decode the file. Longer clips usually provide stronger waveform context than very short clips. Premium AI voices and post-production processing can reduce reliability, so results should be considered probabilistic rather than definitive.
How reliable is AI audio detection for legal or forensic use?
AI audio detection tools provide probability-based assessments, not forensic certainty. For legal proceedings or formal investigations, automated detection should be supplemented with expert analysis by audio forensics professionals. Our tool is best suited for preliminary screening, content moderation workflows, and awareness of synthetic audio characteristics.
Is my uploaded audio file stored or transmitted?
No. All audio analysis runs entirely in your browser. Your audio file is never sent to any server, stored in any database, or accessible to anyone else. The file data exists only in your local browser memory for the duration of your session.