How to transcribe › DetectRTC

How to transcribe DetectRTC recordings

DetectRTC 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 the call recording from DetectRTC — both sides on one track is fine; diarization separates the speakers.

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 DetectRTC

“DetectRTC is a tiny JavaScript library that can be used to detect WebRTC features e.g. system having speakers, microphone or webcam, screen capturing is supported, number of audio/video devices etc. https://www.webrtc-experiment.com/DetectRTC/.”

GitHub stars
671
Built in
JavaScript
Category
Calling Voip

DetectRTC facts & alternatives →  ·  GitHub ↗  ·  Website ↗

Frequently asked

Can Whipscribe transcribe calls recorded with DetectRTC?

Yes — any audio or video file DetectRTC produces can be uploaded directly. Export the call recording from DetectRTC — both sides on one track is fine; diarization separates the speakers.

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.