Online Word Counter Free: Word Counter & Text Analyzer

The session begins the moment text arrives. Type directly into the editor, paste from any source, or dictate using Voice Input — which places spoken words at your current cursor position, not just at the end, so you can dictate into the middle of an existing draft without losing your place. If you want to explore the tool before adding your own content, Load Sample Text populates the editor with example text immediately. The Paste from Clipboard button handles quick clipboard pasting in one click. For content that already lives on the web, the Load from URL button beneath the editor opens a modal titled Load Text from URL: enter the page address, click Fetch Text, and the tool pulls in only the readable article content and drops it straight into the editor, ready for a full word count by URL fetch — no copy-paste, no manual extraction, no separate step.

The moment text arrives, Step 2 has already begun without you doing anything. This live word count counter shows word count, character count with and without spaces, sentence count, paragraph count, reading time, speaking time, unique word count, and syllable count — all updating in real time as you type or edit. There is no submit button and no page reload; the numbers simply stay current. A word limit setter lets you set a target, and a Word Limit Progress bar fills toward it as you write. A Reading Progress bar also runs alongside the Reading Time estimate, giving you a quick-glance sense of how long your current text is without reading a number. Every dropdown selector in the tool — for Reading Pace, Speaking Pace, voice, font, and export format — is fully keyboard-accessible: arrow keys navigate options and Escape closes any open selector, so the entire tool is operable without a mouse on any device.

Once the overview grid is running, seven tabs sit beneath it, each covering one area of analysis. The Readability tab shows four readability scores — Flesch Reading Ease, Gunning Fog, ARI, and SMOG — along with an estimated grade level, a color-coded reading level badge, and lexical density. The Keyword Analysis tab shows keyword density percentages for every word in your text, a visual word frequency bar chart, a word cloud, and an SEO content score. The Advanced Stats tab covers the full character-level breakdown: vowels, consonants, punctuation count, hashtag count and extraction, emoji count, uppercase ratio, and the Letter Frequency Counter. The Text Insights tab surfaces passive voice instances, filler word counts, clichés found, transition word ratio, sentiment analysis, palindromes, anagrams, word variations, and the Email Extractor. The Text Comparison tab holds a side-by-side comparison workspace for two drafts. The Social Media tab checks your text against 25 or more platform character limits at once, with a color-coded progress bar for each. The AI and Extras tab shows your token estimate, context window fit across six major AI models, and a words-per-page calculator. Open the tab your work calls for and ignore the rest — the tool never forces you through analysis you do not need.

Beyond measuring your text, the tool lets you change it directly. The Case converter covers the four standard writing cases — UPPERCASE, lowercase, Title Case, and Sentence case — and adds four developer case converters: camelCase (helloWorld), PascalCase (HelloWorld), snake_case (hello_world), and kebab-case (hello-world), each converting plain text into the exact naming convention needed for variable names, file names, function names, or URL slugs in one click with no manual reformatting.

The Cleanup tools tackle text that arrived with formatting baggage. Remove Extra Spaces and Remove Line Breaks tidy structure. Reverse Text reverses character order. Remove Punctuation strips periods, commas, exclamation and question marks, quotes, brackets, and hyphens in one click and then tidies any resulting double-spaces. Remove HTML Tags strips markup from pasted web content and decodes common entities back to plain characters; this is a clean strip rather than a smart reflow, so structural tags do not insert extra spacing. Sort Words, Remove Duplicate Words, and Remove Stop Words each rebuild your text as a clean single-spaced word list, making them word-extraction tools rather than in-place sentence editors — original sentence structure, punctuation, and line breaks are not preserved in the output, which is the accurate description of what they do.

