📝 Content Word Counter
Paste your content to count words, characters, and sentences and estimate its reading time at a speed you set — a quick way to size up blog posts and landing-page copy for SEO.
📝 Count Your Content
What is a Content Word Counter?
It tallies the words, characters (with and without spaces), and sentences in whatever you paste, then estimates how long the piece takes to read at a words-per-minute speed you choose. It's a quick, no-fuss way to see the shape of a draft while you write or edit.
Use it to size content to search intent rather than an arbitrary target, to keep an eye on how dense a passage is, and to add an accurate "X-minute read" label to your posts. Depth should match what the query needs — this tool helps you judge that at a glance instead of guessing.
❓ Frequently Asked Questions
How many words should an SEO blog post be?
There's no universal number — align length to search intent and the competition on page one. Informational and pillar topics often run 1,200–2,000+ words to cover the subject thoroughly, while a focused answer or product page can rank well much shorter. Match the depth the query deserves rather than padding to a target.
Does word count affect SEO rankings?
Not on its own. Google ranks relevance and quality, not length. Longer content tends to correlate with rankings mostly because thorough answers naturally use more words and earn more links — but a bloated 2,000-word page loses to a tight one that answers the query better.
How is reading time calculated?
The tool divides your word count by a reading speed in words per minute — 200 wpm by default, a common average for adult silent reading. You can change the speed to model a slower or faster audience. Showing an estimated reading time on your posts sets reader expectations and can improve engagement.
What's the difference between characters with and without spaces?
Characters counts every character in your text including spaces and line breaks; characters without spaces strips whitespace out. The no-spaces figure is handy when a platform limits pure character volume, while the full count matters for fields measured with spaces, like meta descriptions.