Use cases · Podcasting

Transcripts that multiply every episode.

Every episode becomes searchable text, chapter-able timestamps, and show-notes-ready output. Free instant preview, then credit packs from $8 for 1,000 minutes.

2,301 minutes of podcasting 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

Free instant previewChapter-able timestampsSRT · VTT · DOCX · TXT
Try it on your own recordingfree preview · no signup
  • 2,301 minof podcasting recordings transcribed by users here, across 69 files
  • ~2 minper hour of audio, measured on production
  • 99languages, speaker labels on every one

At a glance

Field
Podcasting
Transcribed here
2,301 minutes across 69 podcasting 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
Podcast studio with a broadcast microphone

Built for Podcasting

What a show actually needs from a transcript.

01

SEO-ready body text

A 45-minute interview becomes ~7,000 words of indexable content. Paste into your episode page and every named entity, question, and topic becomes searchable. Audio alone has no such ceiling.

02

Chapter-able timestamps

Word-level and segment-level timing in every export. Hand-cue chapters or feed the transcript to an LLM for auto-chaptering. Drops straight into YouTube chapter format or Apple Podcasts chapter spec.

03

Show-notes-ready

Clean TXT or DOCX plus a JSON with per-segment times. Paste into Buzzsprout, Transistor, Simplecast, Spotify for Creators, or a WordPress block — the timestamps and speaker labels survive.

04

Guest-aware speaker labels

Host, Guest, Guest 2 labels on every turn. Rename once per episode; transcript updates. Zoom, Riverside, or local multi-mic recordings — same workflow.

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 podcast workflows.

Can I get chapter markers from a transcript?

Yes. Word- and segment-level timestamps ship in every export. Hand-cue or feed the transcript to an LLM for auto-chaptering, then paste as YouTube chapters or Apple chapter-spec.

What does a weekly 60-minute show cost?

About 3,120 minutes a year — one $24 pack of 5,000 minutes covers it.

Do speaker labels handle multi-guest shows?

Yes. Host, Guest, Guest 2 labels on every turn. Rename once, full transcript updates.

Ship the next episode with a transcript.

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