DeepFake Audio Detector
ProductivityLifestyle

DeepFake Audio Detector

Hanva,LLC · released 26 Jun 2026 · Open in App Store ↗

Revenue 30d not estimated
Downloads 30d not estimated
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Description

Spot potential AI‑generated voices before they trick you.

DeepFake Audio Detector uses on‑device machine learning to estimate whether a voice recording is more likely real or synthetically generated (deepfake).

Use it when you receive suspicious voice messages, audio files, or calls recorded from another device — and get an instant AI‑based risk assessment.

How it works

DeepFake Audio Detector runs a custom Core ML model directly on your iPhone.

Simply:

Analyze live microphone audio – tap “Microphone analysis” and speak or play audio near your phone.

Analyze an audio file – import a .wav, .m4a or .mp3 file from Files, iCloud or other apps.

See a clear result: “Real voice” or “Deepfake (synthetic)” with a confidence score.

No audio is sent to external servers; analysis is performed locally on your device where possible.

Key Features

AI‑powered deepfake voice detection

Custom machine learning model trained to distinguish natural human speech from synthetic / cloned voices.

Live microphone analysis

Check voices in real time using your iPhone’s microphone — useful for quick checks during conversations or calls on speaker.

File analysis

Import recordings from Files, iCloud Drive and other apps to test voice messages, podcasts, clips and more.

Clear confidence score

See how confident the model is in its prediction, so you can better judge the level of risk.

Detection history

Review your recent checks with date, source (microphone or file) and model confidence.

Modern, privacy‑first design

All analysis runs on‑device using Apple’s Core ML and SoundAnalysis frameworks. Your audio stays under your control.

Designed for security‑aware users

Helpful for journalists, creators, security professionals and anyone who wants an extra layer of protection against voice scams.

Important Disclaimer

DeepFake Audio Detector provides probabilistic estimates based on a machine learning model.

Results are not 100% accurate and:

should not be used as legal proof or for biometric identification;

should not be the only basis for critical decisions;

are meant as an additional signal to help you evaluate potential deepfake audio.

Always combine the app’s output with your own judgment and other sources of information.

Subscription Plans:

Payment will be charged to your App Store Account at confirmation of purchase.

Your subscription will automatically renew unless auto-renew is turned off at least 24 hours before the end of the current subscription period.

Your account will be charged for renewal within 24 hours prior to the end of the current subscription period. Automatic renewals will cost the same price you were originally charged for the subscription.

Manage or cancel your subscription from your user settings in the App Store at any time after purchasing.

Any unused portion of a free trial will be forfeited if you purchase a subscription.

Privacy Policy: https://sunteame.com/privacy-policy/

Terms And Conditions:https://sunteame.com/terms-of-service/