proofread

You can automate notebook prose quality checks by scanning all markdown cells in the notebooks_colab directory to detect concatenated words, missing spaces, doubled words, broken LaTeX, unclosed formatting, broken links, emoji remnants, camelCase, and long paragraphs. It generates structured JSON reports and optionally applies fixes with backup creation.

Batch processing text quality checks across chapter notebooks is supported by scoping the analysis to the notebooks_colab directory. The tool processes all markdown cells, outputs a proofreading score with an issue breakdown, and returns JSON output for programmatic integration across all chapters.

Yes, automated fixes for broken LaTeX, unclosed formatting, and other text issues are available using the --fix option. The workflow creates backups before applying corrections to ensure your original notebook content remains safe while restoring professional prose quality.

Yes, detecting concatenated words and missing spaces after punctuation are core automated checks. The workflow scans markdown cells to identify these specific prose-quality issues alongside doubled words, broken links, emoji remnants, camelCase in prose, and long paragraphs.

You get a structured report of prose issues via JSON output designed for programmatic integration. The proofreading score and issue breakdown are returned in JSON format, allowing downstream pipelines to consume the text-quality results from the chapter notebooks automatically.

Text quality issues caught in education and research notebooks include concatenated words, missing spaces after punctuation, doubled words, broken LaTeX, unclosed formatting, broken links, emoji remnants, camelCase in prose, and long paragraphs, ensuring professional prose and accurate content.