How to transcribe › awesome-diffusion-v2v

How to transcribe awesome-diffusion-v2v recordings

awesome-diffusion-v2v 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 your cut from awesome-diffusion-v2v — or upload the source clip directly; there's no need to strip the audio first.

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 awesome-diffusion-v2v

“Awesome diffusion Video-to-Video (V2V). A collection of paper on diffusion model-based video editing, aka. video-to-video (V2V) translation. And a video editing benchmark code.”

GitHub stars
290
Built in
Python
Category
Video Editing

awesome-diffusion-v2v facts & alternatives →  ·  GitHub ↗

Frequently asked

Can Whipscribe transcribe video projects edited in awesome-diffusion-v2v?

Yes — any audio or video file awesome-diffusion-v2v produces can be uploaded directly. Export your cut from awesome-diffusion-v2v — or upload the source clip directly; there's no need to strip the audio first.

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.