The Word Frequency Highlight surfaces your top 10 most-used words visually through the Keyword Analysis tab's bar chart and word cloud, giving you an instant keyword frequency overview at a glance. The LinkedIn text formatter converts your text to Unicode bold or italic characters and copies to clipboard, ready to paste into any LinkedIn post — because LinkedIn does not support real HTML formatting, this Unicode method is how bold and italic actually work in LinkedIn posts. The Spell check toggle turns the browser's built-in spell-check underlines on or off. The Font selector changes the editor typeface between Default, Serif, Monospace, and Sans-serif for a more comfortable drafting experience. Focus Mode hides everything except the text editor for distraction-free writing and exits via the same button or the Escape key. Dark mode switches the background and the tool remembers your choice on the next visit.

Step 5 closes the loop between analysis and action. One-click Download Report exports the full analysis as PDF, TXT, CSV, JSON, or HTML — each format suited to a different destination. A Copy Results button copies a quick summary — word count, character count, sentence and paragraph count, reading time, unique words, Flesch score, and grade level — formatted for pasting into a document, email, or ticket. On supported devices, a Share Results button sends a short summary and the page link directly from the browser without copying and pasting manually. Use the Clear button to remove all text and reset all stats. Because all analysis runs in your browser tab, the exported file is the only record of that analysis that exists anywhere — there is no server-side history. Exporting is not an optional step at the end; it is the only way to keep your results past the current session.

Word count is the total number of words in your text, updated as you type. This is the number students check against an essay limit, bloggers check for SEO length targets, copywriters check for ad copy restrictions, and translators use as a word count calculator for project pricing. For plain text, the count matches Microsoft Word's word-counting algorithm. It handles word count in English and most Latin-script languages accurately, making it a reliable word count checker for students and writers worldwide.

Directly alongside it, this character counter appears in two versions: characters with spaces and characters without spaces. That distinction matters because platforms count differently — X counts characters including spaces, while some academic submission systems count without spaces. Having both numbers visible at once, always current, removes any guesswork about which figure a particular platform or institution expects. The character count is the bridge between word-level thinking and the platform-level constraints that social media and SEO work demand.

From words, the picture grows outward to sentences and paragraphs. Sentence count shows the total number of sentences in your text, but it does not stop there. The Advanced Stats tab breaks sentence structure further into simple sentence count, question sentence count, exclamation sentence count, and long sentence count — sentences of 20 words or more, flagged because they tend to be harder for readers to follow. These breakdowns matter because the readability scores that come later — Flesch, Gunning Fog, ARI, SMOG — all use sentence length as part of their calculations.

This paragraph counter updates in real time as you write, giving you a live structural breakdown of your text as you draft. Paragraph count tells you how your ideas are organized at the macro level, while sentence count tells you how those ideas are expressed at the micro level. Together, they reveal whether the rhythm of your writing matches the pace your audience expects — something word count alone never could.

Unique word count tells you how many different words appear in your text. A low unique count relative to total word count signals repetition — not always a problem, but always worth knowing. A blog post and a legal brief might have the same word count but very different unique word counts, and that difference tells you something about the density and range of the vocabulary in each. Syllable count feeds directly into the readability formula calculations that follow, connecting these base-level statistics to the deeper analysis one tab over. The Advanced Stats tab also shows the longest word, most complex word by syllables, average word length, and average sentence length — together these reveal how dense your vocabulary is and whether that density matches what your audience can comfortably process at first reading.

The Advanced Stats tab works as a character checker, showing a full breakdown of your text at the character level: vowel count, consonant count, numeric character count, punctuation count, uppercase letter count, lowercase letter count, special character count, hashtag count and extraction, stopword ratio, and uppercase ratio. These numbers matter most when the text is going somewhere with strict formatting constraints — a tweet with a hashtag count limit, a database field with a character type requirement, a document where uppercase ratio signals tone. The character breakdown is also the foundation from which the Letter Frequency Counter — the next layer deeper — draws its data.

Language detection sits in the Text Insights tab and identifies the most likely script in your text — Latin, Cyrillic, Arabic, Japanese, Chinese, Korean, or Hindi — based on character patterns. It does not translate, but it confirms what language family your text belongs to, which is useful for multilingual writers, editors working with copied content from multiple sources, and anyone pasting text from another system who needs a quick confirmation that the character set came through correctly.

