AI voice transcription for sales teams.
Ask one sales question without booking another meeting. The prospect records in their browser, then you review the recording, transcript, and summary.
The short answer
Transcription is useful when it leads to a decision
Meeting transcription starts after you have already paid the cost of a meeting. A focused voice prompt starts with a smaller ask: one question that the prospect can answer when it suits them.
This fits a specific part of the sales process. Use it after a demo, proposal, or stalled thread when one answer could clarify the next step. Use a live call when the answer will create several follow-up questions.
Transcription quality depends on audio clarity. A prospect recording from a quiet office gets a near-perfect transcript. A prospect on a windy street may produce gaps or incorrect words. Check the recording before quoting them.
The workflow
What happens between the prospect tapping send and you reading the summary.
- 1
Prospect records a 60-second voice note
You send a Magic Link with one question. The prospect opens it on any phone or laptop, taps record, and speaks for up to sixty seconds. No app, no login, no account. The audio uploads to a private Cloudflare R2 bucket the moment they hit send.
- 2
HeySpeak creates a transcript
After submission, HeySpeak sends the recording for transcription. Processing time and accuracy vary with audio quality, language, and service load.
- 3
Mistral Small writes the summary
Once the transcript exists, HeySpeak creates a short summary in the context of the question you asked. Treat it as a first pass, then check the transcript or recording before acting on an important detail.
- 4
Sales rep reads the result in the dashboard
Each submitted voice response appears with the recording, transcript, and summary. Scan the written version first, then listen when tone or exact wording matters.
The stack, in plain terms
The product keeps the source and the machine-generated views together.
- Recording. The original answer remains available when exact wording, tone, or a proper noun matters.
- Transcript. Use it to skim and copy useful passages. Expect mistakes in noisy recordings and check important details against the audio.
- Summary. Use the short summary for triage, not as a substitute for the prospect's full answer.
Related pages
Where AI transcription fits in a broader async voice sales flow.
Use case
What to send after a deal goes cold
Use the same Magic Link to ask lost prospects one question. Read the transcript pattern across five deals.
Playbook
Customer discovery, twenty interviews, no calls
A six-step playbook for running real interviews async. Transcripts and summaries do the synthesis work.
Use case
Async user interviews
When voice notes replace the live call, and when they do not. Worked examples and limits.
Guide
Voice to text feedback, end to end
Longer pillar guide: the full async voice feedback workflow, from question design to acting on the transcript.
Common questions
How accurate is the transcription?
Who processes the transcription?
What languages does it support?
How is this different from Gong, Fathom, or Otter?
Can I export transcripts to my CRM?
How long are recordings stored?
Stop transcribing calls. Skip the call.
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