How to transcribe › Virtual-Voice-Assistant

How to transcribe Virtual-Voice-Assistant files

Virtual-Voice-Assistant 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 or locate the captured audio from Virtual-Voice-Assistant and upload it.

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 Virtual-Voice-Assistant

“Virtual Voice Assistant is a project that utilizes machine learning and natural language processing to enable users to control their devices using voice commands. Technologies used include TensorFlow, Keras, various Python libraries and RESTful APIs.”

GitHub stars
85
Built in
Python
Category
Voice Assistants

Virtual-Voice-Assistant facts & alternatives →  ·  GitHub ↗

Frequently asked

Can Whipscribe transcribe voice recordings from Virtual-Voice-Assistant?

Yes — any audio or video file Virtual-Voice-Assistant produces can be uploaded directly. Export or locate the captured audio from Virtual-Voice-Assistant and upload it.

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.