The Letter Frequency Counter takes the character-level analysis one step deeper. Found in the Advanced Stats tab directly below the Emoji Counter, it breaks your text down letter by letter: a headline stat showing the most common letter in your current text, followed by a ranked breakdown of the top 10 letters and their exact counts. In most English text the letter 'e' appears most often — this tool confirms that for your specific text and shows the full frequency ranking alongside it. The feature is useful for cryptography work, word-game analysis such as Scrabble or Wordle tile planning, and linguistics research. It opens up an audience that a standard free word counter has never reached before — and it does it from the same page, without any extra tool or tab.

From counting comes timing. This reading time calculator uses 200 words per minute as its default. The Reading Pace selector lets you change this to Slow at 150 words per minute, Medium at 200, or Fast at 250, so the estimate matches the actual reading context for your audience rather than an assumed average. The speaking time calculator uses a separate Speaking Pace selector: Slow at 110 words per minute, Normal at 130, or Fast at 160. This words-to-minutes calculator is useful for anyone timing a speech, podcast, voiceover script, or presentation. A speech at a TED-style conference reads at a different pace than a casual podcast or a news broadcast, and setting the right pace gives a more accurate delivery estimate than a single fixed number ever could. Reading time and speaking time are not the same number, and having both — tied to the same text, updating as you edit — saves the step of switching between tools mid-session.

Set a target word count using the word limit setter. A Word Limit Progress bar appears and fills as you write toward your goal. The Writing Goals section in the tool tracks a daily word count target separately, a day-streak counter showing how many consecutive days you hit your goal, and a seven-day total word count showing this week's output across all sessions. All goal history is stored only in your browser's local storage — nothing is sent to any server. This makes it useful for NaNoWriMo writers, daily writing habit goals, and anyone tracking output across sessions without a login. The auto-save feature stores your draft automatically in your browser tab as you write.

Flesch Reading Ease scores text from 0 to 100. A higher score means the text is easier to read. Most general writing should score between 60 and 70. A score above 70 suits a broad consumer audience — blog posts, product pages, social media captions. A score below 30 suits academic papers and technical writing where a specialist audience expects density. The formula uses average sentence length and average syllables per word — which is why the sentence count and syllable count from the overview grid feed directly into this result. The Readability tab also shows a color-coded Reading Level badge: Very Easy, Easy, Standard, Difficult, or Very Difficult, so you can see at a glance where your text sits without reading the number.

The Flesch Reading Ease formula was first published by Rudolf Flesch in his 1948 paper A New Readability Yardstick in the Journal of Applied Psychology (Vol. 32, No. 3, pp. 221–233). The 60–70 range he identified as best for general adult audiences has been confirmed by multiple independent comprehension studies since.

The Gunning Fog Index estimates how many years of formal education a reader needs to understand the text on first reading. A score of 8 means an average eighth-grader can read it clearly. Most business and blog writing targets between 8 and 12. Above 17 is considered graduate-level writing. A high Gunning Fog score in a piece meant for a general audience is a signal to shorten your sentences and replace complex words with simpler ones — two specific, actionable changes, not a vague instruction to "write more clearly."

Robert Gunning developed this index for his 1952 book The Technique of Clear Writing (McGraw-Hill) after analyzing readability across American newspapers and business documents. His finding that complex sentence structure — not vocabulary alone — explains most readability problems still holds in current published research.

The ARI calculates readability from characters per word and words per sentence rather than syllable counting. This makes it a useful cross-check against Flesch and Gunning Fog results, which both depend on syllable counts. If all three formulas show a similar grade level, the result is reliable. If the scores differ, the text likely mixes simple and complex elements in a way that different readability methods weight differently — which is itself useful information about how varied your vocabulary and sentence structure are.

The SMOG Index is the readability formula most widely used for health communications, patient education material, government documents, and plain-language compliance writing. It is based on the density of polysyllabic words in the text. Most free tools do not include SMOG — and that gap matters, because health writers and government communicators who need SMOG specifically cannot substitute Flesch for it. They will find SMOG here, without any signup or payment, alongside the three other formulas they may already be familiar with.

