Text statistics help me understand the size of a post, message, or document before publishing it.

The Text Statistics tool handles the repetitive part so I can focus on checking whether the result makes sense.

The simple idea

Text statistics help me understand the size of a post, message, or document before publishing it.

I still treat the output as something to review, especially when it affects money, dates, privacy, or production data.

Step 1: Paste the text

Paste the text.

Step 2: Check character count when a platform has limits

Check character count when a platform has limits.

Step 3: Check word count for article length

Check word count for article length.

Step 4: Check line count for logs or lists

Check line count for logs or lists.

Step 5: Use reading time as an estimate, not a promise

Use reading time as an estimate, not a promise.

Step 6: Compare before and after editing

Compare before and after editing.

Step 7: Do not optimize only for numbers; keep the text useful

Do not optimize only for numbers; keep the text useful.

My checklist

Before I trust the result, I check:

  • Paste the text.
  • Check character count when a platform has limits.
  • Check word count for article length.
  • Check line count for logs or lists.
  • Use reading time as an estimate, not a promise.
  • Compare before and after editing.
  • Do not optimize only for numbers; keep the text useful.

A small tool is most useful when it makes the work visible and easy to verify.

Comments

Comments are welcome — please read the comment policy first. Powered by giscus and GitHub Discussions.