How to transcribe › rtsp_opencv_demo

How to transcribe rtsp_opencv_demo recordings

rtsp_opencv_demo 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. Save the VOD or recording from rtsp_opencv_demo and upload it — long files are expected.

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 rtsp_opencv_demo

“通过rtsp协议拉取前端摄像头码流,通过opencv进行AI处理(如人脸检测),重新生成视频数据,并进行rtsp服务转发,用于后端设备(如视频录像机)或其他客户端拉流。.”

GitHub stars
137
Built in
Python
Category
Video Streaming

rtsp_opencv_demo facts & alternatives →  ·  GitHub ↗  ·  Website ↗

Frequently asked

Can Whipscribe transcribe streams and VODs from rtsp_opencv_demo?

Yes — any audio or video file rtsp_opencv_demo produces can be uploaded directly. Save the VOD or recording from rtsp_opencv_demo 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.