Qualitative Research Β· Speaker Labels Β· Private

Focus Group Transcription That Keeps Research Data Local

Turn multi-speaker research recordings into labeled, timestamped text without uploading participant voices. Review every quote against its source and export data for your analysis workflow.

Transcribe a Focus Group

Three steps, about a minute, zero uploads.

1
Record or import the session

Capture the group in VoiceMaster or import audio from your recorder as MP3, M4A, WAV and other supported formats.

2
Separate and name speakers

Pro identifies speaker turns on-device. Rename labels to participant IDs or pseudonyms and keep attribution consistent.

3
Verify and export the transcript

Tap any segment to replay the source, correct the wording, then export Markdown, timestamped text or JSON for coding and analysis.

Why VoiceMaster

Private on-device transcription with pro-grade output.

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Multi-Speaker Transcripts

Separate voices into labeled turns instead of one unreadable wall of text.

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Qualitative Research Ready

Use participant IDs, timestamps and structured exports in an auditable workflow.

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Participant Audio Stays Local

Sensitive research recordings are processed on your own Apple device.

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Search Across Sessions

Find themes, terms and quotes across titles, transcripts, bookmarks and notes.

Speaker Attribution for Qualitative Research

A useful focus group transcript must preserve who said what. Without speaker turns, researchers spend hours reconstructing attribution before thematic coding can begin. VoiceMaster Pro separates speakers on-device and lets you rename them once, whether your study uses names, pseudonyms or participant IDs.

Every segment also carries a timestamp linked to the source audio. When wording is ambiguous or a quote may appear in a report, one tap returns to the exact moment in the recording. That audit trail makes machine transcription faster to review without pretending that automated text never needs human verification.

A Private Research Transcription Workflow

Interviews, usability studies and focus groups may contain personal experiences, unreleased product information or other sensitive data. Uploading those recordings creates another copy outside the researcher’s immediate control. VoiceMaster processes recognition and speaker separation locally, with no account and no required cloud sync.

Export cleaned transcripts as Markdown or timestamped text for reading, or use structured JSON when a downstream analysis pipeline needs segments, speakers and bookmarks. Pro removes transcription limits, and the lifetime purchase supports repeated studies without a continuing per-minute bill.

Frequently Asked Questions

Can VoiceMaster identify speakers in a focus group?

VoiceMaster Pro separates speaker turns on-device. You can rename the generated labels to participant IDs, pseudonyms or names for the whole transcript.

Is VoiceMaster suitable for confidential research interviews?

VoiceMaster processes recordings locally and does not require an account or cloud upload. Researchers should still follow their own consent, ethics, storage and retention requirements.

Which formats can I export for qualitative analysis?

Pro supports Markdown, timestamped text and JSON containing transcript segments, speaker information and bookmarks, alongside SRT and WebVTT.

Try It Free β€” No Account Needed

120 free transcription minutes every month, on iPhone, iPad and Mac.

Download on the App Store