How to transcribe › deadline-cloud-samples

How to transcribe deadline-cloud-samples recordings

deadline-cloud-samples 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 deadline-cloud-samples — 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 deadline-cloud-samples

“Ready-to-run AWS Deadline Cloud samples for rendering (Maya, Blender, Houdini, Nuke); physical AI (robotics, autonomous driving simulation, MuJoCo, CARLA); synthetic data generation; generative AI video; and bioinformatics.”

GitHub stars
42
Built in
Python
Category
Video Editing

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Frequently asked

Can Whipscribe transcribe video projects edited in deadline-cloud-samples?

Yes — any audio or video file deadline-cloud-samples produces can be uploaded directly. Export your cut from deadline-cloud-samples — 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.