Fathom is an AI notetaking platform that records, transcribes, summarizes, and organizes meetings so users can stay focused on the conversation. The platform supports bot-based and bot-free capture, giving individuals and teams flexible ways to capture meeting notes. Fathom provides accurate transcripts, instant summaries, action items, follow-up details, and searchable meeting history. Users can ask questions across meetings, monitor key topics, and turn conversations into next steps for sales, customer success, marketing, and internal teams. Fathom integrates with tools such as Google Meet, Zoom, Microsoft Teams, Gmail, Slack, Salesforce, HubSpot, Notion, Asana, ChatGPT, Claude, Zapier, and public API or MCP workflows. Built for teams and individuals, Fathom helps reduce meeting admin, improve follow-through, and keep important decisions visible.
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Google Cloud’s Speech API processes more than 1 billion voice minutes per month with close to human levels of understanding for many commonly spoken languages. Powered by the best of Google's AI research and technology, Google Cloud's Speech-to-Text API helps you accurately transcribe speech into text in 73 languages and 137 different local variants. Leverage Google’s most advanced deep learning neural network algorithms for automatic speech recognition (ASR) and deploy ASR wherever you need it, whether in the cloud with the API, on-premises with Speech-to-Text On-Prem, or locally on any device with Speech On-Device.
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Voxtral Transcribe 2
Voxtral Transcribe 2 is a next-generation family of speech-to-text models from Mistral AI that delivers ultra-low-latency, high-quality audio transcription and speaker diarization with broad language support. The suite includes Voxtral Mini Transcribe V2, optimized for batch transcription with features such as word-level timestamps, context biasing, and support for 13 languages, and Voxtral Realtime, designed specifically for live, streaming speech recognition with latency configurable down to sub-200 ms for real-time applications. Both models achieve state-of-the-art transcription accuracy while running efficiently and economically, with Mini Transcribe V2 offering leading performance and low error rates, and Realtime available as open source under the Apache 2.0 license so developers can deploy it on edge devices or in private environments.
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