Text Statistics
Count words, sentences, paragraphs, syllables, and estimate reading time.
About Text Statistics
Text Statistics counts the words, sentences, paragraphs, and syllables in any text and estimates how long it takes to read. Reach for it to size up a draft, hit a length target, or get the structural numbers behind a piece of writing. It runs in your browser and returns all the counts as JSON.
- Category
- text
- Input
- Accepts: text/plain.
- Output
- Outputs: application/json.
- Cost
- Free, runs in your browser
- Memory
- low
Common uses
- Confirm a blog post or essay lands within a required word count
- Estimate reading time to label an article for your readers
- Check sentence and paragraph counts to gauge how dense a draft is
- Track syllable totals when fine-tuning copy for readability work
- Compare the length of two drafts at a glance
- Get quick structural stats on text you pulled out of a PDF or web page
Frequently asked questions
What exactly does it count?
Words, sentences, paragraphs, and syllables, plus an estimated reading time, all returned as JSON.
Is my text uploaded?
No. The counts are computed locally in your browser, so the text stays on your device.
How is the reading time estimated?
From the word count against an average reading pace, so treat it as a useful estimate rather than an exact figure.
What input does it accept?
Plain text. Paste it directly or chain in the output of an extraction tool.
How is this different from Readability Scores?
This gives raw structural counts. Readability Scores feeds similar measures into formulas like Flesch and Gunning Fog to estimate reading difficulty.
Does it handle very long text?
Yes. Because it runs locally, it comfortably counts long documents without any upload step.
Keywords
- stats
- word count
- sentences
- paragraphs
- syllables
- reading time
- character count