Feed AI the Perfect Context.
Any web page to clean Markdown. Built for ChatGPT, Claude, Obsidian, Notion.
- 60–80%
- less context
- 50+
- concurrent tabs
- 0
- data uploaded
- 100%
- local
Why BulkMD
Made to feed AI clean context.
Six tools. Zero fluff. We use every one of them daily.
60–80%
less context
More signal per prompt budget.
Markdown ships 60–80% smaller than raw HTML. Your prompt budget goes to content, not markup.
Sample: en.wikipedia.org/wiki/Markdown — typical reduction.
0
reformatting
Drops cleanly into your second brain.
Headings, tables, code, links. Pastes clean into Obsidian, Notion, Logseq.
- ○Obsidian
- ▤Notion
- ◆Logseq
- ⌥GitHub
- ▢.md vault
50+
concurrent tabs
A list of URLs in, a zip out.
Paste URLs. Tune concurrency. Walk away. Comes back as one zip — even if the browser restarts.
▍ 6/50 tabs · 2s delay · auto-close
Conversion stays in your browser.
No telemetry. No account. No upload.
Article view, powered by Mozilla.
Or flip to Full Page for raw HTML-to-MD.
Active tab → clipboard, in < 1s.
Branded download as .md or .txt too.
What you save
Stop burning tokens on HTML noise.
Most of an HTML page is markup the model never reads. BulkMD strips it. Same content. Tiny fraction of the cost.
What gets sent today
Tags, scripts, nav, ads
What the model actually needs
Headings, prose, links, code
Of your context budget — recovered
0%
Cost saved per page
$0.00
from $0.45 to $0.03
Tokens freed
0
from 45,000 to 3,200
Smaller payload
0.0×
fits in the same prompt window
Now scale it
1,000 pages a month → $0 saved. 0.0M tokens recovered.
Integrations
Drops into the tools you already use.
Plain Markdown. Pastes anywhere Markdown is read.
ChatGPT
Paste-ready context
Claude
200K-window friendly
Obsidian
Native .md vault
Notion
Clean import paste
Logseq
Outliner-compatible
GitHub
Issue / wiki ready