Best AI Audio Detectors

Best Paid AI Audio Detectors

Pindrop Pulse

Pindrop Pulse is a cutting-edge audio security solution that uses voice biometrics, pitch dynamics, and acoustic signal analysis to detect AI-cloned voices and fraudulent calls in real time. It's widely deployed in high-stakes environments like banks, insurance companies, and telecom providers, where verifying caller identity is critical. By analyzing over 1,000 vocal features — including anomalies like background artifacts, timing irregularities, and synthesized waveforms — Pindrop can distinguish between real human speech and manipulated or generated audio. It's ideal for large-scale contact centers needing to reduce fraud risk while maintaining customer experience.

Respeecher Voice Integrity

Respeecher’s Voice Integrity API offers a powerful way to detect AI-generated voice content, including samples cloned using Respeecher’s own tools. The system is tailored for media production houses, advertisers, and IP rights holders who need to verify the authenticity of voices used in audio or video assets. It can flag audio segments that match known cloning patterns, even if they are lightly edited or repitched. Respeecher’s value lies in its combination of creator tools and integrity checks, making it a trusted solution for protecting brand voice, celebrity rights, and voice licensing agreements.

DeepTrust Audio Forensics

DeepTrust brings forensic-level AI analysis to audio authenticity. The platform uses machine learning and waveform forensics to detect subtle clues in speech, such as echo mismatches, rhythmic deviations, or spectral inconsistencies. It’s especially suited for legal professionals, HR compliance officers, and government investigators tasked with verifying voice evidence, whistleblower reports, or policy violations. DeepTrust’s toolset doesn’t just say “yes” or “no” — it offers interpretable evidence that helps support investigations and regulatory actions.

Truepic Audio Verify

Truepic takes a unique approach by focusing not on detecting fakes, but on preventing them. Its system embeds metadata and provenance at the time of recording, including timestamps, GPS data, and device fingerprinting. This ensures audio clips have a verifiable chain of custody. Designed for journalists, field researchers, and corporate compliance teams, Truepic is best used as a recording integrity solution — ensuring the authenticity of original content before doubts ever arise. It’s not a detector in the traditional sense but is an important complement to AI audio detection tools.

Veritone VoiceSecure

Veritone VoiceSecure is an enterprise-grade tool for detecting and defending against AI voice threats. Used by government agencies, defense contractors, and security teams, it combines voiceprint recognition, threat monitoring, and AI impersonation detection. VoiceSecure continuously compares speaker identity, accent drift, and waveform anomalies to a trusted voice database. It’s particularly effective at securing internal communications, executive calls, and voice-activated systems from deepfake infiltration or insider impersonation threats.

Best Free AI Audio Detectors

Resemble Detect

Resemble Detect provides a powerful, free online scanner for deepfake audio — powered by enterprise-grade AI with over 98% accuracy. You can upload up to 2 minutes of WAV or MP3 audio, and it returns a verdict ("Real" or "Fake") with a confidence score. The interface is clean and intuitive, ideal for journalists, fact-checkers, podcast hosts, and everyday users who need fast verification. While the tool is designed for professional use cases, its free tier is robust and well-suited for personal or educational investigations into AI-generated speech. Resemble’s team is known for transparency and continued development, making this one of the best free audio deepfake detection tools available.

Deepfake Detector AI

Deepfake Detector AI is a free web-based tool for identifying synthetic content in both audio and video formats. Users can upload media files and receive a percentage-based confidence score indicating whether the content appears to be AI-generated. Though the interface is a bit basic and may feel dated, the tool supports real-world use cases where users need to assess both voiceovers and face-synced video clips. This makes it particularly helpful for educators, reporters, or anyone managing user-submitted content. It's one of the few free tools that offers multi-format deepfake scanning without requiring an account or payment.

ElevenLabs Speech Classifier

ElevenLabs’ free AI Speech Classifier is a specialized tool designed to detect whether an audio sample was generated by ElevenLabs’ own TTS (text-to-speech) engine. It accepts standard file formats and returns a probability score based on proprietary watermarking and model-specific fingerprinting. This makes it especially useful for verifying authenticity in content produced by ElevenLabs or for detecting misuse of its platform. While it won’t detect audio from other generators, it excels at what it was built for — helping creators, platforms, and listeners verify the origin of synthetic voices created using ElevenLabs’ advanced models.

Play.ht Voice Classifier

Play.ht’s Voice Classifier is a straightforward and accessible tool for detecting AI-generated speech. Users simply upload an audio file, and the system quickly classifies it as either human or synthetic. While it doesn’t offer deep forensic analytics or cross-model detection, it supports a variety of voices created on common TTS platforms and returns fast, reliable verdicts. This tool is best suited for content creators, editors, or users working with freelance audio — offering peace of mind before publishing or broadcasting speech-based media. Its clean interface and ease of use make it a practical everyday tool in an AI-saturated landscape.

DeepFake‑o‑meter

Developed by the University at Buffalo, DeepFake‑o‑meter is an academic tool designed to evaluate whether uploaded media — including audio — contains signs of AI generation. Users can test files using multiple detection models and compare results, making the tool especially valuable for transparency and research. While the interface is minimal and best suited for tech-savvy users, the ability to see how different AI classifiers analyze the same audio file provides unique insight. It’s a strong choice for universities, educators, and digital forensics teams looking for a deeper understanding of audio deepfake detection from a scientific perspective.