Ownscribe – local meeting transcription, summarization and search
ownscribe is an open-source, python-based CLI tool to transcribe, summarize, and search meetings – fully locally on your machine. As someone who hates taking notes, but also forgets things easily, I found the idea of transcribing and summarizing meetings automatically neat. However, all the existing tools out there store everything on their servers, don't work with every type of meeting, and cost $30/month or more. I wanted a tool that just runs locally and uses a very simple format (like .md) to integrate with my other workflows – but there wasn't anything like that. That's why I…
In plain words
Ownscribe is an open-source Python CLI tool that transcribes, summarizes, and searches meetings entirely on your local machine without uploading data to servers. Designed for users who want to avoid manual note-taking, it stores transcriptions in simple markdown format for easy integration with other workflows. The tool supports natural language search of past meetings using a local language model and works across different meeting types, offering functionality comparable to commercial services without monthly subscription costs.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
ownscribe is an open-source, python-based CLI tool to transcribe, summarize, and search meetings – fully locally on your machine. As someone who hates taking notes, but also forgets things easily, I found the idea of transcribing and summarizing meetings automatically neat. However, all the existing tools out there store everything on their servers, don't work with every type of meeting, and cost $30/month or more. I wanted a tool that just runs locally and uses a very simple format (like .md) to integrate with my other workflows – but there wasn't anything like that. That's why I started to build ownscribe over the past few months and continuously improved it. It started as just a tool for transcription and summarization, and now even allows you to search past meetings with natural language (and a local LLM). At the moment, it is mainly optimised for macOS (although Linux should also partially work). I'd love to have some more feedback on how to make it more useful!
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