How to transcribe › memory-opensource

How to transcribe memory-opensource files

memory-opensource 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 memory-opensource 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 memory-opensource

“Predictive memory layer for AI agents. MongoDB + Qdrant + Neo4j with multi-tier caching, custom schema support & GraphQL. 91% Stanford STARK accuracy, <100ms on-device retrieval.”

GitHub stars
74
Built in
Python
Category
Voice Assistants

memory-opensource facts & alternatives →  ·  GitHub ↗  ·  Website ↗

Frequently asked

Can Whipscribe transcribe voice recordings from memory-opensource?

Yes — any audio or video file memory-opensource produces can be uploaded directly. Export or locate the captured audio from memory-opensource 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.