Who said that? Voice Recognition
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Sean Savatt
Add post-meeting voice attribution that allows users to tag speakers by name and role, then automatically recognize those voices in future meetings. With saved background and org context (pro feature)(titles, reporting relationships, frequent collaborators), Hedy AI could generate summaries, action items, and follow-ups with names already attached and better prioritization. This would move Hedy beyond transcription into true meeting intelligence by understanding who is speaking and how their role impacts decisions and next steps.
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Rudy
After using Hedy for several months, I’ve realized that speaker identification is the most critical feature the platform needs. Almost every issue I encounter with transcriptions, summaries, and action items stems from the AI misattributing who said what. Because it can't distinguish between speakers, it makes wrong assumptions about task ownership and meeting tone, often providing incorrect answers when I ask questions about a session.
Orian Sandstein
yes yes yes yes yes indeed +1