Meeting transcription bottleneck shifts to speaker attribution, not accuracy
Mysterious_Sign_9501 · reddit · 2026-08-26
After testing various AI transcription tools, the author notes that word-level accuracy is now solid (upper 90s%). The real bottleneck is speaker diarization—figuring out who said what—especially in multi-person calls with crosstalk. A transcript with wrong attribution is arguably more useless than one with lower accuracy. Tools like Otter and Vomo.ai were tested, with Vomo performing better on 3+ calls, though overlapping speech remains a challenge.
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