G. Harry McLaughlin published the SMOG formula in the Journal of Reading in 1969. A 2013 study in the American Journal of Health Behavior (Vol. 37, No. 4) found that patient materials written above a SMOG grade of 6 showed measurably lower comprehension and treatment adherence. The U.S. National Institutes of Health and the UK National Health Service both reference SMOG as the standard formula for patient-facing content.

Keyword density is the percentage of times a specific word appears in your text relative to total word count. A range of 1 to 2 percent is widely cited as natural and SEO-safe for any primary keyword. This keyword counter tool shows every word ranked by frequency and density percentage so you can check keyword balance without calculating anything manually. Keyword density is a useful proxy for keyword health, not a direct ranking signal — what it tells you is whether a word is appearing so often that it looks unnatural to a reader or a search algorithm, or so rarely that it might not register at all.

The SEO content score gives you a quick signal on keyword health: a single green, yellow, or red indicator derived from keyword density. Green means your keyword use looks natural. Yellow means you are approaching over-optimization. Red means a keyword appears above roughly 5 percent of total word count, which may signal keyword stuffing to a search engine. This is a quick sanity check — not a full SEO audit tool and not a ranking prediction — but it catches the most common keyword health issue before it leaves your editor.

A visual horizontal bar chart shows the top 10 keywords and most-used words in your text — a quick word frequency analysis without any extra step. This word repetition counter in visual form is built directly on an HTML canvas with no third-party charting library and adapts to dark mode automatically. A word cloud shows the same frequency data in a layout where more common words appear larger. Both visuals give a fast overview of keyword distribution across your writing, making the density numbers tangible in a way that a percentage table alone does not.

The passive voice detector finds sentences written in passive voice and shows the count, the ratio, and up to 10 highlighted examples from your text. The filler word checker finds weak words like very, just, really, and basically, and shows how many times each one appears. The cliché finder checks your text against a built-in list of overused phrases such as at the end of the day and think outside the box, and lists the exact phrases found. These three checks work in combination: passive voice weakens agency, filler words dilute impact, and clichés signal unoriginal thinking. Seeing all three on one tab gives you the writing quality pass that most editors would make manually, automated.

The transition word counter counts connecting words like however, therefore, moreover, and meanwhile. It shows the count, the ratio per sentence, and the specific transition words found in your text. A low ratio can signal that your writing jumps between ideas without guiding the reader from one point to the next — a structural problem that word count and readability scores alone would never surface. Sentiment analysis shows whether your text reads as positive, negative, neutral, or mixed in tone of voice. A percentage and colored meter bar display the result. This is a keyword-matching check that counts recognized positive and negative words — not an AI model — and it gives content writers and social media managers a fast tone check before anything goes public.

The Advanced Stats tab includes an Emoji Counter that counts every emoji in your text and shows a breakdown of which emojis appear and how many times each one does. This is useful for social media posts where emoji frequency affects tone and readability, and for anyone who needs a quick audit of how many emojis appear in a pasted document. The Emoji Counter connects directly to the Social Media section that follows, where the character count those emojis contribute to is checked against platform limits.

The Text Insights tab also includes palindrome detection, an anagram finder, and a word variation finder. Palindrome detection finds words that read the same forwards and backwards — for example racecar, level, and madam. The anagram finder finds pairs of words made from the same letters — for example listen and silent. The word variation finder groups words that share the same root — for example write, writing, written, and rewrite. These features serve a different kind of text work: linguistics research, word puzzle creation, language learning, and the kind of careful vocabulary analysis that benefits from seeing word relationships explicitly.

The Email Extractor scans pasted text and pulls out every valid email address found, removing duplicates. An address that appears three times in the text is listed once in the results. It is found in the Text Insights tab, directly below Word Variations. This is useful when you paste a long email thread, contact list, or copied document and need every email address pulled out without reading through the text line by line. It is a genuinely different use case from the rest of the Text Insights features, aimed at anyone processing communication records rather than analyzing prose.

