Compress Prompts & Cut Token Spend by 20% to 50%

Eliminate polite conversational filler, redundant instructions, and formatting whitespace from system prompts and RAG contexts without semantic drift.

Presets:

Intensity:

Strip Polite FillerCollapse WhitespaceMinify Punctuation

Original Prompt Tokens

133

765 characters

Trimmed Tokens

36.8% token reduction

Tokens Saved / Call

Per single API request

GPT-4o Savings (100k calls/day)

$368/mo

Claude 3.5: $441/mo

Raw Input Prompt133 tokens

Trimmed Output (Cost-Optimized)84 tokens (-49)

You are a helpful, polite, and respectful AI customer support assistant for Acme SaaS. always greet the user warmly and introduce yourself. Note: you should never give financial advice never. If the customer requests a full refund for their plan, instruct them to visit the billing page at /billing. Currently, our customer support hours are 9am to 5pm EST Monday through Friday. Explain all answers concisely. ask the user if there is anything else you can help them with today.

Ready to simulate your full monthly bill with this 84 token optimized prompt?

Inspect in BPE Tokenizer →Model in Cost Calculator →

Production Savings Forecast Across Volumes

Annualized capital saved by stripping 49 tokens per request across standard API workloads.

Model	10k Daily Calls	100k Daily Calls	1M Daily Calls	Annual Savings (100k/day)
Claude 3.5 Sonnet ($3.00/1M)	$44.10/mo	$441.00/mo	$4410.00/mo	$5292 / yr
GPT-4o (Omni) ($2.50/1M)	$36.75/mo	$367.50/mo	$3675.00/mo	$4410 / yr
DeepSeek V3 ($0.14/1M)	$2.06/mo	$20.58/mo	$205.80/mo	$247 / yr

Why Prompt Trimming Matters for Production LLM Infrastructure

Repeated System Overhead

System prompts run on every single conversation turn. A bloated 1,000-token system prompt called 100,000 times daily burns 3 billion tokens every month—often costing $7,500+ on flagship models.

Polite Filler vs Machine Logic

Phrases like "Please ensure that you always" or "It is critical to remember that" consume 5–8 tokens without altering model attention. Replacing them with direct directives preserves semantic precision while slashing billable tokens.

Zero Telemetry Processing

All prompt trimming and token analysis executes 100% locally in your browser. Your proprietary system prompts, customer data, and RAG schemas never leave your machine.