Prompt whitespace token savings
ClientNormalize spacing on drafts and see how many rough tokens you might save. For full text stats use token estimate.
Draft text
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Trims outer whitespace, strips trailing spaces on each line, and collapses three or more blank lines to one. Does not rewrite wording—only spacing.
- Saved characters
- 14
- Saved ~tokens
- 3
- Before → after tokens
- 29 → 26
- Token reduction
- 10.3%
Nearby workflows on Toolcore
- LLM token estimate — Rough character-based token planning for prompts and context—CJK-aware heuristic, browser-only—not tokenizer-exact. when you want a second pass with AI-assisted explanation on Toolcore.
- Context window fit check — See if pasted text fits a 4K–1M token window with a rough CJK-aware heuristic—plan headroom before chat paste, browser-only. when you want a second pass with AI-assisted explanation on Toolcore.
- Trim lines — Strip leading and trailing whitespace on each line—optionally remove empty lines locally. when you want a second pass with AI-assisted explanation on Toolcore.
- LLM character budget from token cap — Plan max paste characters from a target token budget—same CJK-aware heuristic as token estimate, browser-only, not tokenizer-exact. when you want a second pass with AI-assisted explanation on Toolcore.
Common use cases
- Shrink sloppy system prompts copied from docs without changing wording.
- Preview token savings before applying normalization to a large template.
- Pair with token estimate when you need exact before/after numbers in one view.
Common mistakes to avoid
Expecting semantic compression
This tool only adjusts whitespace—it does not shorten sentences or remove content.
Removing intentional blank lines in code blocks
Review normalized output; code fences may need manual fixes.
FAQ
Does this rewrite my prompt?
No. It trims edges, trailing spaces per line, and collapses runs of blank lines.
Are token savings exact?
They use the same rough heuristic as our token estimate page—not provider tokenizers.
More tools
Related utilities you can open in another tab—mostly client-side.
LLM token estimate
ClientRough character-based token planning for prompts and context—CJK-aware heuristic, browser-only—not tokenizer-exact.
Context window fit check
ClientSee if pasted text fits a 4K–1M token window with a rough CJK-aware heuristic—plan headroom before chat paste, browser-only.
Trim lines
ClientStrip leading and trailing whitespace on each line—optionally remove empty lines locally.
LLM character budget from token cap
ClientPlan max paste characters from a target token budget—same CJK-aware heuristic as token estimate, browser-only, not tokenizer-exact.