The Find and Replace feature lets you search for any word or phrase in your text. A live match count appears as you type your search term so you can see how many times it appears before making any change. A case-sensitive toggle lets you match exact capitalization when you need it. Replace Next replaces one match at a time moving forward through the text. Replace All replaces every matching instance at once. This is useful for fixing a repeated spelling error, changing a product name across a long draft, or replacing a placeholder with the final version — a workflow that is common enough in writing that having it built into the same page as the word count removes the round-trip to a separate editor.

The Text Comparison tab lets you paste two versions of a text into two separate panels and compare them directly. It shows the word count for each version separately, a character difference metric between the two versions, common words that appear in both texts with a preview list, words that are unique to Text 1 only, and words that are unique to Text 2 only. This is useful for editors comparing a draft with a revised version, writers checking how much a revision actually changed, or anyone doing a self-review of two pieces to understand what shifted between them. The comparison is structural — it works at the word level rather than the sentence level, making it complementary to a visual diff rather than a substitute for one.

Word Counter with URL Fetch gives you a complete word count and full text analysis on any public web page without copying or pasting a single word. Click the "Load from URL" button beneath the editor, enter the page address in the modal titled Load Text from URL, then click Fetch Text. The tool retrieves the page, extracts its readable content, drops it straight into the analysis box, and immediately runs the full word count, character count, readability checker, keyword density checker, and every other analysis on it in one step. A status line confirms how many characters were loaded. This is a complete word count by URL fetch in a single action — a workflow that used to require opening a browser tab, selecting all, copying, switching back, and pasting is now a URL and one click.

What "fetch" actually means matters here, because this is not a raw HTML dump and not a screenshot. The tool identifies the page's real content region — an article or main element, a recognized content container, or the best-scoring section of the page — and returns that as clean, readable text. Navigation menus, advertisements, scripts, stylesheets, and site chrome such as headers and footers are stripped out, but only when they sit outside the main content, so an in-article byline or a WordPress post header is not discarded along with the real site navigation. Inline formatting is kept as part of the sentence it belongs to rather than being shredded into fragments. Headings, separate paragraphs, and FAQ blocks stay structurally distinct. Extra whitespace and excessive blank lines are normalized, so the analysis runs on clean text from the moment the fetch completes.

The URL Fetch feature is built with the same security protections a professional review would require. Every hostname is resolved and checked before connecting. Private, internal, and loopback addresses are rejected outright, and if a fetched page redirects elsewhere, each redirect hop is independently re-validated the same way — closing the specific vulnerability that naive implementations of this kind of feature commonly miss, where a fetch of a safe-looking URL that then redirects to an internal address would otherwise expose internal network resources. Fetched pages are also capped in size so an oversized response cannot exhaust server resources. For SEO professionals, content auditors, and anyone using this as a competitor word count tool, this means the feature is engineered for reliability and safety, not just convenience.

A few honest limits are worth knowing before you rely on the feature in a workflow. The URL fetch word count tool analyzes one public page at a time — it is not a crawler, not a bulk tool, and not a general web scraper. Only standard public http and https addresses are accepted; pages that require a login, sit behind a paywall, or use a username-and-password URL are rejected outright with a clear error message rather than returning partial or misleading content. Pages that render their text entirely with client-side JavaScript — some modern single-page apps built in React or Vue with no readable text in the page source — may return too little content to analyze; in those cases the tool shows a plain-language message suggesting you copy and paste the text manually instead of presenting a blank or broken result. A 25-second time limit applies to slow or unresponsive pages, so the tool never hangs indefinitely.

The AI token counter — also used as a ChatGPT token counter — estimates how many tokens your text will use when submitted to an AI model. The estimate uses approximately 1.33 tokens per word. To estimate manually, multiply your word count by 1.33. One token is approximately 0.75 words in English. The calculation runs entirely on your device with no connection to any AI service — no API call is made and no text is sent anywhere. This is pure local math against publicly known tokenization ratios, which means the result is instant, private, and free.

