Word Frequency Counter: How It Compares to the Alternatives
Reviewed by the FreeOnline.fyi team · Updated 2026-09-16
What happens when you paste text
The page is one textarea with a results table underneath it. Paste an article, essay, transcript or raw data dump and the table fills in as you type — there is no submit button, and results refresh after a short (~150 ms) debounce so that even large pastes stay responsive while you keep editing.
Under the textarea sits a small summary strip: total words, unique words, characters. Below that, the 20 most frequent words ranked by count, with each row showing rank, word, count and that word's share of everything analyzed. Ties break alphabetically, which keeps the ordering stable if you re-paste the same text later.
"Download CSV" writes word-frequency-top20.csv directly from the browser — header row plus rank, word, count, percentage — so the numbers drop straight into a spreadsheet without retyping. Nothing is uploaded; the whole pass runs locally in the tab.
Compared with Word, AntConc and scripts
A desktop word processor gives you a total count and very little else. It will not tell you that "customer" appears 31 times while "client" appears 4 — which is exactly the kind of mismatch that makes a draft read as repetitive without the writer noticing.
Corpus tools like AntConc, or a ten-line Python script using collections.Counter, are far more capable: lemmatization, n-grams, concordance lines, regex filters, multi-file corpora. If you are doing linguistic research across millions of words, use one of those. The price is setup — install, import, format conversion and a query syntax you have to remember each time.
The gap this tool fills is the sixty-second question: "am I overusing a word in this draft?" Open the Word Frequency Counter, paste, read the table, close the tab. No account, no file upload, no install, no config file.
The stopword toggle, and when to use it
By default every token counts, so the top of the table is dominated by the, and, of, to, a. That is genuinely useful when you are checking the rhythm of function words or the readability of a passage, but it is pure noise when what you want to know is what the piece is about.
Flip "Ignore common words (the, and, of…)" and a built-in English stopword list is applied before ranking, so content words surface. Use that mode for keyword-density checks, essay topic analysis, or checking whether your conclusion has drifted away from the vocabulary of your thesis statement.
The list is English-only, so for French, Spanish, German or Chinese text you should leave the toggle off and read the raw ranking instead. It is also worth knowing that surface forms are counted separately: "run" and "running" land in different rows, and so do singular and plural nouns. There is no stemming or lemmatization here — the background on stop words explains why different tools draw the line differently.
Reading keyword density sensibly
The percentage column is that word's share of the total words analyzed. If a 1,000-word draft uses "workflow" 14 times, the row reads 14 and 1.4%. Simple arithmetic — but the denominator depends on the mode you are in, so avoid comparing a percentage from a stopwords-off run with one from a stopwords-on run. Pick a mode, stick with it, and compare like with like.
Search engines do not publish a keyword-density threshold, and chasing a magic number is wasted effort. Where this table earns its keep is relative comparison: if "invoice" shows up 22 times and "receipt" twice, your page is telling a skewed story about which one it covers. That is an editorial signal, not a ranking formula.
Natural language word frequencies roughly follow Zipf's law — a handful of words dominate and a long tail appears once or twice. So a steep drop-off after the top few entries is normal, not a warning sign, and a flat, evenly spread list is the unusual case worth investigating.
Privacy, limits and edge cases
Nothing leaves the page. The counting runs in JavaScript inside your browser, which matters if you are pasting client contracts, unpublished manuscripts, interview transcripts or anything under an NDA. There is no server round-trip to log, because there is no server round-trip at all.
The tool handles roughly 2 million characters comfortably. Push well past that and you should expect the tab to slow down or crash, since browsers have finite memory and a live-rendering table over an enormous paste will expose it. For genuinely large corpora, chunk the text or move to a proper corpus tool.
Tokenization is a judgment call in every counter ever written. Hyphenated compounds, numbers, URLs, apostrophes and emoji can be split or kept together, and different tools disagree about all of them. If one specific token matters to your analysis, check it against the raw text rather than trusting any counter's output — and remember the table stops at 20 rows by design, so the CSV only carries what is displayed. Percentages are rounded; verify anything you plan to publish or grade.
Fitting it into a writing workflow
The most practical routine we have seen is a two-pass edit. Run the whole draft first with stopwords off to see function-word load, which is a decent proxy for how heavy the prose feels; then toggle them on to check what the piece is actually about and whether any content word is carrying too much weight for its importance.
For SEO work, hold the top-20 content-word list next to your target query. If your primary phrase never appears in the list while an unrelated term dominates, that is a signal to revise the copy — not a prompt to stuff the keyword in. The numbers update live, so you can paste, delete a paragraph, and watch the counts and percentages shift immediately.
It pairs naturally with other quick checks, and it sits in the same no-signup spirit as the rest of the free tools on FreeOnline.fyi. One practical aside: if the edit ends up being discussed on a call with a co-author abroad, the World Time Meeting Planner is the adjacent tool we reach for so the scheduling does not eat the meeting.