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Identify speakers in audio free

By ShinobiTools Team · Last updated: July 2026

A transcript of a conversation is half a transcript if you can't tell who said what. ScribeGrab groups the voices it hears and puts Speaker 1, Speaker 2 in front of every line — automatically, in the text and the subtitles.

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What speaker identification actually gives you

It's also called diarization: not recognising who someone is, but noticing that this voice and that voice are two different people, and marking where each one is talking. The result is a transcript you can read like a script instead of a wall of text.

• Interviews where the question and the answer are visibly separate
• Meetings where you can see who committed to what
• Podcasts with two or three hosts, ready for show notes
• Court, research or class recordings where the turn-taking is the point

How it works here

Every stretch of speech is turned into a voice fingerprint — an ECAPA-TDNN embedding — and those fingerprints are clustered: voices that sit close together are treated as one person. Whichever cluster a line falls into decides its label, and the label is written into the TXT, the SRT and the VTT.

It runs by itself. There's no setting to switch on and nothing to tell it in advance, including how many people are in the room.

Where it stops — honestly

It can't know anyone's name. It has never heard your voice before, so it says Speaker 1, not "Sarah": read the first line each person says and replace the labels once in your text editor.

• It labels 2 to 8 speakers. One voice needs no labels, and above eight the grouping stops being trustworthy — so it stays quiet rather than guessing.
• It needs a few seconds of each voice to get a fingerprint worth clustering. A one-word interjection may land on the neighbouring speaker.
• Heavy crosstalk is the hard case for every tool on the market, ours included. Two people talking over each other for a full sentence can end up under one label.
• It works from voice, not from channels — so it doesn't matter whether everyone was recorded on one microphone.

The transcript itself is unaffected either way: if the voices can't be told apart reliably, you simply get the normal transcript without labels.

Good with

Speaker labels come out of the same upload as everything else, so a recorded call can come back labelled, with subtitles, and with the swearing bleeped if you need to share it. See also transcribing an interview and a Zoom or Teams recording.

Common questions