How I Automated My Podcast Transcript Production With Local AI
SMRTR summary
A solo podcaster created roboscribe, an automated system using local AI models to streamline transcript production. The tool transcribes audio, identifies speakers, and cleans up text, processing an hour-long episode in about 15 minutes. Running on a high-powered computer with dual GPUs, it utilizes open-source speech-to-text and language models. While not flawless, it produces transcripts that are 80% ready for publication, significantly reducing manual editing time and improving production efficiency.
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