How to transcribe podcast-feed-parser recordings
podcast-feed-parser makes the recording — Whipscribe makes it text. Three steps, and the first preview is free with no signup.
The three steps
Get the audio out. Export or download the episode audio from podcast-feed-parser as WAV or MP3 — the edited master or a raw session both work.
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).
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 podcast-feed-parser
“A highly customizable package for fetching and parsing podcast feeds into simple and manageable JavaScript objects. For use with node or in the browser.”
podcast-feed-parser facts & alternatives → · GitHub ↗
Frequently asked
Can Whipscribe transcribe podcast audio produced with podcast-feed-parser?
Yes — any audio or video file podcast-feed-parser produces can be uploaded directly. Export or download the episode audio from podcast-feed-parser 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.