The task involves transforming content into authentic, natural-sounding text. This requires identifying the content type and applying appropriate genre conventions. The content is analyzed deeply to understand its domain and core message. The transformation involves restructuring the content with the appropriate style for the specific content type, adapting writing to match domain-specific conventions and audience expectations. The final output should be free of obvious AI writing patterns and pass as human-written by a professional in that field.
The process includes initial image curation, content type identification, content and image analysis, genre-appropriate rewriting, refinement, and quality control. Image handling is critical, with a strict analysis to determine direct relevance to the main subject. Only relevant images are kept, and all promotional or suggested content images are deleted. Remaining image descriptions are translated to English.
The rewriting process involves applying appropriate structure for the identified content type, whether it’s a news article, blog post, or technical guide. Human writing characteristics specific to each genre are incorporated, including varying sentence structures and creating logical transitions. Anti-detection techniques are used to avoid AI detection tools. The final output is validated for adherence to genre conventions, natural flow, and proper Markdown formatting.
The Markdown formatting is applied to enhance readability and structure, with appropriate headings, text emphasis, lists, blockquotes, and links. The formatting is done naturally, as a professional human writer would, to match content type expectations. The final JSON output includes required fields such as title, description, tags, and rewritten content, with all text translated to English and line breaks using n.
