How to transcribe › drum-machine

How to transcribe drum-machine recordings

drum-machine 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. Render or bounce the track from drum-machine to WAV or MP3 (usually File → Render/Export/Bounce) — spoken-word stems, podcast edits and voiceovers all transcribe cleanly.

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 drum-machine

“A drum machine application, built with Python, GTK4, libadwaita.”

GitHub stars
150
Built in
Python
Category
Music Production

drum-machine facts & alternatives →  ·  GitHub ↗  ·  Website ↗

Frequently asked

Can Whipscribe transcribe sessions and voice tracks from drum-machine?

Yes — any audio or video file drum-machine produces can be uploaded directly. Render or bounce the track from drum-machine to WAV or MP3 (usually File → Render/Export/Bounce) — spoken-word stems, podcast edits and voiceovers all transcribe cleanly.

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.