Online Word Frequency Counter — Count Every Word in Seconds
Updated: May 2026
A word frequency counter ranks every unique word in a text by how many times it appears. The result is an immediate, data-driven view of your text's vocabulary distribution — what dominates, what supports, and what may be overused or absent.
Free · No account · No upload · Instant
What a word frequency counter does
At its core, a word frequency counter performs three operations: it tokenizes a text (splits it into individual words), counts how many times each unique token appears, and returns a ranked list sorted by frequency. The output — a table of words, counts and percentages — transforms a continuous piece of writing into a structured dataset about its own vocabulary.
This deceptively simple operation has applications across writing, editing, SEO, research and data analysis. The same ranked word list that helps a novelist spot overused adjectives also helps an SEO specialist verify keyword density, helps a researcher perform preliminary corpus analysis, and helps a UX writer audit terminology consistency across a product's interface copy.
The Flowfiles word frequency counter adds several layers beyond the basic count: stop word filtering, keyword density calculation, visual bar chart for the top words, search within results, alphabetical or frequency sort, and export to CSV, JSON or plain text — all running locally in your browser without any upload.
How to use the online word frequency counter
- Paste or drop your text. Copy text from any source — a document, a web page, an email, a research paper — and paste it into the input area. Alternatively, drag a .txt file directly onto the text box.
- Configure the options. Choose whether to ignore case (recommended for most analyses), filter stop words (recommended for content and SEO work), exclude numbers, and set a minimum word length. The defaults work well for most use cases without any adjustment.
- Set the result limit. The "Top N words" field controls how many results appear. The default is 50. Raise it to 200 or 500 to see more of the tail distribution — words that appear only once or twice.
- Click Analyze. Results appear instantly. The statistics panel shows total words, unique words, characters and sentences. The bar chart visualizes the top 15 words. The full ranked table appears below.
- Search and sort. Use the search box to look up any specific word without scrolling. Toggle between frequency sort and alphabetical sort to explore the results in different ways.
- Export if needed. Download the results as CSV for Excel, JSON for code, or plain text for sharing. All exports are generated locally and downloaded directly to your device.
Word counter vs. word frequency counter: what's the difference?
A standard word counter answers one question: how many words are in this text? The answer is a single number — "1,247 words". This is useful for meeting length requirements for academic submissions, articles with word limits, or content briefs that specify a target range.
A word frequency counter answers a richer set of questions: which words appear, how often does each appear, and in what proportion to the whole? The output is a ranked list of every unique word with its count and percentage. This is the difference between knowing the population of a city and knowing the distribution of neighborhoods within it.
The Flowfiles tool provides both: the statistics panel at the top of the results shows the total word count, while the frequency table reveals the full distribution. You do not need a separate word counter if you have a word frequency counter.
Understanding keyword density in the results
The density column in the frequency table shows each word's count divided by the total word count of the document, expressed as a percentage. This number is the basis of keyword density analysis for SEO content.
A word appearing 15 times in a 1,000-word text has a density of 1.5%. In SEO content strategy, a primary keyword at 1–2% density is generally considered well-calibrated — prominent enough to signal topical relevance, not so frequent as to appear artificially inflated. Words appearing above 3% warrant review; values above 5% are a strong indicator of keyword stuffing.
The density figure is also useful for writing quality checks. Any non-technical content word appearing above 2% in a general-purpose article is a candidate for variety. "Important" at 2.3% in a business blog post means you used the word roughly once every 40 words — noticeable to any attentive reader.
Frequently asked questions about word frequency counters
How does the tool handle punctuation and contractions?
With the "Strip punctuation" option enabled (default), punctuation is removed before tokenization. Contractions like "don't" are treated as a single token — "don't" counts as one word, not "don" and "t". Hyphenated compounds like "well-known" are split at the hyphen into two tokens.
Does case-insensitive mode merge all forms?
Case-insensitive mode merges words that differ only by capitalization: "Content", "content" and "CONTENT" all count toward the same entry. It does not stem or lemmatize — "run", "running" and "ran" count as three separate words. This is deliberate; stemming changes which form appears in the results table, which can be confusing.
What is the maximum text size I can analyse?
There is no hard limit. The tool handles texts up to several hundred thousand words on modern hardware without performance issues. For very large texts (book-length or longer), the analysis may take 1–2 seconds. The primary constraint is your device's available RAM.
Why do some very short words still appear after filtering?
The stop word list covers common English function words, but cannot anticipate every short content word that might appear in a specific domain. Use the minimum word length filter (set to 4 or 5) to exclude very short tokens, and use the custom stop words field to add domain-specific words you want to exclude.
Can I analyse text in languages other than English?
Yes — the tokenizer splits on whitespace and handles UTF-8 text correctly, so it can count word frequency in any language. However, the stop word list is English-only. For other languages, turn off the stop word filter and use the custom stop words field to add your own language-specific function words.
Why browser-based is better for this tool
Many text analysis tools work by sending your text to a server, processing it remotely, and returning results. This approach introduces latency, requires a server to be online, and — most importantly — means your text is transmitted over the internet and processed on infrastructure you do not control.
Browser-based processing eliminates all of these concerns. The analysis runs on your own device, results appear without any network round-trip, and your text never leaves your browser tab. For sensitive documents — legal briefs, unpublished manuscripts, confidential business plans, personal correspondence — this architecture provides genuine privacy by design rather than privacy by policy.
The tool works offline after the initial page load. If you need to analyse sensitive documents on an air-gapped machine or in an environment without internet access, load the page once while connected, then disconnect. The JavaScript runs entirely from your browser's cache.