How to transcribe frontend-park recordings
frontend-park 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. Export the call recording from frontend-park — both sides on one track is fine; diarization separates the speakers.
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 frontend-park
“🌸这是一个有趣的前端趣味知识公园~该项目是我平时捣鼓前端相关技术的一些案例集合。【涵盖：（Tensorflow.js-姿态识别，人脸识别），(WebRTC-音视频通话，录屏，虚拟背景，信令服务器)，（Threejs-太阳系，3D 动画），（图片处理-千图成像，图片压缩，画板），（隐写术-文本隐写加密，图片隐写加密）等等...】.”
frontend-park facts & alternatives → · GitHub ↗ · Website ↗
Frequently asked
Can Whipscribe transcribe calls recorded with frontend-park?
Yes — any audio or video file frontend-park produces can be uploaded directly. Export the call recording from frontend-park — 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.