Summary
- In research, interview transcription software is handling data: decide on data handling, verbatim level, speaker labels and timestamps before you transcribe, and keep them the same for every interview.
- Read the tool's privacy policy against your ethics approval or data-management plan before you upload anything.
- VideoText keeps uploaded video and audio only briefly, doesn't use your content to train models, and exports timestamped transcripts as DOCX, CSV or JSON for analysis.
- Transcribe a pilot interview in Video to Transcript, free for files up to 30 minutes.
Choosing interview transcription software for research is different from choosing it for meetings. Participants have consented to specific handling of their data. Your analysis depends on every transcript following the same conventions. And quotes in a paper or report need to be traceable to a point in the recording.
This guide is for academic researchers, UX and market researchers, and anyone transcribing qualitative interviews in 2027. It covers the decisions to make before you transcribe, the transcription steps themselves and what to export for analysis.
Try it on a pilot interview: upload the recording to Video to Transcript with your conventions set. Free account, no card needed.
Decide these before the first interview
| Decision |
Options |
Why decide early |
| Data handling |
What may be uploaded, where, and for how long |
It has to match what participants consented to |
| Verbatim level |
Full verbatim (fillers, false starts) or clean verbatim |
Changing it mid-study makes transcripts inconsistent |
| Speaker labels |
Roles ("Interviewer", "P04") or pseudonyms, never real names if you've promised anonymity |
Labels end up in quotes and coded data |
| Timestamps |
Per speaker turn, per interval, or timecode |
Citable quotes need a time you can find again |
| Export format |
Document for reading, CSV or JSON for analysis software |
Re-exporting a whole study later is avoidable work |
Step 1: Check data handling against your approval
Read the privacy policy of any tool before you upload interviews, and compare it with your ethics approval or data-management plan. Points worth checking on VideoText's privacy policy:
- Video and audio are not kept long-term. Uploads and scratch files are removed within a few hours, and result files are kept for at least 24 hours.
- Transcript text retention. Transcript text is kept for at least 7 days until project saving is turned on for the account; once it is, saved projects are kept for 30 days on Free and 365 days on Pro.
- No training on your content. VideoText does not use your content to train models.
- Service providers. The policy names the service providers that process uploaded audio and text to deliver the service. List them in your data-management plan if your approval requires it.
If your approval doesn't allow recordings to leave a particular system, don't upload them anywhere. Use your institution's approved route.
Step 2: Transcribe with the study's conventions
On Video to Transcript:
- Set the spoken language rather than leaving auto-detect on, and add names and terms you expect, such as organization names, product names or technical vocabulary.
- Turn on speaker labels (Pro). Turns are labelled only when the recording actually has more than one speaker.
- Choose the verbatim level your study uses, full or clean, before you export.
- Choose timestamps: per speaker, per segment, per interval (every 30 seconds by default) or calculated SMPTE timecode.
Free handles files up to 30 minutes. Pro handles files up to 4 hours each and batches of up to 20 files, which helps when a fieldwork round comes back at once.
Step 3: Pseudonymize and correct
Replace real names with your labels before anyone else sees the transcript. In Fix Transcript, renaming a speaker once updates every line, and you can reassign or merge speakers where a turn was split. For names mentioned inside the speech, search and edit them by hand; no tool should be trusted to find every mention.
Then correct the text against the recording. Fix Transcript suggests fixes for grammar, punctuation, capitalization, likely mishearings, times and paragraph breaks, and you accept or reject each one, so nothing changes without your decision. Researchers use it to clean interview transcripts and add timecodes for citation. Timecodes it adds are calculated markers, not re-aligned to the audio, so check any timestamp you cite.
For whether machine transcripts are reliable enough for your data, see is machine transcription reliable enough for research interview data.
Pseudonymize in one pass: open the transcript in Fix Transcript and rename each speaker label once for the whole file.
Step 4: Keep transcripts consistent across the study
Consistency matters more than any single transcript. Write your conventions down as a one-page guide (labels, verbatim level, tags for inaudible audio and crosstalk, timestamp style) and apply it to every file. Guideline Format can apply an uploaded guide to each transcript and report each rule's result; edits that would change content are flagged for you instead of applied. Free accounts get one Guideline Format run a day.
Step 5: Export for reading and for analysis
| Use |
Export |
| Reading and coding by hand |
DOCX or PDF, with speaker turns and timestamps |
| A speaker / timecode / dialogue table |
3-column DOCX or PDF |
| Analysis software or a spreadsheet |
CSV with start, end, speaker and text columns |
| Your own scripts |
JSON with timed segments and speakers |
Free exports include short VideoText watermark lines, which are worth avoiding in data you'll analyse; Pro exports have none.
Interviews in another language? Translate the corrected transcript document (TXT or DOCX) in Translate Subtitles. Presenting a video excerpt? Make captions for it in Video to Subtitles.
What it costs
A free account handles interviews up to 30 minutes, no card needed. Pro is $14.99/month or $120/year, with 30 hours of speech a month, transcription files up to 4 hours, speaker labels and watermark-free exports. A first Pro payment can be refunded in full if you ask within 7 days; see the refund policy and pricing.
FAQ
What is the best interview transcription software for research?
Software that fits your data plan and your analysis: check its privacy policy against your approval, then look for speaker labels, timestamps you can cite, consistent verbatim settings and the exports your analysis uses (DOCX, CSV or JSON). Test it on a pilot interview first.
Does VideoText use interview recordings to train models?
No. Its privacy policy says it does not use your content to train models.
Can I export transcripts for analysis software?
Yes: CSV with start, end, speaker and text columns, or JSON with timed segments.
Can I cite timestamps from the transcript?
Yes, but check them. Timestamps from transcription follow the recording; timecodes added later in Fix Transcript are calculated markers.
Next step
Write your one-page transcription conventions, then run a pilot interview through Video to Transcript with them. Speaker labels, files up to 4 hours and watermark-free exports are on Pro ($14.99/month or $120/year, refundable in full within 7 days of the first payment). For research teams working at volume, see transcription for market research firms. This guide is part of How to transcribe a video to text in 2027 and Subtitle and transcription tools: the 2027 guide.
Sources: VideoText privacy policy, Video to Transcript, Fix Transcript, Guideline Format, pricing and refund pages, https://videotext.io/privacy, https://videotext.io/video-to-transcript, https://videotext.io/fix-transcript, https://videotext.io/guideline-format, https://videotext.io/pricing and https://videotext.io/refund-policy, https://videotext.io/translate-subtitles, https://videotext.io/video-to-subtitles (checked October 25, 2026; rechecked October 28, 2026).