Free tools / Voice analyzer

Writing voice analyzer: measure how you actually write

Paste five things you have written yourself: LinkedIn posts, emails, newsletter paragraphs. Klype measures the patterns in them and returns a voice fingerprint you can use to brief a writer, an editor or an AI tool.

Free with your work email: 5 runs shared across Klype's free tools. You get a 6-digit code by email, no password and no card.

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Want this for every post? Klype keeps one record of your product, your buyer and your measured writing voice, drafts from it, and checks every draft for unsupported claims and machine-writing patterns. You publish yourself; Klype never posts for you. Start the 7-day free trial, no card needed. Plans from $39 a month.

What a writing voice analyzer measures

"Write in my voice" is the most common instruction people give AI tools, and the least useful, because the tool has no idea what your voice is. Tone words such as "friendly" or "professional" do not help either: thousands of people are friendly and professional, and none of them write alike. What separates writers is measurable. How long your sentences run, and how much that length varies. Whether you use contractions. How often you write fragments. Which punctuation you reach for and which you never use. The words you return to.

This analyzer reads samples you wrote yourself and reports those patterns as numbers and plain statements. That gives you something concrete to hand to a ghostwriter, an editor or an AI model, and something to check drafts against.

How to get an accurate result

  1. Use your own writing. Posts you wrote without AI help, emails to clients, newsletter paragraphs. If you paste AI drafts, you will measure the AI.
  2. Use the same kind of writing you want to produce. For LinkedIn, paste LinkedIn posts. Formal reports measure a different voice.
  3. Give it range. Five to ten samples across different topics is better than three on the same subject. Each sample needs 40 to 3,000 characters.
  4. Separate the samples. Put a line containing only three dashes (---) between samples so each is measured on its own.

How to use your voice profile

  • Brief a writer. Paste the summary into your brief so a ghostwriter knows, for example, that you keep sentences short and never use exclamation marks.
  • Prompt an AI tool. Concrete constraints such as an average sentence length or "uses contractions" steer a model further than "sound like me".
  • Edit your own drafts. When a draft feels off, compare it with your numbers. Usually the rhythm is too even or the sentences run long.
  • Spot machine writing. Machine-written text tends to have very even sentence lengths and paragraph sizes. Our note on flat rhythm explains why that reads as artificial.

Why measured voice matters more than prompts

Our 2026 study of AI-written LinkedIn posts looks at the patterns that make a post read as machine-written. A voice profile gives you a fixed reference so drafts are judged against how you write, not against how the average post reads. The guide to teaching Klype your writing voice shows how the full workspace stores this profile and holds every draft to it.

Privacy

Your samples are used to compute the profile. Your email counts your runs, and you only receive marketing notes if you tick the optional box.

Questions

What is a writing voice analyzer?

A tool that measures the patterns in your own writing, such as sentence length, rhythm, punctuation and contractions, and reports them so you can describe your voice precisely instead of with tone words.

How many samples do I need?

Exactly 5, each 40 to 3,500 characters. Posts on different topics give the most reliable profile.

Is it free?

Yes. You confirm your email with a 6-digit code; there is no password and no card. You get 5 free runs shared across the free tools.

Can I use the profile with ChatGPT or Claude?

Yes. Copy the summary into your prompt or custom instructions. Specific constraints work better than asking a model to sound like you.

What does the humanity score mean?

It summarises how your samples compare with patterns common in machine-written text, such as very even sentence lengths. Use it as a reference point, not a verdict.

Does Klype store my samples?

In the free tool, samples are used to compute your profile. In the paid workspace, your profile is saved so every draft can be checked against it.

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