Building a Google Meet transcription bot: step-by-step API integration with real-time captions

Building a Google Meet transcription bot involves audio capture using Playwright and integrating with a real-time speech-to-text (STT) API, which can be accomplished in under a week. The process requires careful consideration of unit economics and the selection of an STT engine that maintains accuracy with accented speakers, manages language switches, and offers predictable pricing. The bot's architecture consists of a capture layer that joins meetings and routes audio, and a transcription layer that processes and returns formatted transcripts with speaker labels and language tags. Challenges include handling network issues, browser updates, and STT engine limitations like hallucinations and accuracy regressions. The guide also explores bot-based and bot-free options for capturing audio, emphasizing the benefits of using managed APIs or headless browsers for efficiency. The STT engine evaluation focuses on multilingual accuracy and cost, noting that benchmarks should be based on real-world audio conditions. The Gladia Solaria-1 model, which covers over 100 languages and handles code-switching, is highlighted for its robust transcription capabilities. Additionally, the importance of data governance and pricing predictability is discussed, emphasizing the need to understand the total cost of ownership and the implications of add-on pricing at scale.

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