Reduce wasted AI tokens before they hit your API bill.
TokenTrim helps developers, prompt engineers, AI agents, and founders analyze prompts, detect waste, estimate savings, and clean prompts before using ChatGPT, Claude, Gemini, or any AI API.
Problem
AI workflows become expensive when prompts include repeated instructions, old chat history, noisy RAG context, unclear task goals, and oversized payloads.
How TokenTrim Works
Paste a prompt, choose a provider, review estimated token waste, then copy a cleaned prompt before using an AI API.
Features
TokenTrim includes prompt input, provider selection, token estimates, waste detection, compression ratio, estimated possible savings, optimized prompt output, copy, reset, and estimate warnings.
Who It Is For
TokenTrim is for developers, prompt engineers, AI agents, founders, RAG builders, and automation teams.
Why It Is More Than a Token Counter
TokenTrim helps decide what context to keep, remove, or summarize before a model call.
Privacy and Local Processing
The current app performs prompt analysis in the browser and uses localStorage for local app state.
Founder/Open Source Note
Built by Zebedee Korie, an open-source builder focused on AI agents, developer tools, automation systems, and practical software for AI builders.
Frequently Asked Questions
Is TokenTrim free?
Yes. Free to use. No account required.
Are savings guaranteed?
No. Token counts and savings are estimates unless exact model-specific tokenizers are implemented.
Is TokenTrim.net affiliated with other projects?
TokenTrim.net is an independent AI prompt optimization and token-cost reduction platform. It is not affiliated with any external TokenTrim research paper, GitHub repository, Python package, or third-party website.