Voice ID: Wave Remembers Voices From One Call to the Next

Most transcription tools label speakers 'Speaker 1' and 'Speaker 2' — and forget them the moment the call ends. Wave's Voice ID learns each voice: name someone once, and every future recording identifies them automatically.

The problems you know too well

'Speaker 1' Isn't a Name

Generic speaker labels make transcripts hard to use — you're re-identifying the same colleagues in every single recording. Voice ID replaces anonymous labels with real names.

Every Tool Forgets Between Calls

Typical diarization starts from scratch each recording. Wave remembers: once it knows a voice, that person is recognized in your next meeting, next week's call, and every conversation after.

Attribution Matters

Meeting minutes, interview quotes, and commitments all depend on who said what. Persistent voice identification makes attribution automatic instead of an editing chore.

Features

Everything you need to capture every conversation

Voice ID Across Recordings

Wave learns each speaker's voice. Identify someone once and they're recognized automatically in future recordings — from one call to the next.

Automatic Speaker Separation

Even for brand-new voices, Wave separates and labels speakers in every transcript so multi-person conversations stay readable.

Works Everywhere You Record

Voice ID applies across Wave's recording methods — meetings, phone calls via the dialer, in-person recordings from your phone or Apple Watch, and imported audio files.

Better Summaries and Minutes

Because Wave knows who's speaking, AI summaries can attribute decisions and action items to actual people — not 'Speaker 3.'

Searchable by Person

Your recording library is searchable, and named speakers make it far more useful: find the conversations a specific person was part of and what they said.

Private by Design

Wave is SOC 2 compliant with encryption at rest and in transit. Your recordings and voice data are never used to train AI models.

Perfect for

Recurring team meetings with the same voicesClient calls where attribution mattersInterviews and panel discussionsBoard meetings and formal minutesSales teams reviewing who committed to whatResearchers tracking participants across sessions
FAQs

Common questions

Stop reading 'Speaker 1' — let Wave learn who's talking.

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