Audio analysis and speech tools

This is the toolbox for the everyday questions people ask about a recording. What does it say, who is talking, how good does it sound, and can I trust it? Each tool takes an uploaded file or an in-browser recording and returns a written report with 0 to 100 scores, produced by a multimodal AI model you choose.

For speech, Audio to Text turns a recording into a transcript, Speaker Diarization labels who spoke when, and the Language Detector names the language being spoken. Speech Clarity scores articulation and intelligibility, while the pronunciation checkers give language learners feedback in English, Spanish, French, German, Mandarin, Japanese and Korean.

For the recording itself, the Audio Quality Test looks at noise, distortion and overall production value, and What Is This Sound? names the background noises you hear. The Audio Accessibility Checker reviews a file against common accessibility expectations, and the Audio Description Generator writes a plain-language account of what a clip contains.

A few tools deal with trust and origin: the AI Voice Detector looks for signs of synthetic or cloned speech, Audio Forensics looks for signs of editing, and Voice Compare estimates whether two clips come from the same speaker. These are AI estimates to guide a closer look, not legal or forensic findings.

The hub suits podcasters, students, researchers, journalists and anyone who needs a quick, structured read on an audio file.