How to transcribe deer-flow recordings

deer-flow 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 or download the episode audio from deer-flow as WAV or MP3 — the edited master or a raw session both work.

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 deer-flow

“An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.”

GitHub stars

80,419

Built in

Python

Frequently asked

Can Whipscribe transcribe podcast audio produced with deer-flow?

Yes — any audio or video file deer-flow produces can be uploaded directly. Export or download the episode audio from deer-flow as WAV or MP3 — the edited master or a raw session both work.

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.