Reline for
user research
Reline records your interview's mic and system audio locally on your machine, with no bot dialing into the call, then transcribes it in 60+ languages and ties every summary point back to the exact moment someone said it.
The interview is the easy part. The 6 hours after it aren't.
You ran a clean session, got the participant talking, caught the gold. Then you spend the rest of the day fighting your own recording: scrubbing audio for that one quote, retyping a transcript, and writing up findings that nobody can trace back to what was actually said.
Manual transcription, or cleaning up a bad auto-transcript, eats hours per session and gets worse when the participant code-switches or speaks a language your tool only half-supports.
Synthesis ends up un-citable: a slide claims 'users were confused by onboarding,' and three weeks later nobody, including you, can find the moment that backed it.
Multilingual studies fall apart on tooling that's tuned for English, so you either translate by hand or quietly drop those participants from the analysis.
By session twelve, the study lives across a dozen transcripts and you can't ask one question across all of them without re-reading everything.
Transcribe interviews in the language people actually speak
Reline transcribes 60+ languages with automatic detection, so a participant switching between, say, Spanish and English mid-sentence doesn't break the transcript. Speaker labels are simple: 'Me' for your mic and 'Other' for everything coming through your system audio, which is the split you usually want for a one-on-one interview. Capture runs locally on your device (macOS, Windows, Linux, or the web), and no bot joins the call to announce itself or sit in your participant's video grid.
Every finding links back to the moment it came from
Reline's AI summaries cite their sources: each point links to the exact spot in the transcript that produced it. Click a transcript line and the in-app recording playback jumps straight to that second, so 'participant struggled with the date picker' is one click from the actual struggle. When a stakeholder pushes back on a finding, you don't defend it from memory, you play the tape.
Ask one question across the whole study
RAG chat lets you query across notes, folders, and your workspace, so once all of a study's sessions live in a folder you can ask 'where did anyone mention pricing?' and get answers pulled from every interview at once. Reusable Lenses save the analysis prompts you run on every session, like a fixed set of synthesis questions, so each new transcript gets worked the same way without re-typing the instructions.
Keep the write-up where the team already works
Notes are a real-time collaborative, Notion-style notepad, so a researcher and a designer can sit in the same readout doc while it's being built. Reline is private-by-default with five permission levels, plus an audit log on team plans (and SSO on request), which matters when sessions include participant PII. Push to Slack, Linear, or Notion when you want (rolling out), and sync sessions from Google or Microsoft calendars (read-only).
Dig deeper
Questions researchers ask
- What languages can it transcribe? My participants don't all speak English.
- Reline transcribes 60+ languages with automatic detection, so you don't have to set the language ahead of time. Participants who switch between languages mid-interview stay in one continuous transcript instead of breaking it.
- Does it identify who said what, by name?
- Not by name. Reline labels speakers as 'Me' (your microphone) and 'Other' (your system audio), which cleanly separates you from the participant in a one-on-one session. It doesn't do named diarization, so for a multi-person focus group you'd attribute speakers yourself.
- Can I actually trust the synthesis, or is it a black box?
- Every point in an AI summary links back to the exact transcript moment it came from. Click through to read the original quote in context or hit play to hear it, so you can verify any finding instead of taking the summary's word for it.
- How does it stay private when sessions contain participant data?
- Reline is private-by-default with five permission levels, so nothing is shared until you share it. Team plans add an audit log, with SSO available on request. Note that capture is local on your device but transcription, AI, and storage run in the cloud, so it's not an offline or on-device-AI tool.
- Is there a way to run the same analysis on every interview?
- Yes. Save your synthesis prompts as a reusable Lens, then apply it to each new session so every transcript gets the same set of questions. Once a study's sessions are in one folder, RAG chat lets you ask a single question across all of them at once.
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