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How to transcribe talk-python-transcripts recordings

talk-python-transcripts makes the recording — Whipscribe makes it text. Three steps, and the first preview is free with no signup.

The three steps

1

Get the audio out. Export or download the episode audio from talk-python-transcripts as WAV or MP3 — the edited master or a raw session both work.

2

Drop it below. Upload the file right here — no signup for the instant preview. Long, multi-hour files are fine, and video uploads work too (we transcribe the audio track).

3

Take the text with you. Accurate, speaker-labeled text with timestamps — export TXT, SRT, VTT or DOCX, in 100+ languages, processed on Whipscribe's own private cloud.

About talk-python-transcripts

“Transcripts for the Talk Python To Me episodes.”

GitHub stars
151
Category
Podcasting

talk-python-transcripts facts & alternatives →  ·  GitHub ↗  ·  Website ↗

Frequently asked

Can Whipscribe transcribe podcast audio produced with talk-python-transcripts?

Yes — any audio or video file talk-python-transcripts produces can be uploaded directly. Export or download the episode audio from talk-python-transcripts as WAV or MP3 — the edited master or a raw session both work.

Do I need to convert the file first?

No. Common audio and video formats upload as-is; video's audio track is transcribed automatically.

How accurate is it?

Clear speech in major languages comes back near-publishable; noisy or heavily accented audio deserves a review pass. The instant preview shows real output before you commit.

What does it cost?

About $2 per audio hour as pay-as-you-go credits that never expire — the first preview is free with no signup.