Transcripts

For product managers and UX researchers

Turn a saved user interview into a transcript you can inspect

Move from an interview recording to searchable, editable text without losing the original conversation. Find a phrase, correct a name, label the speakers and copy a verified quote into your research workspace.

A practical interview-to-evidence workflow

Record with consent

Tell participants what is being recorded, why, who can access it and how long you plan to retain it. Upload only material your agreement and local rules allow you to process.

Transcribe the saved file

Upload audio or record in the app. Automatic language detection is available across 20 supported languages, including right-to-left reading for Hebrew, Arabic, Farsi and Yiddish.

Review speakers and terms

Add product names and domain terms under “Words and names to recognize,” then review the result. Speaker separation is optional and not perfect: rename a detected speaker, reassign an individual turn, and check consequential wording against the recording.

Move verified text onward

Search the library, copy selected text, download a TXT file, or create an expiring transcript link. Keep your analysis and participant context in the research system your team already uses.

Five checks before a quote becomes evidence

1. Authority

Check the participant agreement, permitted purpose, audience and retention rule before sending a recording to an external provider. If permission is unclear, resolve it before uploading.

2. Source

Keep the original recording available to its authorized reviewer. Use the transcript to locate a passage; listen to the surrounding question and answer before deciding what the phrase means.

3. Attribution

Check who actually spoke, especially at interruptions and overlapping turns. Use a participant code where appropriate. A correct sentence under the wrong speaker can reverse the evidence.

4. Wording

Replay consequential words, names, numbers and negations. Correct only what the recording supports, keep the timestamp, and leave an unclear passage marked unresolved instead of guessing.

5. Handoff

Choose what the next reviewer may receive. Minimize identifiers, preserve context and review state, and record the deletion date and responsible person in your project system. Revoke a share link when its purpose ends.

A verified-quote worksheet you can use with any tool

Synthetic example: two independent mistakes

A draft at 12:43 labels a line as the researcher and says “I could tell it saved.” In this invented example, audio review identifies the participant and the words “I could not tell whether anything had been saved.” Check speaker and wording separately; fluent text does not establish either.

The example teaches the review process. It is not an actual recording, customer quote or accuracy benchmark.

Keep review separate from interpretation

For each quote, record participant code, timestamp, draft wording, speaker check, audio check, context, review state and sharing decision. Leave the checks blank until you perform them. A verified quote still does not establish a theme or a representative finding.

Download blank quote worksheet (CSV)

No account is needed. Fill it in locally using your own permitted material. Transcripts does not receive the completed worksheet.

This workflow supports your own consent and retention decisions; it is not legal advice or a compliance certification.

Built around the work after the call

For freelance product managers

A searchable transcript reduces the time spent scrubbing through audio when you need to recover a customer phrase, confirm an objection or prepare evidence for a client readout. A revocable share link can give a client access without sending the recording around.

For UX researchers

Keep the participant's words available while you tag observations, compare sessions and develop themes elsewhere. Review sensitive passages before sharing, and use participant codes rather than names when your research plan calls for pseudonymisation.

For students with interview coursework

If your dissertation or seminar paper requires interviews you conducted yourself, the hard part starts after the last one: qualitative methods literature estimates three to ten hours of manual transcription per hour of recording, and the same literature tells you to check every transcript against the audio before you rely on it. Timestamped turns are what make that check a jump rather than a re-listen. With an academic email address, the first six billed months cost half the full price, applied at checkout with no coupon code.

For multilingual interviews

This saved-recording workflow transcribes the language that was spoken. Keep that source-language record and make translation decisions separately. For supported live Hebrew-English conversations, the separate Windows live-caption pilot has its own scope and limitations.

What you still need to do

Transcripts does not generate research findings, themes, summaries or product recommendations. It does not know whether a participant is representative, whether a quote is safe to publish, or how the interview fits the rest of your evidence. Treat the text as a navigable draft of the recording: verify consequential quotes against the audio, apply your consent and retention policy, then perform synthesis with the context only your research team has.

Questions before you upload

Can it identify the interviewer and participant?

Automatic speaker separation can organise detected voices into turns. It can make mistakes, especially with overlap or poor audio, so labels are editable and attribution should be checked before a quote leaves the research team.

Can a client review the result?

You can create an expiring transcript link and revoke it later. Confirm that sharing is permitted, remove unnecessary identifiers, and choose the audience before sending any participant material.

Does it analyse the interview?

No. The output is a transcript in the spoken language. Coding, synthesis, themes, decisions and recommendations remain separate research work.

Start with one saved interview

Start free: 30 transcription minutes once per account, no card needed - just confirm your email. That is about 15 minutes of audio with automatic speaker separation.

Eligible new customers receive a 7-day, card-required trial with a one-time 120-minute transcription allowance — about 60 audio minutes with automatic speaker separation. After that, the subscription is $8.99/month. Returning customers are charged immediately.

Third-party AI providers transcribe the audio, Cloudflare R2 stores media, and recordings stay in your private account library until you delete them. Review the privacy page before processing participant data.

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