Detect Azure Neural TTS AI voices.
Suspect a clip was made with Azure Neural TTS? Run it through the free detector to check whether the voice is AI-generated. Azure Neural TTS in short: Microsoft's cloud neural TTS, with a Custom Neural Voice capability for approved enterprise use.
Azure Neural TTS, and why it shows up in suspicious audio
Azure AI Speech is Microsoft's cloud text-to-speech service, including a Custom Neural Voice capability that can reproduce a specific speaker for approved enterprise deployments. Its neural voices power assistants, accessibility tools, and enterprise apps at very large scale.
The breadth of deployment means Azure-generated speech turns up across consumer and enterprise contexts, which is why naming the source matters as much as flagging that a clip is synthetic.
Where you tend to see it: Enterprise assistants, accessibility tools, and automated systems.
Azure Neural TTS is a legitimate product; misuse is the problem, not the tool. You can read about it on the official Azure Neural TTS site.
How to tell an Azure Neural TTS voice
The human ear is unreliable on current Azure Neural TTS audio. These are the kinds of artifacts a detector is trained to pick up.
- 01Neural-TTS prosody that is fluent but regular across sentences.
- 02Consistent timbre a real speaker would vary.
- 03Synthesis artifacts at phoneme boundaries audible to a model.
- 04A noise floor cleaner than a comparable real recording.
What the detector tells you
The detector reads the audio, not the speaker. Cloned or stock voice, clean or compressed, it looks for the signs of synthesis.
Drop the clip
Upload an MP3, WAV, M4A, OGG, FLAC or AAC file. Three seconds or more of clear speech gives the most reliable result.
The model scores it
The model scores the clip. On longer recordings it scores each segment separately, so you can see which part sounds synthetic.
Read the verdict
You get a verdict on a four-step scale, from Human to AI Generated, plus an AI probability score. It tells you whether the voice is AI-generated, not which tool made it.
What to do next
A verdict is evidence, not proof. Sign in to keep the result in your detection history and share it with a link. If you are a journalist or investigator, use it alongside your own reporting; if this is a suspected scam, treat the contact as unverified and confirm through a channel you already trust. The FTC's advice on suspected scam calls is a sensible baseline.
Building this into a workflow? The API returns the same verdict as JSON, and a Chrome extension for checking audio in any tab is in development.