Use cases · Journalism

Verbatim transcripts for journalism.

Quote people accurately. Label every speaker in multi-speaker recordings.

1,158 minutes of journalism 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

Verbatim by defaultWord-level timestamps99 languages
Try it on your own recordingfree preview · no signup
  • 1,158 minof journalism recordings transcribed by users here, across 30 files
  • ~2 minper hour of audio, measured on production
  • 99languages, speaker labels on every one

At a glance

Field
Journalism
Transcribed here
1,158 minutes across 30 journalism 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
Newspaper and notebook on a reporter's desk

Built for Journalism

Four things a reporter actually needs from a transcription tool.

01

Verbatim fidelity

Ums, overlaps, and "uh"s stay in. You can clean afterwards, but the source-of-truth output is faithful. Word-level timestamps let you hear any moment before you quote it.

02

Multi-speaker labels

Speaker 1, Speaker 2, Speaker 3 labels on every turn. Rename once, the whole transcript updates. Works on Zoom exports, phone recordings, and single-mic room captures.

03

Off-the-record tagging

Highlight any range and tag it off-the-record. Excluded from exports by default. Your editor sees clean copy; your notes keep everything.

04

99 languages

Arabic, Hindi, Mandarin, Spanish, French, Portuguese, Ukrainian, Russian — 99 via Whisper. Transcribe in source language, optionally output an English translation alongside.

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 journalism workflows.

Is Whipscribe verbatim or cleaned up?

Verbatim by default. Ums, uhs, false starts, and overlapping speech are preserved. You clean or redact afterwards; the source transcript stays faithful.

Can you handle multi-speaker interviews?

Yes. Speaker labels mark Speaker 1, Speaker 2, etc. on every turn. Rename once; the whole transcript updates.

How do I mark something off-the-record?

Tag a range as off-the-record in the editor — it stays visible to you but excluded from exports by default. Delete files + audio anytime.

Record once. Quote accurately.

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