How to transcribe live-stream-face-detection recordings
live-stream-face-detection 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. Save the VOD or recording from live-stream-face-detection and upload it — long files are expected.
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 live-stream-face-detection
“Live Streaming and Face Detection with Flask in Browser.”
live-stream-face-detection facts & alternatives → · GitHub ↗
Frequently asked
Can Whipscribe transcribe streams and VODs from live-stream-face-detection?
Yes — any audio or video file live-stream-face-detection produces can be uploaded directly. Save the VOD or recording from live-stream-face-detection and upload it — long files are expected.
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.