Audio & Video Transcription
Automatic speech-to-text transcription for all audio and video files. Speaker diarization identifies who said what, and timestamps let you navigate directly to any spoken moment.
How it works
Azure Speech Services transcribes audio with high accuracy across multiple languages. Speaker diarization separates different voices and labels them. Timestamps are linked to the audio timeline for precise navigation. The full transcript becomes searchable text content, so spoken knowledge is as findable as written text.
Audio transcription with speaker labels and timestamps
Why it matters
Spoken knowledge is often the richest but least accessible. Meeting recordings, voice memos, interviews, and lectures contain valuable information that is locked behind a play button. Transcription unlocks it all for search, summarization, and AI chat. Ask a question and get an answer from something someone said in a recording three months ago.
AI chat answer citing a specific moment from an audio transcription