The following technical solutions can be adopted to cope with format compatibility issues:
- Output format conversion::
1) Native support program: through the legacy-use command directly exported to PDF/CSV
2) secondary processing solutions: export the original file, call open source libraries (such as Aspose, Apache POI) for format conversion
3) Visual parsing solution: extract structured data using OCR technology for fixed format reports - Content Optimization Strategy::
- Setting paging thresholds to prevent data truncation
- Automatically add timestamps and metadata tags
- Development of a template engine to harmonize header and footer styles - verification mechanism::
1) Document integrity check (via MD5 checksum)
2) Review of key data (e.g., sum total reconciliation)
3) Build a library of error samples to continuously optimize the recognition model
It is recommended that priority be given to testing compatible formats such as Excel 2003 (.xls) before gradually transitioning to the new version.
This answer comes from the articlelegacy-use: adding AI automation interfaces to legacy software without APIsThe
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