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Calculate Reading Time for an Article
How long will this take to read? Estimate reading time from word count at a pace you choose — the "5 min read" label, calculated.
Prompt Utilities
Character Counter
How long is this text — for a human and for the platform it has to fit? Paste it to count characters, words, lines, and reading time, and see at a glance whether it busts Twitter's 280, fits a 160-character meta description, or runs long for a talk. It measures length in the units people read; for tokens and cost, that's the Token Counter.
Paste any text — a post, a description, an essay, a script. The report shows counts only, never your text.
Text Length Report
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Character Counter
Paste any text and see characters, words, lines, and reading time at once — plus whether it fits Twitter, SMS, and meta-description limits.
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Character vs Token — When Each One Matters
A character is what you type; a token is what a model reads. This shows when to count which, from the character side.
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Check if Text Is Under the Limit
Will it fit? Check any text against Twitter, SMS, meta-description, and other limits at once, and see exactly how far over you are.
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Count Characters Online Against a Limit
When a field has a hard character cap — a meta description, a bio, a title — count against it instantly and see exactly how much room is left.
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Count Lines in Text
Count the lines in a list, a block of addresses, a CSV, or any line-structured text — plus paragraphs and the rest.
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Count Words in a Block of Text
Drop in any block of text and get a clean word count with the structure around it — useful when a word range is the spec.
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Estimate Speaking Time for a Script
How long will this take to say aloud? Estimate speaking time from word count so a talk, video script, or voiceover lands on schedule.
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Text Length Analyzer with Density
The full read-out: characters, words, lines, sentences, reading time, and density — average word and sentence length — in one report.
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Word Counter
Count words in any text, with sentence and paragraph structure and reading time — for essays, articles, and anything with a word target.
How it works
Paste any text and pick a reading pace (slow, average, or fast). The Text Metrics Engine counts it deterministically: characters with and without spaces, words, lines, paragraphs, and sentences, plus a Density read-out of average word length and average sentence length. The Reading Time Engine estimates how long the text takes to read at your chosen pace and to speak aloud at a steady pace. The Platform Limits Engine checks the character length against common caps — X/Twitter, SMS, meta description, Google title, Instagram, LinkedIn — and shows whether it fits, with the exact characters left or the amount over. Click Measure Text for the full report: Character Metrics, Word Metrics, Reading Metrics, Text Structure, Platform Notes, and honesty notes on how counts work. Everything runs in your browser; the report shows counts only and never echoes your text. Counts are in text units a human reads — for model tokens and cost, the report points you to the Token Counter.
Best for
- Counting characters, words, lines, and reading time
- Checking text against platform limits — Twitter, SMS, meta descriptions
- Measuring human-readable units, not model tokens
Not for
- Counting model tokens or estimating cost — that is the Token Counter
- Comparing two texts for changes — that is the AI Text Diff Checker
Use cases
- Counting characters, words, and lines in any text
- Checking a post or description against platform length limits
- Estimating reading time and speaking time
- Sizing copy to a character or word target
Pro tips
- Watch the Platform Notes panel. The number that matters when you are over a limit is the amount over — it tells you exactly how many characters to cut, not just that you missed.
- Pick the right reading pace. Technical or dense material reads slower than casual prose, so set the pace to match before trusting the reading-time estimate.
- Speaking time runs slower than reading time. If you are writing a talk or voiceover, size to speaking time — presenters who write to a reading estimate always run over.
- Use characters-without-spaces for fields that count it that way, and remember some emoji and combined scripts can count as more than one character in a text field.
FAQ
How is this different from the Token Counter?
Different units for different audiences. The Character Counter measures text units a human reads and a platform limits — characters, words, lines, reading time. The Token Counter measures model units — tokens, the sub-word chunks a model processes and bills — and prices them. A 280-character tweet and its token count are different numbers: count characters here when the limit is a platform or a reader, and count tokens there when the limit is a model's context or an API bill.
How is this different from the Context Window Estimator?
The Context Window Estimator answers "will it fit a model's context window?" — a fit verdict measured in tokens. This tool never touches a model window; it answers "how long is this for a person or a platform?" in characters and words. One is about a model's capacity; the other is about human and platform limits.
How accurate is the reading and speaking time?
They are estimates from word count divided by a reading or speaking pace — the same math behind a "5 min read" badge. Real pace varies by reader, speaker, and material: a technical paper reads slower than a casual post, and a careful presenter speaks slower than a fast one. The reading pace is selectable for exactly this reason; treat the result as a solid estimate, not a stopwatch.
How are characters counted — what about emoji?
Characters are counted as the units a text field counts (UTF-16 code units), which is what most platforms and textareas enforce. Some emoji and combined scripts can count as more than one unit in that scheme, which is noted in the report. If a specific platform counts differently — Twitter, for instance, weights some characters — treat this as a close, honest estimate rather than that platform's exact internal count.
Are the platform limits exact and current?
They are the common, well-known caps — Twitter 280, SMS 160, meta description ~160, and so on — offered as context so you can size text without leaving the page. Platforms occasionally change limits and apply their own counting rules, so confirm against the platform itself when a few characters decide it. The goal is fast orientation, not a guarantee.
Why does multilingual text count differently?
Because languages are built differently. Word and sentence boundaries vary — some scripts do not separate words with spaces — and CJK characters pack more meaning per character, so a translated sentence can have a very different character and word count from its English source. The tool counts honestly and notes that language affects every metric; it does not pretend one ruler fits all scripts.
Will the count change if I run it again?
No — counting is fully deterministic, so the same text always produces the same report. The report shows counts only and never echoes your content back. Copy or download it to use wherever you work.