Use cases

• Estimate whether a long prompt, repository note, transcript, or log can fit a target context window.
• Clean spacing and repeated blank lines before turning rough notes into a stable prompt.
• Split long context into numbered chunks before sending them through an AI workflow.

Review notes

• Token counts are estimates because each model has its own tokenizer.
• Use smaller chunks when you need exact citations, line-by-line review, or stepwise reasoning.
• Keep sensitive material out of prompts unless your workflow explicitly allows it.

Local-first handling

This page is built as a browser utility. Inputs are processed in the page where possible, with no account requirement and no intentional upload step for the tool workflow.

Good fit

• Estimate whether a long prompt, repository note, transcript, or log can fit a target context window.
• Clean spacing and repeated blank lines before turning rough notes into a stable prompt.
• Split long context into numbered chunks before sending them through an AI workflow.

Before copying results

• Token counts are estimates because each model has its own tokenizer.
• Use smaller chunks when you need exact citations, line-by-line review, or stepwise reasoning.
• Keep sensitive material out of prompts unless your workflow explicitly allows it.

Use a stricter workflow

If the context includes production secrets, customer records, private research material, or executable scripts, redact first and use a stricter human review workflow.