AI transcription built for serious research.
Transcribe interviews, expert panels, conference talks, and field recordings with speaker identification, per-line timestamps, and a searchable library you can chat with.
No credit card required · 3 free transcriptions every month
- Speaker identification for interviews
- Per-line timestamps for verifiable quotes
- Folder-level AI chat across a study
- Export DOCX for analysis software
- 50+ languages auto-detected
- Your data is never used to train AI
A research-friendly transcription workflow
Qualitative research lives and dies by the interview transcript. Done well, transcripts unlock coding, theming, and credible citations. Done badly, they're a wall of unstructured text with no timestamps and no way to find anything weeks later.
QuickScriber is built around the workflow real researchers actually use: speaker-tagged transcripts, per-line timestamps, folder-based organization for studies and projects, and an AI chat layer you can use to interrogate a whole corpus of interviews when patterns aren't obvious from coding alone.
How it works
- 01
Upload or paste each interview
Upload recorded interviews directly (MP4, MOV, MP3, M4A, etc.), or paste public URLs of panels, talks, and YouTube interviews.
- 02
Organize by study or theme
Create a folder per study, sub-study, or theme. Drop transcripts in as they're produced — your corpus self-organizes.
- 03
Search, code, and chat
Search by phrase across the whole study, export to DOCX for your coding software, or chat with a folder to surface cross-interview themes.
What you get
Speaker identification
Interviewer and interviewee (or multiple respondents) are automatically tagged. Cleaner transcripts mean faster coding.
Per-line timestamps
Every line is timestamped, so any quote you pull is verifiable and citation-ready.
Folder-level AI chat
Ask 'what do respondents say about trust?' across an entire study. Answers include source lines with timestamps.
DOCX export for analysis
Export transcripts to DOCX for use in NVivo, MAXQDA, Dedoose, ATLAS.ti, or any qualitative coding workflow.
Multi-language research
Automatic detection across 50+ languages — useful for international, comparative, and multilingual studies.
Privacy you can defend in an IRB
Your transcripts are private to your account, never used to train AI, and uploaded source files are removed after processing.
Who uses it
Qualitative interview studies
Run a study with dozens of semi-structured interviews. QuickScriber transcribes and organizes them; you focus on analysis.
Expert panels and conferences
Capture panel discussions and conference talks (your own recordings or public YouTube uploads) into a searchable archive.
Field research and observational notes
Record on a phone, upload the file, transcribe with timestamps, and turn raw audio into structured field notes in minutes.
Literature-and-video reviews
Build a folder of recorded talks and lectures around a topic, then chat with the folder to identify the strongest sources to cite.
Why not a generic transcription tool?
General transcription tools usually optimize for short voice notes and meetings. They struggle with multi-speaker long-form audio, don't give you a real library, and don't have the AI-chat layer that turns a corpus of interviews into something you can actually interrogate.
QuickScriber is built for content that lives longer than a single use. Every transcript is timestamped, every folder is searchable, and every export plays nicely with the analysis software qualitative researchers already use.
Frequently asked questions
Can QuickScriber handle multi-speaker interviews?
Yes. Speaker identification tags each speaker so transcripts are easier to read and faster to code.
Does QuickScriber meet privacy / IRB requirements?
QuickScriber processes uploads securely, removes source files after processing, and never trains AI on your data. Specific IRB requirements vary; check with your institution before uploading sensitive content.
Can I export transcripts to use in NVivo or MAXQDA?
Yes. Export to DOCX or plain text and import directly into NVivo, MAXQDA, ATLAS.ti, Dedoose, or any other qualitative coding software.
How accurate is it for academic interviews?
Up to 99.5% on clear audio. We recommend a quick review pass for technical or domain-specific terms, and every transcript is fully editable.
Do you support non-English interviews?
Yes — 50+ languages with automatic detection. Comparative and international studies are well supported.
Is there a research / academic plan?
Start with the free plan to evaluate quality, then move to Pro for serious projects. For larger lab-scale needs, get in touch via our contact page.
Related guides
Transcribe research interviews — start free.
Upload your next interview, get a speaker-tagged transcript in minutes, and build a searchable corpus.