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Pulse Qualitative turns your interview recordings into searchable, structured data. Upload an audio or video file, choose your transcription mode, and Smartinterview returns a timestamped transcript with each speaker automatically identified. Once transcribed, you can chat with your recordings using plain language — no manual tagging or export required. Use Pulse Qualitative for in-depth interviews, focus group recordings, user research sessions, or any qualitative data where understanding who said what matters.

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Key capabilities

  • Speaker diarization — the advanced transcription mode automatically identifies and labels each participant (Interviewer, Respondent 1, etc.) so you can read or filter by speaker without manual editing.
  • AI workspace chat — ask questions about your transcriptions in natural language and get answers grounded in the actual recordings.
  • Transcript export — download the transcript as plain text or a Word document for use in reports or external analysis tools.
  • Multi-file workspaces — group recordings from the same study into a workspace and chat across all of them at once.

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How it works

1

Upload your recording

Drag and drop one or more audio or video files onto the Pulse Qualitative upload area. Smartinterview accepts MP4, MOV, WebM, MP3, WAV, M4A, OGG, and other common formats. Files are compressed automatically before processing.Learn about uploading →
2

Transcribe with speaker labels

Select the recording language and choose between Standard (faster) or Advanced (speaker diarization) transcription. Click Transcribe and monitor progress in real time.Learn about transcription →
3

Review the transcript

Open the completed transcript to read timestamped speaker turns, browse Q&A pairs extracted from the conversation, and download the result in your preferred format.
4

Chat with your data

Open the Workspace Chat panel and ask questions about one or more transcriptions. Use natural language — for example, “What were the main concerns about pricing?” or “Summarize what Respondent 2 said about onboarding.”Learn about workspace chat →

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Token usage

Transcription costs 8 tokens per minute of audio. To estimate the cost for a recording, divide the duration in minutes by one and multiply by 8. A 45-minute interview, for example, uses 360 tokens. You can top up your token balance at any time from your account settings.
Token charges apply to transcription only. Reviewing transcripts, browsing history, and using workspace chat do not consume tokens.