KMac🍌 ⏩ pfp
KMac🍌 ⏩
@kmacb.eth
JMac has a 1hr 30m audio file & needs to be transcribed word for word. Sensitive content shouldn’t be in public domain. What service would you use to accomplish this? Extra credit for lowest cost.
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Chris (frametra.in) pfp
Chris (frametra.in)
@chrisdom
tell JMac to use this: https://github.com/chidiwilliams/buzz - works using OpenAI's Whisper model - open source and local/offline - can be installed using `brew install --cask buzz` (free)
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KMac🍌 ⏩ pfp
KMac🍌 ⏩
@kmacb.eth
🙏🙏will check this out & pass it along. 💜
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