AI Spy

AI Spy analyzes uploaded or linked audio files and reports whether the speech inside is human or AI-generated, with authenticity scores, word-level analysis for enterprises and a mobile app that supports recording and social links.

AI Spy is an audio authenticity checker built around one question: was this speech produced by a person or by a machine? The workflow is deliberately narrow. A user uploads an mp3 or wav file, or points the tool at a link, and AI Spy analyzes the audio content and returns a verdict on whether it is real or AI-generated. The site frames the product as a verification layer for a moment when synthetic voices are cheap, convincing and easy to distribute. Results are presented as authenticity scores rather than a bare yes or no, and enterprise users get word-level analysis produced by what the company describes as proprietary detection technology. For teams that need a human read on a contested file, the service also offers hands-on review by professional audio experts who supply additional context and actionable findings. Detection covers speech content, so the tool is aimed at interviews, viral clips, voice notes and social media audio rather than music production or sound design work. The product runs as a web app at app.ai-spy.xyz and as a mobile app for iOS, where users can record audio directly or paste a social media link for analysis. The mobile tier includes 10 free audio submissions, which makes the tool practical for testing a handful of suspicious clips before committing to anything heavier. The company's own marketing cites a CBS News interview and coverage of a viral track attributed to AI, positioning the service as a reference point for journalists and researchers checking claims about synthetic media. AI Spy sits in the content detection space alongside broader media forensics platforms, but its focus is tightly on voice. Organizations that screen user-generated audio, verify recordings, or report on suspected fakes are the natural audience; the SOC2 certification and API access signal that enterprise workflows are part of the plan. Buyers should treat detection as probabilistic rather than absolute and check how scores are interpreted before relying on them in a publishing or compliance decision.