Stylistic Fingerprint

Build an author's stylometric profile: sentence length, vocabulary richness, punctuation habits. Compare two texts by style or anonymize the style.

Enter a page URL — text will be automatically extracted for analysis

Language

Action

Key facts

Online stylometric analysis: paste text of 100+ characters and get a writing profile across 15 metrics, compare two texts by style or neutralise the style toward a chosen sample. Free, no sign-up. This is statistics, not expert forensics: authorship cannot be proven from the result.

Price: Free
Sign-up: Not required
Processing: On our server: a Python module of the TextHumanize library computes the style profile, similarity and anonymization
Input: Text from 100 to 50,000 characters (300+ words is better) or a page URL; a second text for comparison; a style preset for anonymization
Limits: 15 requests per minute per IP; minimum 100 characters, maximum 50,000; no sign-up; the result is a statistical profile, not proof of authorship
Output: A stylometric profile with 15 metrics; for comparison, the similarity percentage of two texts; for anonymization, the text rewritten to a preset, similarity to the target style before and after, and similarity to the original
Last updated: 2026-10-16

See it in action

Stylistic Fingerprint: comparing the style of two short texts — interface and result — Build an author's stylometric profile: sentence length, vocabulary richness, punctuation habits.

Close-up of the result: Author Stylometric Profile.

Diagram: How to Use — Stylistic Fingerprint — Paste your text for stylometry analysis → Review author profile and statistics → Compare with another text or anonymize style

Text stylistic fingerprint — author profile

Build an author's stylometric profile across 15 metrics: sentence and word length, vocabulary richness, punctuation habits, sentence openings. Compare two texts by style or anonymize the style.

Author stylometric profile (8+ parameters)

Style comparison of two texts (similarity in %)

Style anonymization — removing authorial fingerprint

Average sentence length, lexical richness

Share of complex, question and exclamation sentences

Punctuation fingerprint

How to Use

Paste your text for stylometry analysis
Review author profile and statistics
Compare with another text or anonymize style

FAQ

It is a statistical description of the manner of writing: sentence and word length, vocabulary variety, punctuation, function-word frequency and so on. Such a profile is used to compare the styles of texts and judge how similar they are.

Paste text (100+ characters, ideally 300+ words) or a page URL, pick the language and a mode: profile, comparison of two texts or anonymization. No sign-up; the limit is 15 requests per minute.

No. Style similarity is a statistical signal, not proof: different people write alike and one author changes manner. Scholarly attribution needs large text corpora and specialised packages.

It rewrites the text so its metrics move toward a chosen preset (journalist, blogger, copywriter, student, scientist) and shows similarity to the target style before and after. The automatic output needs a human read.

At least 100 characters and at most 50,000. A short sample gives a noisy profile, though. To compare two authors, take texts of several hundred words in a similar genre.

The text is sent to our server and processed by a Python module; we do not save the result in a profile or history. Still, do not upload confidential or unpublished material.

Who it is for and typical uses

Editors and content teams. Compare texts by different authors or contractors to see how consistent the brand style is.
Writers. A profile across 15 metrics shows how you write: sentence length, vocabulary variety, punctuation. It helps you refine your own style.
“Was it written by one hand?” Similarity between two texts is a reason to look closer, not proof: different people can have close styles.
Anonymization. To remove a recognisable manner of writing, the text is rewritten toward a preset (journalist, blogger, copywriter, student, scientist).

Honest limitations

This is not forensic analysis. The similarity percentage is statistics over small samples. Serious authorship attribution needs large corpora and proven methods.
Short texts are unreliable. The minimum is 100 characters, but a meaningful profile appears from roughly 300 words.
Anonymization is automatic. It moves the metrics toward the preset but does not guarantee that the author cannot be identified by vocabulary, topics or facts. Reread the result.
One language per run. Select the text's language; on mixed-language texts the metrics are distorted.
The text is processed on a server. Do not upload confidential material.

PromoPilot vs alternatives: comparison

We compare only what is confirmed on each service's own pages. Where we could not confirm a fact, the cell shows "—".

Parameter	PromoPilot	stylo (пакет R)	JGAAP
Free and limits	Yes: 15 requests per minute, up to 50,000 characters	Free software, GPL (≥ 3); no price stated	Open source; no price stated on the page
Installation needed	No, in a browser	Yes: R (≥ 3.0) is required	Yes: a Java program, releases on GitHub
Large text corpora	✗	✓ supervised and unsupervised multivariate methods, with a GUI	✓ machine learning for text attribution problems
Style anonymization	✓	—	—
License	Online service	GPL (≥ 3)	AGPLv3.0

Scroll the table sideways

Where we are weaker: it compares at most two texts and cannot work with corpora, clustering or training on author samples; the result is a simplified profile, not scholarly attribution.

When to choose PromoPilot: When you want a quick estimate of how similar two texts are in manner of writing, to see your own style profile or to neutralise it toward a sample. For scholarly authorship attribution with large corpora, use specialised packages such as stylo or JGAAP.

Checked on: 2026-10-16. "—" means not confirmed on the official page; terms and prices change, so check the services' own sites.