Keyword Density & Content NLP Analyzer
Calculate 1-gram, 2-gram, and 3-gram keyword density percentages, filter English stop words, evaluate 6 readability algorithms (Flesch-Kincaid, Gunning Fog, Coleman-Liau, SMOG), and analyze sentence burstiness in browser memory.
| Rank | Keyword / Phrase | Occurrences | Density (%) | Visual Ratio |
|---|---|---|---|---|
| #1 | applications | 2 | 2% | |
| #2 | high | 2 | 2% | |
| #3 | optimization | 2 | 2% | |
| #4 | allows | 1 | 1% | |
| #5 | analyzing | 1 | 1% | |
| #6 | architectural | 1 | 1% | |
| #7 | audience | 1 | 1% | |
| #8 | authoritative | 1 | 1% | |
| #9 | authors | 1 | 1% | |
| #10 | balanced | 1 | 1% | |
| #11 | browser | 1 | 1% | |
| #12 | budget | 1 | 1% | |
| #13 | building | 1 | 1% | |
| #14 | burstiness | 1 | 1% | |
| #15 | calibrate | 1 | 1% | |
| #16 | card | 1 | 1% | |
| #17 | chains | 1 | 1% | |
| #18 | circular | 1 | 1% | |
| #19 | client-side | 1 | 1% | |
| #20 | code | 1 | 1% | |
| #21 | components | 1 | 1% | |
| #22 | confidential | 1 | 1% | |
| #23 | content | 1 | 1% | |
| #24 | controlled | 1 | 1% | |
| #25 | crawl | 1 | 1% | |
| #26 | create | 1 | 1% | |
| #27 | credentials | 1 | 1% | |
| #28 | crisp | 1 | 1% | |
| #29 | data | 1 | 1% | |
| #30 | demand | 1 | 1% |
100% In-Browser NLP & Privacy Guarantee
All text parsing, tokenization, N-gram calculations, syllable counting, and readability indices execute entirely in your local browser memory. Zero articles, drafts, or proprietary copy are uploaded to any server.
Comprehensive Technical Guide & Reference
Paste text or article drafts to analyze keyword frequencies, identify keyword stuffing before publishing, evaluate readability grades, and balance sentence cadence.
11. Step-by-Step: How to Analyze Keyword Density & Readability
Optimize editorial copy for search engines and human readers:
- •Paste Text Content: Input your article draft, blog post, or website copy into the editor.
- •Review N-Gram Frequencies: Inspect 1-gram (single words), 2-gram (two-word phrases), and 3-gram keyphrases with automatic English stop word filtering.
- •Check Density Benchmarks: Verify that target keywords remain within the optimal 1.0% to 2.5% density range without triggering keyword stuffing warnings.
- •Audit 6 Readability Indices: Check Flesch Reading Ease (target: 60-70), Flesch-Kincaid Grade Level, Gunning Fog, Coleman-Liau, SMOG, and Automated Readability Index (ARI).
- •Analyze Sentence Burstiness: Review sentence length variation to ensure natural rhythm and readability.
22. Technical Explanation: Keyword Density & Mathematical Formulas
Keyword density measures the percentage of times a phrase occurs relative to total word count:
- •Optimal Keyword Density: 1.0% - 2.5% for primary keywords.
- •Over-Optimization Warning: Densities above 3.5% risk triggering Google search spam filters.
- •Flesch Reading Ease Score: 90-100 (Very Easy, 5th grade), 60-70 (Standard, 8th-9th grade), 0-30 (Very Difficult, College Graduate).
33. Sentence Burstiness & Human Writing Flow
High-quality human writing naturally alternates between short, punchy statements and descriptive compound sentences. AI-generated text often exhibits flat sentence lengths. Monitoring burstiness ensures engaging editorial cadence.
Frequently Asked Questions
A score between 60 and 70 (equivalent to 8th-9th grade reading level) is optimal for general web audiences, ensuring high comprehension and engagement.
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