Keyword density equals a word's occurrences divided by total word tokens multiplied by 100, and the browser-based Keyword Density Checker on Android applies that exact formula to whatever draft text you paste into your phone. The tool counts total word tokens, unique normalized tokens, the 50 most frequent eligible single words, and an optional contiguous keyword phrase, then reports each percentage using a disclosed denominator. It does not promise rankings, fetch URLs, send text to a server, embed a stop-word list, or guess at an optimal density target. Every calculation runs locally in the current Chrome tab or other browser tab on the device, which makes the workflow practical for drafts you do not want to upload, paste into an unknown app, or share with a third-party service. On Android this means you can copy text from Google Docs, a notes app, an email draft, or a content management system, switch to your browser, and inspect the same copy without leaving the phone or risking exposure of unfinished work.
Why an Android browser workflow makes sense
Mobile SEO writing often happens away from a desk. Drafts may live in a notes app, a Google Doc, an email reply, or a content management system editor opened in a phone browser, and the writer wants a quick read on repetition before publishing. A native Android app can install, request permissions, and push text through unknown infrastructure, which is unnecessary when the analysis only needs a count of word tokens and a percentage. The Keyword Density Checker runs in the standard mobile browser, accepts pasted text up to 500,000 characters, and returns the report on the same screen. No account is required, no file is uploaded, and the input is never sent to an AI model or a remote endpoint. For Android writers who treat drafts as sensitive material, this local calculation is the main reason to prefer a browser tool over a marketplace app.
How to run the keyword density checker on Android
The phone-friendly workflow uses your existing browser rather than a dedicated app. Follow these steps on any Android device.
- Open Chrome, Samsung Internet, or another mobile browser on your Android device and load the Keyword Density Checker page. The interface uses a single column designed for narrow phone screens, so the main controls and result area do not require horizontal scrolling.
- Copy the visible body copy you want to inspect from your source app, whether that is Google Docs, Keep, Notes, an email draft, or a CMS editor, then tap into the main text area on the checker page. Long-press and choose Paste, or use the system clipboard share menu. Trim navigation menus, footer blocks, and repeated chrome text before pasting because those templates inflate the denominator and distort every percentage.
- If a specific phrase matters for the piece, type that exact phrase into the keyword field. The phrase is matched as a contiguous token sequence using the same Unicode rules, and partial or fuzzy matches are not counted, so type it word-for-word as it appears in your prose.
- Use the minimum word length control to choose how many characters a single-word row needs before it appears in the frequency table. A value of two hides one-character rows; a value of three hides two-character rows. Remember this control only changes the display, not the underlying counts.
- Tap Check keyword density and wait for the report to render. The page returns total words, unique words, the 50 most frequent eligible single words, and the optional phrase with a percentage. Stay on the same tab while you read, because the report is computed in the current page and is not stored remotely.
- Read the surrounding sentences, not just the percentages. Use the report to notice accidental repetition, missing terminology, or editorial imbalance, then return to your draft app and revise the prose for readers rather than for a numeric target.
Each step runs inside the same browser tab without an internet round trip to an analysis service, which is why a phone on a metered or slow connection still produces the report as soon as JavaScript finishes the local pass.
Reading the frequency table on a small display
The frequency table is capped at 50 rows to keep the mobile interface readable, while total and unique counts still cover every token in the input. Rows sort by descending count and then alphabetically for deterministic ties, so two words with the same count always appear in the same order across runs. Each row shows the word, the raw count, and the density percentage, with every percentage dividing the count by the full token total rather than by the filtered set. The phrase row sits at the top of the optional block, displays the exact phrase you typed, the number of overlapping occurrences, and the phrase density calculated as occurrences divided by total tokens multiplied by 100. On a phone this compact view fits without horizontal scroll, but you can rotate the device to landscape if you want a wider reading surface for longer phrases.
| Report element | What it shows | Driven by |
|---|---|---|
| Total words | Every recognized token in the pasted text, including words hidden by the table filter. | Full Unicode tokenization pass |
| Unique words | Count of distinct normalized tokens, regardless of how often each appears. | Unicode lowercase normalization |
| Single-word rows | Up to 50 eligible terms with raw counts and density. | Minimum word length control + frequency sort |
| Optional phrase row | Occurrences and density of the exact contiguous phrase typed in the keyword field. | Same tokenization, contiguous overlap match |
| Every percentage | count divided by total tokens multiplied by 100. | Documented denominator, unchanged by display filters |
What the density formula actually shows
Each percentage in the report follows the same simple math: the word's count, divided by total word tokens, multiplied by 100. The denominator does not change when you raise the minimum word length to hide short rows, and it does not shrink when the phrase field is left empty. A worked example makes the rule concrete. Take the sentence "Red blue red. RED green blue red-blue." The tokenizer finds eight total tokens because the dash inside red-blue separates it into two tokens and matching is case-insensitive through Unicode lowercase conversion. After lowering, red appears four times for a 50% density, blue appears three times for 37.5%, and green appears once for 12.5%. The exact phrase red blue matches twice as a contiguous sequence, producing a phrase density of 25% under the same denominator. Step by step: 4 divided by 8 multiplied by 100 equals 50; 3 divided by 8 multiplied by 100 equals 37.5; 1 divided by 8 multiplied by 100 equals 12.5; and 2 divided by 8 multiplied by 100 equals 25. The numbers add no special weighting for phrase length or starting positions; every percentage describes the same document through the same lens.
Practical limits when checking drafts on a phone
Three boundaries matter on Android. First, the input is capped at 500,000 characters; pasted text past that ceiling is rejected rather than silently truncated, so very long copy needs to be split or sampled rather than assumed to fit. Second, empty or token-free content is refused instead of returning a misleading zero report, so a pasted block of punctuation, numbers, or markup alone will not produce a frequency list. Third, the analysis deliberately has no built-in stop-word list, stemming, lemmatization, synonym expansion, language detection, HTML boilerplate remover, or search-volume data. Those features require language- and corpus-specific reference choices the tool does not make for you, so removing navigation, footer, and template text before pasting is part of the workflow rather than a hidden preprocessing step. The checker does not fetch a URL, render JavaScript, compare competitors, connect to Search Console, estimate ranking difficulty, or publish content. Everything runs in the current browser tab, which is helpful for drafts that should not leave the device, though you should still avoid exposing sensitive text on shared machines.
Using the report to revise your copy
The report is descriptive evidence, not a target. Repeating a phrase to hit a numeric percentage can make copy worse and may look like keyword stuffing, which Google Search Central documents as a spam policy that can harm rather than help visibility. Use the table to spot three patterns instead: an unintentionally repeated word that flattens prose, a missing term that should appear in the piece but does not, and an imbalance where one phrase crowds out the rest of the vocabulary. Revise the surrounding sentences so the word count rises naturally, then re-paste the new draft and compare runs using the same tokenizer and denominator. For a broader walkthrough across devices, see How to Find Keyword Density in Any Text. Keep human editorial judgment and any actual search performance data above any isolated density number, and treat the phone-friendly report as a way to notice patterns the eye misses rather than as a verdict on the draft.
For a deeper look, see Email Obfuscator on Mac: A Safari and Chrome Workflow.