VideoText workflow guide

Qualitative Research Transcription

Accurate transcription for qualitative research workflows. Upload research interviews, focus groups, and fieldwork recordings — get a speaker-labeled TXT transcript ready to import into NVivo, Atlas.ti, MAXQDA, or Dedoose. VideoText uses Whisper large-v3 for high accuracy. Files are deleted immediately after processing — meeting data minimization requirements. Free tier.

Why teams use this workflow

  • Qualitative Research Transcription is part of the VideoText transcription, subtitle, and workflow toolkit.
  • Each page focuses on a specific transcript, subtitle, formatting, or export task so teams can match the workflow to the outcome they need.
  • Use the related workflows below to move from raw media to searchable text, captions, summaries, translations, or client-ready transcript formatting.

How it works

1. Understand the workflow

Transcription for qualitative research. Transcribe interviews, focus groups, and fieldwork audio for NVivo, Atlas.ti, and MAXQDA. Speaker labels. Files deleted after processing. Free tier.

2. Use the matching VideoText tool

Follow the related links to transcript, subtitle, translation, formatting, or free utility flows that match the page intent.

3. Export a usable asset

Turn media, subtitles, or transcript text into an output that is ready for publishing, editing, accessibility, or team handoff.

Outputs you can use immediately

Workflow summary

Transcription for qualitative research. Transcribe interviews, focus groups, and fieldwork audio for NVivo, Atlas.ti, and MAXQDA. Speaker labels. Files deleted after processing. Free tier.

Related workflow handoffs

The page links to transcript, subtitle, translation, formatting, and export workflows that naturally fit the task.

Practical next steps

Start with the matching VideoText tool, review the output, then export the asset your creator, editor, client, or team needs.

Frequently asked questions

What qualitative analysis software does VideoText output work with?

The plain TXT transcript imports directly into NVivo, Atlas.ti, MAXQDA, Dedoose, and HyperRESEARCH. The SRT export with timestamps can be used for time-coded analysis. Most QDAS tools accept TXT and can split by speaker turn if the transcript is formatted with speaker labels.

Does the transcript include speaker labels for thematic coding?

Yes. The Speakers branch produces a transcript segmented by speaker turn (Speaker 1, Speaker 2, etc.), which is the standard format for qualitative interview coding. You can label each speaker with participant pseudonyms before importing into QDAS.

How does VideoText handle data privacy for research participants?

VideoText processes and immediately deletes your file — no retention, no cloud storage of transcripts. This supports IRB/ethics board data minimization requirements. Your participants' audio is not stored on any server after processing.

Is VideoText free for academic research?

Yes. Free tier includes 3 uploads per day with no credit card. For intensive fieldwork, the Pro plan ($40/month) provides unlimited processing with no per-minute fees.

Related VideoText workflows

Workflow shortcuts

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