Use cases · Media intelligence

Brand mentions and topic trends — from inside the recording, not just the headline.

Paste a podcast episode or YouTube URL. Get the transcript today.

146,086 minutes transcribed across 3,787 recordings · 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 ML training99 languagesREST API + webhooks
Try it on your own recordingfree preview · no signup
  • 146,086 mintranscribed across 3,787 recordings since April 2026, every field
  • ~2 minper hour of audio, measured on production
  • 99languages, speaker labels on every one

At a glance

Field
Media intelligence
Transcribed here
146,086 minutes across 3,787 recordings site-wide since April 2026; this field is not tracked separately yet
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

Built for Media intelligence

What media monitoring looks like after clip libraries.

01

Mention detection

Shipping: watchlist of brand, product, or exec names. Surface every timestamp where a watched term appears across the episode catalog.

02

Key-quote extraction

Shipping: the 3–5 lines most worth pulling into a brief or a share card, with per-word timestamps so producers can cut without scrubbing.

03

Topic trend lines

Shipping: week-over-week topic frequency. What did hosts in your industry actually talk about this week — not what PR press releases said they should have.

04

API for newsroom stacks

REST API + webhook on job complete. Feed your Slack alerts, CMS drafting, or internal dashboards directly from the transcription pipeline.

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

Asked before the first upload.

How fast is it?

A one-hour recording is usually ready in about two minutes; most files finish in under a minute. Processing runs on our own servers, not a queue you wait in.

Is my audio private?

Yes. Transcription runs on our private infrastructure, nothing is sent to a third-party AI service, and your uploads are never used for training. Delete audio and transcript at any time from the file page.

What does it cost?

Preview any transcript instantly with no signup. Credit packs start at $8 for 1,000 minutes and never expire; there is no seat fee, so a small team can share one account.

Paste an episode. See what they said.

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