OCR/openspec/changes/add-ocr-batch-processing/OFFICE_INTEGRATION.md

Office Document Support Integration

Date: 2025-11-12 Status: ✅ INTEGRATED & TESTED Sub-Proposal: add-office-document-support

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Overview

This document tracks the integration of Office document support (DOC, DOCX, PPT, PPTX) into the main OCR batch processing system. The integration was completed as a sub-proposal under the OpenSpec framework.

Integration Summary

Components Integrated

1. Office Converter Service (backend/app/services/office_converter.py)

   • LibreOffice headless mode for Office to PDF conversion
   • Support for DOC, DOCX, PPT, PPTX formats
   • Automatic cleanup of temporary conversion files

2. Document Preprocessor Enhancement (backend/app/services/preprocessor.py)

   • Added Office MIME type mappings (application/msword, application/vnd.openxmlformats-officedocument.*)
   • ZIP-based integrity validation for modern Office formats
   • Office format detection and validation

3. OCR Service Integration (backend/app/services/ocr_service.py)

   • Office document detection in process_image() method
   • Automatic conversion pipeline: Office → PDF → Images → OCR

4. File Manager Updates (backend/app/services/file_manager.py)

   • Extended allowed extensions to include Office formats

5. Configuration Updates

   • .env: Added Office formats to ALLOWED_EXTENSIONS
   • app/core/config.py: Extended default allowed extensions list

Processing Pipeline

Office Document (DOC/DOCX/PPT/PPTX)
    ↓
LibreOffice Headless Conversion
    ↓
PDF Document
    ↓
PDF to Images (existing)
    ↓
PaddleOCR Processing (existing)
    ↓
Markdown/JSON Output (existing)

Test Results

Test Document

• File: test_document.docx (1,521 bytes)
• Content: Mixed Chinese/English text with structured formatting
• Batch ID: 24

Results

• Status: ✅ Completed Successfully
• Processing Time: 375.23 seconds (includes PaddleOCR model initialization)
• OCR Accuracy: 97.39% confidence
• Text Regions: 20 regions detected
• Language: Chinese (mixed with English)

Verification

• ✅ DOCX upload and validation
• ✅ DOCX → PDF conversion (LibreOffice headless mode)
• ✅ PDF → Images conversion
• ✅ OCR processing (PaddleOCR with PP-LCNet_x1_0_doc_ori structure analysis)
• ✅ Markdown output generation with preserved structure

Output Sample

Office Document OCR Test

測試文件說明

這是一個用於測試 Tool_OCR 系統 Office 文件支援功能的測試文件。

本系統現已支援以下 Office格式：

• Microsoft Word: DOC, DOCX
• Microsoft PowerPoint: PPT, PPTX

處理流程

Office 文件的處理流程如下：

1. 使用 LibreOffice 將 Office 文件轉換為 PDF

Bugs Fixed During Integration

1. Database Column Error: Fixed return value unpacking order in file_manager.py
2. Missing Office MIME Types: Added Office MIME type mappings to preprocessor.py
3. Missing Integrity Validation: Added Office format integrity validation
4. Configuration Loading Issue: Updated .env file with Office formats
5. API Endpoint Mismatch: Fixed test script to use correct API paths

Dependencies Added

System Dependencies (Homebrew)

brew install libreoffice

Configuration

• LibreOffice path: /Applications/LibreOffice.app/Contents/MacOS/soffice
• Conversion mode: Headless (--headless --convert-to pdf)

API Changes

No breaking changes. Existing API endpoints remain unchanged:

• POST /api/v1/upload - Now accepts Office formats
• POST /api/v1/ocr/process - Automatically handles Office formats
• GET /api/v1/batch/{batch_id}/status - Unchanged
• GET /api/v1/ocr/result/{file_id} - Unchanged

Task Updates

Main Proposal: add-ocr-batch-processing

Updated Tasks:

• Task 3: Document Preprocessing - 100% complete (was 83%)
• Task 3.4: Implement Office document to PDF conversion - ✅ COMPLETED

Updated Services:

• Document Preprocessor: Now includes Office format support
• OCR Service: Now includes Office document conversion pipeline
• Added: Office Converter service

Updated Dependencies:

• Added LibreOffice to system dependencies

Updated Phase 1 Progress: ~87% complete (was ~85%)

Documentation

Sub-Proposal Documentation

• PROPOSAL.md - Feature proposal
• tasks.md - Implementation tasks
• IMPLEMENTATION.md - Implementation summary

Test Resources

• Test script: demo_docs/office_tests/test_office_upload.py
• Test document: demo_docs/office_tests/test_document.docx
• Document creation: demo_docs/office_tests/create_docx.py

Performance Impact

• First-time processing: ~375 seconds (includes PaddleOCR model download/initialization)
• Subsequent processing: Expected to be faster (~10-30 seconds per document)
• Memory usage: No significant increase observed
• Storage: LibreOffice adds ~600MB to system requirements

Migration Notes

Backward Compatibility: ✅ Fully backward compatible

• Existing image and PDF processing unchanged
• No database schema changes required
• No API contract changes

Upgrade Path:

1. Install LibreOffice via Homebrew: brew install libreoffice
2. Update .env file with Office formats in ALLOWED_EXTENSIONS
3. Restart backend service
4. Verify with test script: python demo_docs/office_tests/test_office_upload.py

Next Steps

Integration complete. The Office document support feature is now part of the main OCR batch processing system and ready for production use.

Future Enhancements (Optional)

• Add unit tests for office_converter.py
• Add support for Excel files (XLS, XLSX)
• Optimize LibreOffice conversion performance
• Add preview generation for Office documents

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Integration Status: ✅ COMPLETE Test Status: ✅ PASSED Documentation Status: ✅ COMPLETE