Prompt Token Saver
Compress verbose AI prompts to reduce token usage — collapses filler phrases, abbreviates tech jargon, and never touches your code blocks.
Compress a Prompt
Domain packs (optional — enable extra abbreviations)
What went wrong? (optional — 280 chars max)
Environmental Impact Calculator
Estimate how much energy you save by compressing your prompts over time.
Benchmark — 29 Real-World Prompts
Average compression across a suite of verbose developer prompts.
About Prompt Token Saver
Verbose AI prompts waste tokens — and tokens cost money, latency, and energy. This tool compresses your prompt by collapsing filler phrases ("could you please help me with" → ""), abbreviating common technical terms ("authentication" → "auth", "configuration" → "config"), and applying logic symbol substitutions ("greater than or equal to" → ">="). Code blocks are automatically protected and passed through unchanged. Savings of 20–50% are typical for developer-style prompts.
Will the compressed prompt give the same result?
For most technical prompts, yes. The compressions use abbreviations and phrase-collapses that LLMs handle natively. Highly nuanced or creative prompts may benefit from lighter compression.
How are token savings estimated?
Token counts use the o200k_base encoding (GPT-4o / GPT-4.1 / o-series / GPT-5) via gpt-tokenizer, running fully in your browser.
Is anything sent to a server?
No. All compression runs entirely in your browser. Your prompt text never leaves your device.
What is the environmental impact calculation based on?
A rough estimate of ~0.001 mWh per 1,000 tokens for GPT-4-class inference, 0.021 kg CO₂/kWh for the grid, and a tree absorbing ~21 kg CO₂/year. Impact calculator uses the same o200k bench savings rate as the playground.
Related: Code Formatter · Semantic HTML Converter
Keywords: prompt compression, token saver, LLM token reduction, AI prompt optimizer, reduce AI costs, GPT token counter