Use case · Text Analysis
Text Analyzer For Professionals
Business writing tools for emails, reports, proposals, and professional documents
You're here for for professionals: open text analyzer in your browser, paste your draft, and use the live stats to check length and structure before you publish. No account.
- Cost
- Free
- Signup
- Not required
- Runs
- In your browser
- Setup
- Instant

Open Text Analyzer for this workflow
The workflow is simple: paste your document or email draft, verify it fits the professional length standard, then send with confidence. Text Analyzer handles the understanding how readers experience your text — time, difficulty, and structure part — you handle the writing.
Open Text AnalyzerWhat you get
- Professional grammar and spelling checks
- Word count for reports and proposals
- Readability analysis for business documents
- Professional text editing and formatting

Examples
Email length optimization
Report word count requirements
Proposal formatting and editing
Business document readability checks
Who it's for

By the numbers
Numbers worth checking before you ship for professionals
Citation-grade reference points the for professionals workflow runs into.
155–160 chars
Recommended SEO meta description length
Source: Google Search docs
50–60 chars
Recommended SEO title tag length
Source: Google Search docs
1,500–2,500 words
Common range for SEO long-form blog posts
Source: Industry analyses (HubSpot, Backlinko)
Length targets that move the SEO needle
These are the ranges most analyses agree on. Treat them as ranges, not rules — intent and format matter more than hitting an exact count.
| Field | Recommended length | Why |
|---|---|---|
| Title tag | 50–60 characters | Avoids truncation in Google SERP |
| Meta description | 155–160 characters | Snippet display before truncation |
| H1 heading | 20–70 characters | Readable headline, not a sentence |
| URL slug | 3–5 words / 60 chars | Crawl-friendly and shareable |
| Long-form blog post | 1,500–2,500 words | Topical depth without padding |
| Pillar / hub page | 3,000–5,000 words | Comprehensive coverage of a topic |
What Text Analyzer includes
Highlight
Comprehensive text statistics
Readability analysis
Word frequency analysis
Writing style insights

Ready to try it?
Emails under 200 words get 50% more replies. Executive summaries over 500 words get skipped. Paste your draft and know instantly whether you are in the right range.
Try Text Analyzer FreeFrequently asked questions
Is Text Analyzer free for for professionals?
Does Text Analyzer fit a business professionals's workflow?
What does Text Analyzer measure during for professionals?
Can I trust the counts Text Analyzer shows for for professionals?
Is my text private when I use Text Analyzer for for professionals?
Can Text Analyzer be used on a phone for for professionals?
What's the typical for professionals workflow with Text Analyzer?
Glossary
Concepts you'll see while using this tool
Short, source-backed definitions of the terms behind Text Analyzer.
- Word countSource ↗
- The total number of word tokens in a piece of text, typically derived by splitting on whitespace and punctuation. Common in publishing, education, and SEO as a length metric.
- Character countSource ↗
- The total number of code points (or graphemes, in Unicode-aware tools) in a text. Platforms like SMS and Twitter enforce limits in characters, not words.
- UnicodeSource ↗
- The international standard that assigns a unique number to every character in every script. Modern text tools use Unicode so counts work consistently across languages and emoji.
- ReadabilitySource ↗
- How easy a text is to read, measured by formulas that combine sentence length, word length, and syllable counts. Higher readability typically means shorter sentences and simpler words.
- Flesch–Kincaid grade levelSource ↗
- A readability formula that maps text difficulty to a US school grade level using sentence length and syllables per word. A score of 8 means a typical 13-14 year-old should understand it.
- Intl.SegmenterSource ↗
- A JavaScript API that splits text into Unicode graphemes, words, and sentences using the same locale rules browsers use natively. Tools that use it count complex scripts correctly.
How we count, and when this page was checked
Word and character counts on this page use the browser's Unicode-aware Intl.Segmenter API, so figures match the underlying graphemes rather than guessing from byte length. Reading-time estimates default to 238 wpm (Brysbaert, 2019). Last editorial review: 2026-05-18.
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