Document Batch Processing Efficiency Improvement Strategies
For scenarios where hundreds of documents need to be processed, Markdownify MCP Server offers the following optimizations:
- Folder batch processing: Put all files in input_folder, execute:
node dist/index.js --dir input_folder --output-dir output_folder - concurrent processing: Adjust the maxWorkers parameter in config.js (it is recommended not to exceed the number of CPU cores) to significantly improve processing speed.
- automation script: With the watch function, you can monitor the specified folder to realize automatic conversion:
--watch input_folder --interval 30000
Sorting and processing skills:
- Automatic routing of processing modules by file extension (PDF/IMG/AUDIO separately)
- Specialized post-processing rules for different file types (e.g., preserving slide separators for PPT to Markdown)
- Using naming conventions for automatic categorization (Financial_Report_Q1.pdf→/finance/)
This solution is particularly suitable for document digitization, knowledge base construction, and other scenarios that require the handling of massive amounts of information.
This answer comes from the articleMarkdownify MCP Server: Converts various content to Markdown format based on the MCP protocol.The
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