How to transcribe opensource-clipping recordings
opensource-clipping 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 opensource-clipping 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 opensource-clipping
“🎬 Ultimate AI Auto-Clipper — Transform long-form videos & podcasts into viral shorts! Features smart face-tracking, kinetic karaoke subtitles, contextual B-roll, AI voice-overs, and auto-uploaders (YouTube/FB). Powered by Whisper, Gemini, MediaPipe, & Pyannote.”
opensource-clipping facts & alternatives → · GitHub ↗ · Website ↗
Frequently asked
Can Whipscribe transcribe podcast audio produced with opensource-clipping?
Yes — any audio or video file opensource-clipping produces can be uploaded directly. Export or download the episode audio from opensource-clipping 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.