How to transcribe › Big_Honking_Button

How to transcribe Big_Honking_Button recordings

Big_Honking_Button 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 Big_Honking_Button 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 Big_Honking_Button

“A simple Eurorack sampler and performance module in a silly package.”

GitHub stars
60
Built in
Python
Category
Music Production

Big_Honking_Button facts & alternatives →  ·  GitHub ↗  ·  Website ↗

Frequently asked

Can Whipscribe transcribe sessions and voice tracks from Big_Honking_Button?

Yes — any audio or video file Big_Honking_Button produces can be uploaded directly. Render or bounce the track from Big_Honking_Button 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.