AI Token Counter & Estimator
Counts Unicode code points and whitespace-separated words, then estimates tokens as ceiling(non-CJK code points ÷ 4) plus one per matched CJK character. It does not use a tokenizer or count UTF-8 bytes.
About this ai token counter & estimator
Counts Unicode code points and whitespace-separated words, then estimates tokens as ceiling(non-CJK code points ÷ 4) plus one per matched CJK character. It does not use a tokenizer or count UTF-8 bytes Transforms and validates developer data structures locally, preventing confidential payload exposure during data wrangling.
Syntax parsing & data transformation logic
Provides standards-compliant encoding, decoding, and unique identifier generation covering POSIX Unix epoch timestamps, ISO 8601 / RFC 3339 extended calendar formats, RFC 4122 Universally Unique Identifiers (UUIDv4 pseudorandom, UUIDv7 millisecond time-ordered), ULID (Universally Unique Lexicographically Sortable Identifier), and W3C HTML5 entity character references. Timestamp conversions utilize high-precision integer arithmetic to prevent 32-bit Year 2038 signed rollover bugs, while UUID generation taps directly into the browser's cryptographically secure pseudo-random number generator (CSPRNG, crypto.getRandomValues).
Worked conversion & output example
Scenario: Estimate tokens for a mixed Latin and CJK string.
Sample input:
Processing: Count five spread characters and two CJK matches, then calculate ceil(3/4)+2.
Illustrative output:
Syntax constraints & input size limits
The estimate is ceil(non-CJK characters ÷ 4) plus selected CJK characters, not a model tokenizer or billing count. Emoji, mixed scripts and language-specific segmentation can differ substantially.
Data conversions and formatting in AI Token Counter & Estimator reflect standard structured syntax. Verify parsed outputs against your target runtime before deployment.
Local client execution boundary
Data parsing and transformations in AI Token Counter & Estimator execute in the local browser tab without remote data transmission.
Data format specifications & language standards
Data interchange formats and language grammar specifications:
- Standard Browser Web API / Algorithm Implementation (No single external RFC/ISO standard)
AI Token Counter & Estimator verification · Audit standards
How to use it
- Paste text to estimate token count.
- Count Unicode code points and whitespace-delimited words; count selected CJK characters separately.
- Read characters, words and the heuristic token estimate as JSON.
Frequently asked questions
How does AI Token Counter calculate its estimate?+
It counts JavaScript characters with spread syntax, whitespace-separated words, and CJK matches in U+3400–U+9FFF plus Japanese kana. Estimated tokens are `ceil((characters - cjk)/4) + cjk`, floored at zero.
Can you show an input and its result?+
For `hi 世界`, it reports 5 characters, 2 words, and estimatedTokens 3: three non-CJK characters contribute ceil(3/4)=1 and two CJK characters contribute two.
Why is this not a model tokenizer?+
The method is explicitly a Unicode code-point heuristic and tokenizer-independent estimate. It does not apply OpenAI, Claude, or Gemini merge tables, account limits, prices, system prompts, or model-specific encoding revisions.
Is the prompt sent to an AI provider?+
No. The count is calculated by browser code on the entered string; example request evidence does not contain a submitted prompt payload and does not establish provider privacy policies.