PromptShrink

Shrink Your Prompts, Save on Token Costs

PromptShrink helps you reduce the cost of using large language models (LLMs) like ChatGPT and Claude by analyzing and trimming the tokens that add little value. Every character you send to an LLM contributes to your usage — including whitespace, punctuation, and common stop words like the, is, and of. While these words are often essential for human readability, many LLMs do not rely on them heavily to interpret the meaning of your input.

Stop words are high-frequency words that usually provide grammatical structure rather than core meaning. In traditional natural language processing, these are often removed to focus on the more impactful parts of a sentence. Similarly, PromptShrink evaluates your prompts and highlights which tokens contribute most to the cost versus those that can be safely reduced or rewritten — without sacrificing clarity or intent.

Whether you're developing LLM-powered apps or just experimenting with prompts, PromptShrink gives you the insight you need to write leaner, smarter inputs — and save money in the process.