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Meeting Notes & Transcription

Tools that capture and summarize meetings. The ones at the top tell you the most about how they work — what they were trained on, where your data goes, and who built them.

Top 6 of 6

Updated 5/26/2026

  • 1
    Whisper· OpenAI

    Whisper is an automatic speech recognition (ASR) system developed by OpenAI. It is a state-of-the-art model trained on a large dataset of diverse audio to perform tasks such as multilingual speech recognition, speech translation, and language identification. Whisper is designed to be robust to accents, background noise, and technical language. It is available as an open-source model, allowing developers to integrate it into applications for transcription, translation, and other speech-related tasks.

    95%
  • 2
    Fathom· fathom.ai

    Fathom is an AI-powered meeting assistant designed to automatically record, transcribe, highlight, and summarize meetings across platforms like Zoom, Google Meet, and Microsoft Teams. It integrates with CRM systems (e.g., Salesforce) and productivity tools (e.g., Notion, Slack) to streamline workflows. Fathom also offers features like action item tracking, speaker separation, and customizable summaries. The tool is primarily targeted at professionals, sales teams, and businesses to improve meeting efficiency and documentation.

    65%
  • 3
    Fireflies.ai· Fireflies.ai

    Fireflies.ai is an AI-powered meeting assistant that automates note-taking, transcription, and analysis of voice conversations. It integrates with popular video conferencing platforms like Zoom, Google Meet, and Microsoft Teams to record, transcribe, and generate summaries of meetings. The tool uses natural language processing (NLP) to identify action items, keywords, and sentiments, and it allows users to search and share meeting insights. Fireflies.ai also offers collaboration features, such as comment threads and topic tracking, to enhance team productivity.

    65%
  • 4
    Leexi· Leexi

    Leexi is an AI-powered conversation intelligence and meeting assistant platform designed to analyze, transcribe, and extract insights from voice and video conversations. It uses natural language processing (NLP) and machine learning to provide real-time transcription, sentiment analysis, action item tracking, and compliance monitoring for sales, customer support, and internal meetings. Leexi integrates with popular communication tools like Zoom, Microsoft Teams, and Google Meet to enhance productivity and ensure regulatory compliance in conversational data.

    65%
  • 5
    Riverside.fm AI· Riverside

    Riverside.fm AI is an advanced feature set integrated into the Riverside.fm platform, a professional-grade remote recording and podcasting tool. Riverside AI leverages artificial intelligence to enhance audio and video production workflows, offering capabilities such as automatic transcription, audio enhancement, noise removal, and smart editing. The AI tools are designed to streamline post-production processes, improve content accessibility, and provide insights through transcription and captioning. Riverside.fm is widely used by podcasters, journalists, and content creators for high-quality remote recordings, and the AI features augment these capabilities with automation and intelligence.

    60%
  • 6
    tl;dv (Too Long; Didn't View)· tldv

    tl;dv is an AI-powered meeting assistant designed for remote and hybrid teams. It automatically records, transcribes, and summarizes meetings across platforms like Zoom, Google Meet, and Microsoft Teams. The tool offers features such as real-time transcription, AI-generated summaries, highlight reels, and integrations with CRM and productivity tools (e.g., Slack, Notion, Salesforce). It aims to improve meeting efficiency, collaboration, and knowledge retention by providing searchable, shareable, and actionable insights from meeting content.

    50%
How we picked these +−

We give every AI a score out of 100 based on how much it shares about itself. We look at five things:

  • Who else is involved — does it tell you which other companies handle your data?
  • Rules it follows — has it been checked against laws and standards?
  • What it tells users — does it have a clear privacy policy, terms, and security promises?
  • How it works — does it explain what it was trained on and how it was built?
  • Doing the right thing — does it have rules about safe and fair use?

An AI has to share at least half of this to make the list. We rank by score. If two AIs tie, the more popular one wins. Each company can only show up once per list.

We get this information from what companies share publicly, the EU Open Source AI Index, and our own catalogue. Nobody pays to be on this list.