API Comparison Table

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Speech-To-Text

Multilingual transcription: accuracy, language coverage and code-switching in speech-to-text

If you're building a meeting assistant, a contact center platform or a voice agent for global audiences, you probably already deal with multilingual transcription. And you know all too well that everything your product does with the transcript (summaries, action items, etc.) depends on your model getting the words right. When it doesn't, your users are the ones who eventually see them. 

Speech-To-Text

Building vertical AI notetakers: What sales, recruitment, healthcare and financial advice tools need to get right

We're all familiar with the horizontal players in the AI notetaker market. Granola, Fireflies, Fathom, and others. But, because we've mapped this market, we know the vertical players, too. There are more of them than ever, and if you ask us, they’re some of the most exciting products in this market. That’s because they solve one specific problem, for one specific profession, very well.

Speech-To-Text

AI notetaker market 2026: funding, acquisitions and what comes next

AI notetakers are one of the most interesting categories in software right now. To map it, we evaluated hundreds of vendors' products and surveyed 2,000+ end users about the tools they’re currently using.

Ebook: Ultimate guide to using LLMs with speech recognition

Published on Jan 7, 2025
Ebook: Ultimate guide to using LLMs with speech recognition

Large Language Models (LLMs) have enabled businesses to build advanced AI-driven features, but navigating the many available models and optimization techniques isn't always easy.

If you’re looking to combine speech recognition (STT) and LLMs for cutting-edge voice apps, look no further! Our ultimate guide is finally here, and it’s filled with valuable strategies and hands-on insights from our work with hundreds of audio-first companies and extensive interviews with experts in AI note-taking, sales enablement and customer support.

What you'll learn:

  • The pros and cons of open-source vs proprietary models;
  • Best practices for optimizing LLM performance;
  • Key metrics and indicators to measure the success of STT systems;
  • A checklist for evaluating LLM and STT vendors for voice apps
  • ... and much more!
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