This ratio is derived from OpenAI's published tokenization documentation. For precise counts before submitting large documents, OpenAI's Tiktoken library (github.com/openai/tiktoken) and Anthropic's Claude documentation both provide exact tokenization. The estimate here is designed for quick planning, not as a substitute for provider-level tokenization.

The AI and Extras tab shows your token estimate against the published context window limits of six major AI models: GPT-4o and GPT-4 Turbo, GPT-3.5, Claude 3.5 and 4 family, Gemini 1.5 and 2.0 Pro, Llama 3.1, and Mistral Large. Each model displays its token limit and a visual fit, near-limit, or over-limit bar. Exceeding a model's context limit causes the model to forget earlier parts of your input — a problem that is invisible until it happens and frustrating when it does. This tab tells you exactly which models can handle your text as written and which cannot, before you paste anything.

The Words Per Page Calculator — sometimes called a word calculator for page estimates — shows how many printed pages your text would fill. Adjust font size (10, 11, 12, or 14 point) and line spacing (single, 1.5, or double) to match your document format. This is useful for students estimating manuscript length, authors checking chapter size against a publisher's format requirement, and anyone formatting a document before printing. It sits in the same tab as the AI token counter because both answer the same underlying question: how does the length of this text translate into a format that matters for your next step?

Click the Voice Input button and start speaking. This speech to text feature places your words in the text editor at your current cursor position — you can dictate into the middle of existing text, not just at the end, which makes mid-draft dictation practical rather than disruptive. It uses your browser's own built-in speech recognition with no extra cost and no account required. A live status indicator shows when Voice Input is running. While Voice Input runs, the microphone audio is also recorded locally at the same time, so the recording is ready to download when you stop — two things happen in parallel from one click.

The Read Aloud feature reads your text back to you using the voices your browser and operating system already have installed. The voice list is automatically ranked so the most natural-sounding available option is suggested first, rather than listing voices in whatever order the browser happens to report them — a small but real quality-of-life touch that most Read Aloud implementations skip. Speed options are Slow, Normal, or Fast. Tone and pitch options are Deep, Natural, or Bright. Pause, Resume, and Stop controls let you move through the text at your own pace. Hearing your writing catches errors your eyes have learned to overlook, which is why Read Aloud is one of the most effective proofreading methods working writers use and one of the most underused features in text-analysis tools.

This tool includes free text to speech with downloadable audio — no paid service or API key needed at any point. If you used Voice Input, download your dictation as WAV, WebM, or OGG — WAV for widest compatibility, WebM for smaller file size, OGG as an open format. If you only used Read Aloud, the Download Audio button captures the narration using tab audio sharing in Chrome and Edge. No signup required. You can also share the audio file directly from the browser on supported devices via the Web Share API. This combination — free Read Aloud with a downloadable file, no backend API, no account — is genuinely rare among free writing tools.

The PDF export produces a finished report with a colored header bar and page numbers — useful for students submitting proof of word count and readability, or professionals sharing a content quality report with a client. Note: the first time you choose PDF, the tool loads a small open-source file-generation library called jsPDF from a CDN to create the PDF — this is a one-time download of the library itself, not your text. Your text and results never leave your device at any point in any export format.

The HTML export produces a clean, print-ready page with a highlight strip at the top showing Words, Characters, Reading time, Flesch score, and Sentiment at a glance — useful for anyone who wants a quick, presentable look without opening another app.

The CSV export produces spreadsheet rows organized by section, metric, and value, useful for tracking readability across multiple drafts in Excel or Sheets — the format writers and editors reach for when they want to chart or compare results over time rather than just read them once.

The JSON export produces structured data a developer can process programmatically — the format to reach for when results need to feed into another script, dashboard, or archive rather than be read directly by a person.

The TXT export produces plain text for pasting into another document, ticket, or plain-text context — the simplest format, with no formatting to strip out on the other end.