Code block identification optimization
Code snippets in technical documentation are often recognized as anomalies due to special typography, which can be improved in the following ways:
- Grammar Hints: Mark the code area with annotations in the original PDF (/* CODEBLOCK */), add the -code-aware parameter during conversion
- font recognition: Configure the -monospace-threshold=0.9 parameter to enhance equal-width font detection
- Post-processing Regular Matching: Runs a preset regular expression on the output file (e.g. matches 4 consecutive spaces or `)
- environmental isolation: Enhanced recognition of code-intensive documents using the -preset=technical pattern.
Validation Methods
After the conversion is completed, you should check: 1) whether indentation is preserved 2) whether special symbols (such as |>) are escaped 3) the relevance of the code comments. Recommended use of mdformat tool for standardized formatting
This answer comes from the articleOCRFlux: Lightweight tool for converting PDFs and images to Markdown》
May not be reproduced without permission:AI productivity tools » How to improve the accuracy of code block recognition in Markdown after OCRFlux conversion?
