Reduce the estimated token count of a long AI prompt without simply cutting off its context. Remove filler and repeated instructions while preserving code blocks, URLs, constraints, and the prompt’s practical meaning.
How to use the AI Prompt Token Compressor
Paste the prompt, choose a compression level, and preserve code or URLs when exact text matters. Compare the estimated token counts, then copy and review the compact result before using it.
Frequently Asked Questions
How do I reduce prompt tokens without losing context?
Remove filler, duplicate sentences, and wordy phrases while retaining goals, constraints, examples, and exact technical details.
Is this an exact tokenizer?
No. It uses the common character-based token estimate of roughly four characters per token. Actual counts vary by model.
Does the compressor send my prompt to an AI?
No. Compression runs locally in your browser using deterministic text rules.
Will code blocks and URLs stay unchanged?
Yes when their preservation options are selected.
Can a shorter prompt reduce AI API costs?
Often, because many APIs charge partly by input tokens. Review the result before production use.