Does this show the exact GPT-4 token count?

No. Tokenization varies by model and tokenizer. This page uses a transparent character-based estimate to help with rough planning.

When should I use the estimate?

Use it before comparing prompt length or planning context. Always verify limits and usage in the model's own interface or documentation.

Does the tool upload my prompt?

No. The current counter runs locally in your browser and does not send the prompt text to a server.

Can a shorter prompt still be better?

Yes. A useful prompt is clear and reviewable, not merely long. Check the task, audience, constraints, evidence, and output shape before sending it.

Workflow utility · runs in your browser

Count the words before you prompt.

A calm, local word and character counter for shaping AI prompts before you send them. It counts the text you provide; it does not claim to calculate model-specific tokens.

Prompt scratchpad

Paste or write your prompt Drop .txt or .md

Length planning by model

Approximate context use

Model

GPT-40 / 8,192 tokens

Within planning range

Start with a preset

Customize this template

TXT scope

0Words

0Characters

0Lines

0Est. tokensApprox. for GPT-4

0 minReading timeAt about 200 words/min

0 minSpeaking timeAt about 130 words/min

$0.0000Est. API cost GPT-4 planning rate

Planning estimate only: based on the approximate input token count and an illustrative input rate. Provider pricing, output tokens, and billing rules may differ.

Token estimate is for rough planning only; actual tokenization varies by model and tokenizer.

Use the count as a check.

A longer prompt is not automatically a better prompt. Look for the smallest context and constraint set that lets another person review the request.

Brief-first check

Is the task specific?
Is the audience named?
Are constraints visible?
Can the output be reviewed?

Why this belongs in the workflow.

Small tools are useful when they make a review step clearer, not when they promise to replace judgment. This utility keeps the work visible and processes the input locally in your browser.

Privacy note. The current version does not upload your text to a server. Avoid pasting confidential material into any browser tool unless you understand the device and browser you are using.

Continue with a small utility or a practical guide that supports the same step in your workflow.

GuideCreate a meeting agenda from notes

Turn confirmed decisions and open questions into a focused next-meeting plan.

GuideWrite a meeting follow-up email

Confirm owners and dates without turning an ambiguous remark into a commitment.

GuidePlan weekly priorities

Sort a crowded project list while keeping dependencies and trade-offs visible.

GuideCreate a decision log

Preserve options, evidence, owners, and unresolved questions for future readers.

How to use the AI prompt counter.

Paste a draft prompt into the scratchpad.
Compare words, characters, and the approximate token count.
Use the result as a planning signal, then check the final prompt in the model you actually use.

Example: prepare a support triage prompt

Input: a task, audience, constraints, and output shape before sending a long prompt.

Task: turn these support notes into a triage table
Audience: the on-call engineer
Constraint: mark unknowns instead of guessing
Output: issue, evidence, next check

Verify: the count helps compare versions, but the person sending the prompt still checks whether the source notes are complete.

What this tool does not promise

It does not produce official token counts, guarantee a prompt will fit a model, or judge whether the prompt is factually correct. Tokenization and context limits vary by model and may change.

Important: All processing happens locally in this browser. Token counts are estimates, not official model billing measurements.

Continue the workflow

Start with the brief-first prompt pattern when the prompt still lacks a clear task, audience, constraint, or output shape.

Draft a clearer project update when the counted prompt is preparing progress notes for another reader.

Preview the resulting Markdown locally when you need to inspect headings, lists, or a handoff structure before sharing.