Batch Processing Operation Guide
- Creating an input directory: Put all files to be converted into a unified folder (e.g.
input_files) - Execute batch commands::
node dist/index.js --dir input_files --output-dir output_files - Waiting for processing to complete: The system automatically generates a .md file with the same name for each file.
- Check Output: The results are saved in the specified
output_filescatalogs
Advanced Configuration Options
--thread: Set the number of concurrent processing threads--skip-error: Skip automatically when an error file is encountered--log: Generate detailed processing logs
Performance Optimization Recommendations
For high volume processing of more than 100 files:
- Suggested grouping by type
- Large files can be processed in chunks (e.g., using
--chunk-size 10MB) - Complex documents can be preprocessed to simplify the structure
Typical Application Scenarios
Suitable for projects such as academic paper organization, corporate document archiving, multimedia data transcription, etc. It can save more than 80% of manual conversion time.
This answer comes from the articleMarkdownify MCP Server: Converts various content to Markdown format based on the MCP protocol.The
May not be reproduced without permission:AI productivity tools " How to batch process multiple files with Markdownify MCP Server?
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