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Transcribe 40-minute qualitative interviews, synthesize across a 300-paper lit review, and build concept maps that span your entire thesis. Privacy-respecting, citation-aware, academic grade.
No credit card required · 10 recordings free every month · 50% student discount with .edu email
Participant Interview P17.wav
47m · Captured for researchers
Research runs on capture. You conduct an hour-long semi-structured interview and spend four hours transcribing it by hand. You pull 300 papers for a lit review and spend six weeks trying to map how they relate. You collect 40 hours of ethnographic field audio and never quite get around to coding it because the tooling is awful.
Distill collapses that timeline. Qualitative interviews get transcribed verbatim with speaker labels, timestamps, and hesitation markers preserved for discourse analysis. You can apply a coding scheme (grounded theory, IPA, thematic analysis) and Distill suggests codes based on your framework — you stay in the driver's seat on interpretation while we handle the keystroke tax.
For literature review, upload PDFs and Distill extracts methods, findings, and limitations from each paper and ties them into a concept graph. Want to see everything that cites Vygotsky's ZPD in your corpus? One query. Want to find where methods converge across three different sub-fields? Distill surfaces the overlap.
Privacy matters in research. Distill runs on encrypted infrastructure, supports IRB-compliant workflows, offers participant de-identification passes, and will sign a BAA or DPA on request. Your interview data is yours — we never use it for training.
Real workflows. No fluff.
Upload your audio and Distill returns a verbatim transcript with speaker labels, timestamps, pauses, and non-verbal markers. Fully compatible with Dedoose, NVivo, and Atlas.ti import.
Apply your coding scheme and Distill suggests codes per segment based on your framework. You approve, modify, or add new codes. Inter-rater reliability jumps because you're not fatigued.
Upload 50–500 PDFs. Distill extracts research questions, methods, sample, findings, and limitations from each. Build a concept graph linking papers by shared constructs, methods, or citations.
Map how ideas travel across your interview corpus and your literature. When a participant echoes a theoretical construct from the lit review, Distill flags the link for you.
Record your research group's weekly seminar, a keynote at ICML, or a field visit. Distill structures them into reviewable notes with citations extracted where speakers name them.
Stars mark the top 3 features for researchers.
| Feature | Distill | Generic AI tools |
|---|---|---|
| ★Verbatim transcription with hesitations | Preserved for discourse analysis | Cleaned up by default |
| ★Speaker diarization | Multi-speaker with labels | 1–2 speakers |
| ★Thematic coding assistance | Framework-aware code suggestions | Not supported |
| Dedoose / NVivo / Atlas.ti export | Native formats | Copy/paste |
| Participant de-identification | Auto-redact names, places, dates | Raw text |
| Citation extraction from papers | DOI, BibTeX, RIS | Not supported |
| Cross-paper concept graphs | Semantic linking | Per-paper summary |
| IRB / BAA / DPA support | Available on Business | Standard ToS |
| Long-session support (workshops, fieldwork) | Up to 15 hrs | 30 min |
| Multilingual interview support | 100+ languages | ~30 languages |
“I had 48 hours of qualitative interviews from my dissertation fieldwork. Transcribing by hand would have eaten three months. Distill gave me Dedoose-ready transcripts with my coding framework applied in two weeks.”
Dr. Amara O.
PhD candidate, sociology
“The concept graph across 280 papers in my lit review was genuinely revelatory. I saw methodological overlaps between sub-fields I'd missed entirely in my initial read-through.”
Luca B.
Postdoc, cognitive neuroscience
“I run a small qualitative lab. Distill is the first tool I'd actually trust for IRB-sensitive data — the de-identification pass catches participant names my RAs miss.”
Dr. Hanna R.
Assistant professor, HCI
ChatGPT and generic transcribers miss the details that matter. Distill was built for your workflow.
Qualitative research needs the ums, the pauses, the repairs. Generic AI tools 'clean up' the transcript and destroy the data. Distill preserves it by default with a cleanup toggle for when you don't need it.
Tell Distill you're using Braun and Clarke thematic analysis and it suggests codes in that framework. Tell it you're doing IPA and it surfaces phenomenological themes. Your framework stays intact.
When a paper references Bourdieu 1986, Distill extracts the reference, links it to the DOI, and adds it to a BibTeX-ready file. No hand-scraping reference lists.
Distill offers BAAs, DPAs, and data-residency options. Your interview data is encrypted, isolated, and deletable. Generic consumer AI tools can't offer those guarantees.
Serena's dissertation required 60 semi-structured interviews with participants in four US cities. Fieldwork took eight months. She budgeted another six months to transcribe and code.
She piloted Distill on her first 10 interviews and realized it would save her at least four months. Distill handled verbatim transcription with speaker labels, preserved the hesitations her discourse analysis needed, and applied her three-tier coding framework with 88% inter-rater agreement on manual spot checks.
She finished transcription and first-pass coding in eight weeks instead of six months, with higher consistency than her previous by-hand work. She defended her dissertation on the originally planned timeline and used the reclaimed months to add a second analytic arm the committee loved.
Outcome: Dissertation defended on schedule with 60 interviews transcribed and coded in 8 weeks, 88% IRR, and an additional analytic arm that earned the committee's recommendation for publication.
Pro gives you 15-hour session limits, framework-aware coding, and citation extraction. Business adds BAAs, DPAs, and shared lab workspaces.
Transcription is not research. Coding by keystroke is not analysis. Spend the months you saved on the thinking that only you can do.