Use cases · Academia

Transcripts for research that respects privacy.

Research interviews, focus groups, seminars, lectures — transcribed on private Whisper. 99 languages, per-word timestamps, no third-party ML training on your data.

176 minutes of academia recordings already transcribed here · first transcript free, any length · ~2 min per hour of audio · 99 languages · speaker labels on every file · private, never used for training

Private Whisper, no third-party sharing99 languagesUp to 10 hours or 5 GB per file
Try it on your own recordingfree preview · no signup
  • 176 minof academia recordings transcribed by users here, across 15 files
  • ~2 minper hour of audio, measured on production
  • 99languages, speaker labels on every one

At a glance

Field
Academia
Transcribed here
176 minutes across 15 academia recordings, out of 146,086 minutes site-wide since April 2026
Turnaround
About 2 minutes per hour of audio; most files under a minute
Input
Any audio or video file, YouTube, podcast or RSS link; up to 10 hours or 5 GB
Output
Speaker labels, word timestamps, summary, AI chat; TXT, SRT, VTT, DOCX, JSON
Languages
99, with automatic detection
Privacy
Private servers, no third-party AI, never used for training, delete any time
Price
First transcript free at any length; second $0.99; then credit packs from $8 for 1,000 minutes, never expire
Researcher taking notes at a library study desk

Built for Academia

What qualitative researchers actually need.

01

Private-by-default processing

Open-source Whisper on private infrastructure. Audio and transcripts never sent to OpenAI, Google, or any third-party transcription service. We do not train models on your uploads. Delete files at any time.

02

Citeable timestamps

Per-word and per-segment times ship in every export. Cite by timestamp in your paper, and a reader can jump back to the exact second of the recording.

03

Multi-participant speaker labels

Focus groups, committee meetings, panel seminars — per-turn speaker labels. Rename once; the transcript updates everywhere.

04

99 languages for fieldwork

Arabic, Hindi, Mandarin, Swahili, Portuguese, Russian — 99 via Whisper. Transcribe in source language; optional English translation side-by-side for analysis.

How it works

Drop it, read it, export it.

Step 1

Drop or paste

A file, a YouTube link, a podcast link or an RSS feed. Up to 10 hours or 5 GB.

Step 2

Read in a minute

Speaker labels, timestamps, a summary and AI chat over the transcript. Click any line to hear it.

Step 3

Export

TXT, SRT, VTT, DOCX or JSON. Every file stays in your library, deletable any time.

Questions

FAQs for academic researchers.

Is Whipscribe IRB-friendly?

It depends on your protocol. Private Whisper, no third-party sharing, no model training on uploads. If your IRB requires a BAA or specific data-processing agreement, email contact@neugence.ai before uploading.

Can I cite a specific timestamp?

Yes. Every transcript ships with per-word timestamps across TXT, DOCX, SRT, VTT, and JSON exports.

Does it handle 3-hour lectures or long focus groups?

Yes — up to 10 hours or 5 GB per file (3 hours before you buy credits). One upload, one job.

Skim the recording. Keep the privacy.

Your first transcript is free at any length; leave an email to open it. Packs from $8 for 1,000 minutes after that; credits never expire.

Drop a recordingfree preview · no signup