LLM token estimate
ClientA rough, offline-friendly token budget from pasted text. Use it alongside word count and your provider’s official tokenizer when accuracy matters.
Context planning without calling an API
Large language models charge and truncate by tokens, not characters. This tool does not call any model: it estimates tokens by dividing character count by a configurable or auto-suggested characters per token value (English-heavy text tends toward ~4; dense CJK toward a lower ratio). Treat the result as a planning hint, not a guarantee.
Text
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Character counts use JavaScript string length (UTF-16 code units). Surrogate pairs (emoji, many non-English scripts) count as two units—close enough for rough planning. Token counts divide characters by chars/token; they are not identical to any specific model tokenizer.
- Characters (JS length)
- 131
- Words (whitespace)
- 21
- CJK-like code points
- 0%
- Suggested chars/token
- 4.00
- Effective chars/token
- 4.00
- Rough token estimate
- 33
Nearby workflows on Toolcore
- Character budget from tokens — to plan a max paste size from a target token ceiling.
- Word count — when editorial limits are in words instead of tokens.
- Redact paste — before you size a blob that still contains secrets.
Common use cases
- Sanity-check whether a draft prompt fits a rough context budget before you open an API or chat UI.
- Compare English vs mixed CJK prose using the auto chars-per-token blend.
- Pair with word count when editorial limits are in words but the model bills in tokens.
Common mistakes to avoid
Treating the number as exact tokens for billing
Providers use their own tokenizers (often BPE). This page divides characters by a heuristic ratio—it is for planning, not invoices.
Ignoring UTF-16 length vs visible glyphs
Emoji and some scripts use surrogate pairs in JavaScript strings. Length is close for budgeting but not linguistically precise.
FAQ
Is this the same as tiktoken or OpenAI’s counter?
No. Those libraries use the model’s vocabulary. Here you get a fast, offline ballpark using character counts and a simple CJK-aware ratio.
Does my text leave the browser?
No. All statistics are computed locally.
Common search terms
Phrases people search for that match this tool. See the full long-tail keyword index.
- llm token estimator
- count tokens for prompt
- llm token budget to characters
- context window character limit estimate
More tools
Related utilities you can open in another tab—mostly client-side.
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.
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.
LLM API cost calculator
ClientEstimate per-request and monthly chat spend from input/output token counts and your price per million—browser-only arithmetic, not live pricing.
Messages JSON token breakdown
ClientPer-message rough token counts from OpenAI-style chat JSON—sum roles locally for API payload planning, not tokenizer-exact.