Comparison
Speaker Diarization Algorithms
What it does, and how to check it yourself.
A diarization algorithm splits a recording by who is speaking. It finds where speech starts and stops, turns each stretch of voice into a numeric pattern, and groups similar patterns as one speaker. It does not know names.
Checked November 2026 on each tool's own site. We ran no tests of our own.
Why do these algorithms make mistakes?
People talking at once, similar voices and very short turns give it little clean speech to compare.