Automatic speaker diarization
A multi-person recording is split by voice so the transcript reads like a conversation instead of one wall of text. Each speaker gets a clear, color-coded label.
Speaker identification
Murmur does more than speech to text. It performs speaker diarization — separating a multi-person recording by voice — labels every transcript line, and remembers people you name so they can be recognized in later recordings, all on your device.
A multi-person recording is split by voice so the transcript reads like a conversation instead of one wall of text. Each speaker gets a clear, color-coded label.
Name a speaker once and Murmur keeps that voice in your local people library. When that person appears in another recording, Murmur can identify them automatically.
Rename speakers, merge duplicates, relearn a voice, or reassign an individual line. The speaker data stays on the device together with your recordings and transcripts.
Put the phone on the table, hit record, and stay in the conversation. Murmur writes the meeting down as it happens and labels every line with the person who said it — on your device, without sending the room to anyone else.
Journalists, researchers and anyone recording a conversation they promised to protect: Murmur produces a verbatim, speaker-separated transcript without a single byte leaving the phone.
A voice memo, a meeting somebody else recorded, a lecture, a video file. Import it into Murmur and get a transcript on your own device, with every speaker labeled and every line replayable.
Download Murmur, download a speech model once, and every recording after that is transcribed on your own device — meetings, interviews, lectures, ideas on a walk.
Free to download · No account · Works with no signal
On iPhone and iPad the free version transcribes the first 20 minutes of each recording; Murmur Pro is a one-time purchase that lifts the limit. On Android, transcription is currently free with no recording-length limit.