Trim JSON, console logs, and clipboards down to fit any context window.
Free. No signup. Runs entirely in your browser — your data never leaves the tab.
Why it exists
Three small problems that waste a lot of time.
Context windows are tight.
You want to paste a large API response into Claude or GPT, but it exceeds the context limit. LLM Chef trims string fields, collapses deep arrays, and removes excess properties — keeping the structure intact so the model understands the shape.
Clipboards carry noise.
Copy something from Google Docs or Notion and you end up with 50× more HTML than text. The Clipboard Inspector shows you exactly what you are about to paste — and lets you strip it down to the plain version.
Console logs hide real errors.
React stack traces bury your actual error under 40 lines of react-dom internals. Console Cleanup removes the framework noise and surfaces only your application frames.
Before / after
What 90% reduction looks like.
JSON — before
{
"description": "Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco...",
"embeddings": [0.023, -0.117, 0.452, 0.891, ...(1536 values)]
}JSON — after
{
"description": "Lorem ipsum dolor sit amet, consectetur adipiscing elit...[truncated]",
"embeddings": [0.023, -0.117, 0.452, 0.891, "... [1532 more items] ..."]
}Questions
No. All processing happens entirely in your browser using JavaScript. Your JSON, logs, and clipboard contents never touch a server. There are no network requests, no logging, and no analytics attached to your input.
The file drop accepts files up to 5 MB. For larger payloads, paste directly into the textarea — there is no paste size limit in the tool itself, though very large inputs (> 10 MB) may slow down your browser.
All modern browsers (Chrome, Firefox, Safari, Edge). The Clipboard Inspector uses the Async Clipboard API which requires HTTPS or localhost and a browser permission grant — Chrome supports it most completely.
LLM Chef is a small utility we built for our own workflows and decided to share. We make our money from River, the full AI workspace. If you find this useful, take a look at what River can do.
River is an AI workspace that connects your email, files, and tools so you can chat with your data, run automations, and get actual work done with AI. LLM Chef is a taste of the kind of developer-focused tooling we build.
Built for developers, by the team at River.
River is the AI workspace that connects your email, documents, and tools. If you like LLM Chef, you might like what River does with all your context.