Online SEO Text Analyzer
Local SEO writing tool
Analyze keyword density and text structure
Review repetition, vocabulary and readability without uploading your draft.
Analysis results
Most frequent meaningful terms
| # | Word or phrase | Count | Density | Review |
|---|
Target phrase check
| # | Word or phrase | Count | Density | Review |
|---|
This online SEO text analyzer turns a draft into transparent editorial metrics. It counts words and characters, identifies frequent meaningful terms, checks optional target phrases, estimates stop-word share and measures vocabulary and sentence structure. The purpose is to reveal patterns worth reviewing—not to manufacture a score that promises search rankings.
What the SEO text analysis includes
Paste an article, landing page, category introduction or product description into the analyzer. You can also enter up to 20 target words or phrases separated by commas or new lines. After you select Analyze text, the browser creates a summary and two frequency tables.
- Characters with and without whitespace
- Total and unique word counts
- Vocabulary diversity, calculated as unique words divided by all words
- Stop-word share for detected English, Russian or Spanish text
- Sentence and paragraph totals with average sentence length
- Most frequent meaningful terms and their density
- Exact occurrence counts for the target phrases you provide
How keyword density is calculated
Density is the number of appearances divided by the total number of words, expressed as a percentage. If a term appears 5 times in a 200-word sample, its density is 2.5%. The table highlights terms above simple review thresholds so that accidental repetition is easy to notice.
Those labels are not universal SEO rules. A brand name, technical term or product model can naturally occur often, while a lower percentage can still sound forced when every use appears in an awkward sentence. Read the draft after reviewing the numbers and keep only repetitions that help the reader.
Stop words, vocabulary and readability
Stop words are common grammatical connectors: articles, prepositions, pronouns and similar units. They carry less topic information than a specific noun or verb, but they are essential to natural language. The analyzer reports their share as context; it does not label every stop word as unwanted “fluff.”
Vocabulary diversity shows how many different tokens appear in the sample. Very short text normally has a high percentage, and long explanatory text usually has a lower one. Average sentence length is classified as easy to scan, dense or very dense. Treat that classification as a prompt to inspect long passages rather than a requirement to make every sentence identical.
A practical SEO editing workflow
- Analyze the complete draft, not an isolated headline.
- Add the main query and close variants to the target-phrase field.
- Check whether important concepts appear and whether one term dominates unnaturally.
- Review sentences with repeated wording and replace only the repetition that reduces clarity.
- Read the revised text aloud and run the analysis again for comparison.
Google’s published guidance recommends helpful, reliable, people-first content and identifies unnatural repetition used to manipulate rankings as keyword stuffing. It does not publish one required density percentage. Use this analyzer alongside factual review, search-intent research, internal linking and technical SEO—not as a substitute for them.
Local and private analysis
Tokenization, language detection and frequency calculations run locally in the browser. The article and target phrases are not sent to GetMyPassword. The copied report contains only the metrics and frequency table, not the full original draft.
Frequently asked questions
What does the SEO text analyzer measure?
It counts words and characters, estimates vocabulary diversity and stop-word share, measures sentence length, and lists frequent terms and requested key phrases.
What is keyword density?
Keyword density is the number of appearances divided by the total word count. It describes repetition but does not predict rankings by itself.
Is there an ideal keyword density?
No universal percentage fits every query or document. Use the table to notice accidental repetition, then prioritize clear, useful and natural writing.
What are stop words?
Stop words are common connecting words such as articles, prepositions and pronouns. They are necessary for readable language; their share is context, not a pass-or-fail score.
Does GetMyPassword store the analyzed article?
No. Tokenization, frequency tables and all calculations run in the browser, so the pasted draft is not submitted to our server.