Nicheloom

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Ownscribe

local meeting transcription, summarization and search

Details

External ID
47638532
Source
HN
Company
—
Product
Ownscribe
Website domain
github.com
Launched
April 4, 2026
Cohort
—
Upvotes
18
Upvotes percentile
0.7326478149100257
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

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!

Enrichment

Theme
AI voice recorders and meeting notetakers
Vertical
Horizontal
Function
Content generation
Audience
B2B
AI stance
AI feature
Project type
Commercial product
Normalized one-liner
meeting transcription and search for local teams
Manually corrected
False

Could you build this?

Yes It is a Python CLI tool integrating established local models like Whisper and Ollama/llama.cpp for transcription, summarization, and vector search.

Discussion

No comments on this launch.

Competitors

Other products that read as similar to this one — 76 launches clear the similarity bar, closest 8 shown.

Attention rank: #38 of 77 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 134 days after the earliest competitor.

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