3 items
Instantly Copy selected web content, HTML tables, and text into clean Markdown for LLM prompts, notes and documentation. Stop wrestling with messy rich-text pastes and broken web tables. CopyDown instantly turns any selected web content into clean structured Markdown with a single keyboard shortcut (Alt+C). Whether you're feeding web research into an LLM, building documentation, or clipping articles into Obsidian or Notion, CopyDown keeps your clipboard pristine and token efficient. Key features: -Clean Table Conversion: Automatically transforms complex HTML tables into clean GitHub Flavored Markdown (GFM) pipe tables. -Custom Prompt Prefixes: Automatically prepends your favorite LLM prompts (ex. "Summarize the following snippet...") to your copied text. -Smart URL Toggling: Keep links for research, or strip them out with one click to cut clutter and save valuable LLM token space. -Source Tracking: Optionally append the page title and source URL to keep your notes referenced and verifiable. -Non-intrusive and Fast: Instant visual confirmation toast on copy, with no extra clicks required. Built For: -AI and LLM Users: Copy clean context directly into ChatGPT, Claude, or local LLM prompts without mangled formatting or unnecessary web markup. -Software Developers: Easily clip stack overflow answers, technical documentation, or code snippets straight into GitHub issues, PRs, or developer docs. -Note Takers and Researchers: Seamlessy pull clean text and formatted tables into Obsidian, Notion, Roam, or local .md files.
Aug 9, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.