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You can check out the results on our demo site here! Machine Learning – WhisperĪs mentioned above, OpenAI released Whisper recently which is a general-purpose speech recognition model. In the rest of this post, I will describe the toolchain I used to build the A/VSearch CLI, an integrated command line for generating and indexing transcripts from a YouTube channel or playlist. Fortunately for us, at almost the exact same time, the team at OpenAI released a new neural network called Whisper for automatic speech recognition. We’ve tried to do this in the past using YouTube’s captioning capabilities with mixed results. This meant indexing the transcripts of the videos. I wanted to be able to help developers find the exact spot in the video that matched their search.

I knew I wanted the videos to be searchable by title and description and discoverable by category, but I wanted to do more.

The theme of our 2022 Algolia Developer Conference was “Index the world and put your data in motion” so naturally, as soon as the last video was uploaded to YouTube, talk turned to how we could put all of this great new content in motion for our customers.

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