JinaClip
Professional-grade, local-first browser extension that transforms any webpage into high-fidelity, LLM-friendly Markdown entirely within the browser's runtime. Zero-cloud, privacy-centric, and designed specifically for AI workflows.
- ai-workflows
- browser-extension
- chrome-extension-
- clipboard-api
- dom-parsing
- es6
- jina-ai-jina-reader
- llm-friendly
- local-first
- markdown-converter
- mv3
- privacy-centric
- productivity-tool
- shadow-dom
- web-scraper
- Stars
- 1,181
- Forks
- 0
- + today
- +3
- Created
- 5mo
Ranking data as of October 21, 2026 (UTC).
Star History
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Overview
Professional-grade, local-first browser extension that transforms any webpage into high-fidelity, LLM-friendly Markdown entirely within the browser's runtime. Zero-cloud, privacy-centric, and designed specifically for AI workflows. It ranks #402 on GitTiger, gaining +3 stars on October 21, 2026 (UTC).
The project is written in JavaScript. It was created 5mo ago.
What it is
JinaClip is a JavaScript browser extension. Its description calls it local-first and privacy-centric, and the tags mention Chrome and MV3. The metadata lists MIT as the license.
Capabilities described
The description says it transforms any webpage into high-fidelity, LLM-friendly Markdown entirely within the browser's runtime, with zero cloud use, for AI workflows. The README preview presents a comparison with a cloud reader, claiming local processing, no rate limits, no cost and Shadow DOM support.
Getting started
No installation steps were supplied. Consult the repository README for setup details.
git clone https://github.com/AhmadHassan-BTed/JinaClip.git
cd JinaClip
# see README for setupFrequently Asked Questions
What does JinaClip output?
LLM-friendly Markdown converted from a webpage, per the description.
Is the page content sent to a cloud service?
The description says conversion happens entirely within the browser's runtime, with zero cloud.
Does it handle Shadow DOM?
The README preview lists Shadow DOM as supported.
How do I install it?
Installation steps were not supplied. Check the repository README.