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MassReplaceIt

• John

I’ve written about my exploration of Whisper by OpenAI for converting spoken audio into text before. The transcriptions are good. In fact, they’re better than any other transcription app I’ve tried, but it still makes too many mistakes to create a publishable transcript. As I wrote in the Monthly Log, it’s this last 10% of cleanup and other steps necessary to create a presentable and usable transcript that is a bigger hurdle than the speed of running Whisper on a Mac’s CPUs, which is slow.

What’s nice about computers, though, is that the mistakes they make are consistent. For example, if Whisper trips over my name or calls Mastodon ‘Master Don,’ it’s likely that it will do so again in the future. As I created a few test transcripts, attempting to reduce the production time as much as possible, I began to notice Whisper’s most common mistakes and make a list of them.