Russian Text Humanization

What problem does it solve?

Removes common AI-generation markers from Russian-language text to make drafts, articles, and marketing copy read as if written by a human author. It targets lexical giveaways, calques from English, overuse of deverbal nouns, sterile rhythm, and canned polite openings that reveal machine origin.

Core Features & Use Cases

• Lexical cleanup: Removes or replaces flagged words and phrases (e.g., "является", "позволяет", "данный") with more natural alternatives or rephrasing.
• Syntactic humanization: Breaks monotony by varying sentence length, switching word order away from SVO calques, and converting deverbal nouns back to verbs.
• Voice and persona: Injects measured colloquial elements, authorial opinions, errors of register, and concrete specifics (names, times, versions) to establish a human tone.
• Checklist-driven validation: Provides a pre-publication checklist so editors can verify absence of AI markers and presence of humanizing signals.
• Use Cases: Polishing Habr/technical articles, marketing copy, blog posts, and any Russian text that must avoid AI-detection or feel authentically authored.

Quick Start

Give a draft Russian article and ask: "Humanize this text by removing AI-style markers, replace canned phrases, vary sentence rhythm, and return a checklist of applied changes."