
AI voice detection with 99% accuracy, citable verdicts in under half a second.
By Tanmay Verma, Founder · Last verified 03 Jul 2026
In short
AI Voice Detector — AI voice detection with 99% accuracy, citable verdicts in under half a second. Best for Journalists and newsrooms verifying audio before publication, Legal and investigative teams building defensible evidence chains, Compliance teams at banks and call centers preventing CEO fraud. Free to start; paid plans from $49468/mo.
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Best for professionals needing a citable, defensible verdict. The published methodology and permanent URLs set it apart from black-box competitors. Accuracy is strong on clean audio, but don't expect real-time or offline use.
Last verified: July 2026
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
16 mentions across 2 sources (Hacker News, Lemmy).
How likely is AI Voice Detector to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →AI Voice Detector is a forensic tool that distinguishes AI-generated voices from human speech with 99% accuracy on clean audio. It analyzes audio clips in under half a second, returning a verdict with confidence score and, when possible, attribution to a specific generator (e.g., ElevenLabs, OpenAI). Every verdict generates a permanent URL and APA-style citation, making it suitable for journalistic, legal, and compliance use. The tool is built for newsrooms verifying suspicious audio, investigators building chain-of-custody evidence, compliance teams flagging impersonation fraud in call centers, and individuals checking questionable voicemails. It requires no account for a single detection; saving verdicts or using more features requires a free or paid account. Users submit audio by uploading files (MP3, WAV, M4A, WebM, up to 25 MB), pasting URLs, or recording directly in the browser. The detector runs against 24+ generator signatures, retrained monthly. Key differentiators include published methodology, a public confidence score (0–100), no advertising-based business model, and a team of 10 researchers in London. The API provides the same model for integration. Compared to generic AI detectors or simple manual checks, AI Voice Detector offers citable, versioned methodology and model attribution. It is not a real-time or offline tool, and accuracy drops on heavily compressed audio. Best for professional users who need defensible results.
AI Voice Detector fills a specific, valuable niche: providing a citable, forensic-grade verdict for audio authenticity. Its published, versioned methodology and permanent verdict URLs make it uniquely suited for journalism and legal work. The 99% accuracy on clean audio across 24+ generator models is impressive, and the 0.48-second median response time means you're not waiting around. When to pick this: if you need a verdict you can cite in a news article, present in court, or file in a compliance audit. The free tier (50 detections/month) is generous for occasional use. The API integration is straightforward. When to pass: if you need real-time detection during a live conversation (this is an analysis tool, not a guardrail), or if you work with heavily compressed audio like low-bitrate WhatsApp calls — accuracy will be lower, and the tool will tell you so. It's also not for offline or fully automated workflows without human review. Compared to alternatives: most AI detection tools are black boxes with no published methodology. AI Voice Detector's transparency is its key advantage. However, it's more expensive per detection than some competitors, and you're paying for the citable output, not raw speed. In practice, we've seen newsrooms use it to debunk hoax recordings and compliance teams flag deepfake CEO calls. The model attribution (naming specific generators like ElevenLabs) is a standout feature when you need to trace the source. Just remember: 99% accuracy is on clean audio; real-world clips may score lower.
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