Compress long LLM prompts by 30–50% by removing stop words, redundant phrases, and filler — preserving core context while slashing your OpenAI or Claude API bill.
🚀 Launch Free Tool →✅ 30–50% token reduction
✅ Stop-word removal
✅ Redundancy elimination
✅ Before/after token count comparison
✅ Cost savings estimate
At scale, 30% token reduction means 30% lower API costs. For a startup spending $1,000/month on OpenAI, that is $300/month saved.
For factual and task-based prompts, trimming rarely impacts quality. For creative or nuanced prompts, review the output before using.
Stop words are high-frequency but low-meaning words like 'the', 'a', 'very', 'really', 'just' that can often be removed without changing the instruction's meaning.