Word Counter & Text Analyzer

See Free Word Counter & Text Analyzer in action

azrscorp.com/quickfix/word-counter/

1Paste or type your text into the box, or upload a .txt/.doc/.docx file.

2Submit to see word, character, sentence and paragraph counts instantly.

3Scroll to the keyword density table to see your most-repeated words.

Free Word Counter & Text Analyzer

This word counter goes beyond a simple word tally. Type or paste any text — or upload a .txt, .doc or .docx file — and it instantly returns word count, character count (with and without spaces), sentence count, paragraph count, average word length and the number of unique words used.

It also estimates reading time and speaking time based on standard adult rates, and surfaces the top 10 most-used keywords with their occurrence count and density percentage, which is handy for checking whether an article leans too hard on one phrase before you publish it.

Key features

How to use it

1. Paste or type your text into the box, or upload a .txt/.doc/.docx file.
2. Submit to see word, character, sentence and paragraph counts instantly.
3. Scroll to the keyword density table to see your most-repeated words.
4. Check reading/speaking time if you're writing for a speech or timed content.

Worked example

Example

Paste a 500-word blog draft. The tool reports ~500 words, ~2,800 characters, ~22 sentences, a 2.5-minute reading time, and flags that "marketing" appears 14 times (2.8% density) — a sign to vary the wording.

Who uses this tool

Tips for the best results

• Watch the keyword density table for any word above roughly 3% — that's often a sign of unnatural repetition.
• Reading time assumes 200 words per minute; for technical or dense content, actual reading time will run longer.
• Use the unique-word count alongside total words to gauge vocabulary variety in longer pieces.
• For scripts or speeches, the speaking-time estimate (130 wpm) is more useful than the reading-time one.

Common mistakes to avoid

• Comparing word count across languages — character-based languages like Chinese or Japanese don't count the same way as space-delimited English.
• Ignoring paragraph count when a platform (like a meta description or tweet) actually limits characters, not words.
• Assuming keyword density above 100% signals an error — it's normal for very short texts where one word repeats often relative to the total.

Frequently asked questions