Launching today
ContextSlim: Token Reduction Toolkit
Compress 100k-char docs by 90% and boost AI accuracy by 200%
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Compress 100k-char docs by 90% and boost AI accuracy by 200%
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Stop wasting AI tokens on long doc noise. ContextSlim is an automated prompt & no-code workflow system designed to strip headers, footers, and fluff from huge PDFs before feeding them to Claude or GPT-4o. Prevent memory dropouts, eliminate hallucinations, and cut API costs. What's Inside: • 3-Filter Compression Framework (Clean, Structure, Compress) • Battle-tested System Prompts for zero-hallucination processing • Automated Make/Zapier workflow blueprints for hands-off batch runs
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Launch Team
Framer AI AgentsDesign and publish professional sites with AI
Promoted
Hey Product Hunt community! 👋
I’m Shirakam, creator of ContextSlim: Token Reduction Toolkit.
As an avid AI user, I hit a wall every time I fed 100k+ character PDFs into Claude or GPT-4o: constant memory dropouts, wild hallucinations, and wasted API tokens. Sound familiar?
The issue isn’t the AI—it's the token clutter (headers, footers, legal fluff, and raw text noise). Modern LLMs lose detail in the middle of long prompts.
That’s why I built ContextSlim.
It’s a complete system designed to:
Cut token noise by 90% using a 3-Filter Compression Framework.
Eliminate hallucinations by isolating key metrics & semantic logic.
Automate everything via hands-off Make/Zapier blueprints.
I’d love to hear your thoughts! What’s your biggest bottleneck when processing long documents with AI?