quality-mimo

Automating quality checks for a writing project involves running scripts that analyze text for word count, banned words, consistency, and logic errors, then automatically repairing certain issues to ensure adherence to publication standards.

Cross-chapter consistency checking analyzes text across multiple chapters to detect logical discrepancies and formatting inconsistencies, ensuring that narrative elements and terminologies remain uniform throughout the entire writing project.

Yes, you need Python installed along with specific libraries like pypdf and pdfplumber, because the quality checks and automated repairs rely on these dependencies to parse documents and execute consistency checks.

Yes, automated repair features can instantly identify and correct banned words, alongside adjusting word count issues, streamlining the text analysis process to maintain strict writing quality and compliance.

The best way to normalize punctuation is using a dedicated consistency-check module that scans the writing project to standardize punctuation marks, correcting stylistic deviations automatically to ensure uniform formatting.

You should use PDF parsing libraries like pdfplumber when your writing project is exported as a PDF, allowing the text analysis scripts to accurately extract content for consistency checks and subsequent automated repairs.