For Researchers, UX teams, academicsComing soon

Code interviews in our tool, export to yours

Highlight passages, attach codes from a workspace-level codebook, then export to NVivo, Atlas.ti, Dovetail or MAXQDA in their native formats — speaker labels intact.

Try it free — 30 min Sign in

No credit card. Pay-as-you-go after the free 30 minutes.

The pitch

Stop transcribing in one tool, then re-importing into your analysis tool with broken speaker labels. Transcribr lets you code passages inline (with a shared codebook across the project), then exports to the qual tool you already use — natively, not as plain text.

What you get

One feature, six ways it pays back.

Inline tagging with a workspace-level codebook (colour-coded margin)
Native export to NVivo (.qdpx), Atlas.ti (.atlproj), Dovetail JSON, MAXQDA
Speaker labels and timestamps survive the round-trip
Anonymisation pass — replace participant names with P01, P02, … and emit a separate decoder key
Per-project shared codebook — every team-mate sees the same tags

What it replaces

Three tools become one button.

Manual cleanup after importing transcripts into NVivo / Atlas.ti / Dovetail

Per-seat pricing on team transcription tools

Switching contexts between the transcript app and the analysis app

In practice

What it looks like for real users.

User research study, 12 interviews

Transcribe + tag inline, export to Dovetail with the codebook intact. No manual re-coding.

Academic thesis, 40+ recordings

Anonymisation pass strips participant identifiers automatically. IRB-friendly out of the box.

FAQ

What people ask before signing up.

Which qualitative tools do you export to today?

NVivo (.qdpx), Atlas.ti, Dovetail and MAXQDA at launch. Reach out if you need another — the format adapter pattern means most tools are a small effort to add.

Can a team share a codebook?

Yes — codebooks are workspace-level, so everyone tagging in your project sees the same set. Edits sync in real time.

Also built for

Whoever has the recording, has the work.

For Podcasters

Show notes in 30 seconds, not 30 minutes

Generate episode summaries, timestamped chapters, social pull-quotes and YouTube chapter markers from any podcast episode in one click.

For Anyone with a library of recordings

Chat with every transcript you've ever recorded

Search across every interview, episode and meeting in plain English. "What did Sarah say about pricing in the March calls?" — answered in seconds with timestamps.

For Podcasters & content creators

Auto-detect the most clip-worthy moments

AI surfaces 30–60 second highlight moments from every episode, with burnt-in subtitles. Export 9:16 / 1:1 / 16:9 MP4s ready for social.

Code interviews in our tool, export to yours

Drop a file. We'll handle the rest.

Try it free See all use cases

No credit card. First 30 minutes free.