Background

A traditional manufacturing company with over 30 years of operation relied heavily on paper-based document processing throughout its business workflows. From quality inspection reports and shipping documents to meeting minutes and client contracts, thousands of pages of paper records were generated daily. As the company scaled, the efficiency bottleneck of manual paper handling became increasingly apparent. With international clients raising expectations for supply chain digitalization, digital transformation became an urgent priority.

The company had previously attempted basic scan-and-archive solutions, but scanned images remained unsearchable, offering limited practical value. Furthermore, factory floor meetings and production instructions were largely communicated verbally, with no comprehensive written record — resulting in information gaps and difficulty tracking decisions.

Challenges Faced

• Tens of thousands of pages of paper documents per month require digitization, including handwritten forms, printed documents, and stamped records
• Traditional OCR tools have insufficient recognition accuracy for Chinese handwriting and complex tables
• Factory meetings and production instructions are communicated verbally, lacking a complete written record system
• On-site personnel communicate using a mix of Taiwanese and Mandarin, making speech recognition highly challenging
• Digitized data lacks intelligent management tools, preventing it from delivering its full value
• Varying levels of digital literacy among on-site personnel require an extremely simple and intuitive system interface

Industry Solutions

The company adopted LargitData's comprehensive digital transformation solution, integrating OCR (Optical Character Recognition), ASR (Automatic Speech Recognition), and AI-powered analytics to achieve a complete transition from paper-based operations to intelligent, data-driven workflows.

OCR Document Digitization

• High-Precision Chinese OCR: Supports Traditional Chinese printed and handwritten text recognition with accuracy exceeding 98%
• Complex Table Recognition: Automatically recognizes table structures and converts table content into structured data
• Batch Processing Capability: Supports automated batch scanning and recognition processing for large volumes of documents

OCR Optical Character Recognition →

ASR Speech-to-Text

• Multilingual Speech Recognition: Supports real-time recognition and transcription of mixed Mandarin and Taiwanese speech
• Meeting Records: Automatically converts meeting recordings into verbatim transcripts with summarization and key point extraction
• Production Instruction Records: on-site verbal commands are transcribed in real time into written records, ensuring full traceability

ASR Speech-to-Text →

AI-Powered Analysis and Knowledge Management

• Automated Document Review: AI automatically identifies document types and archives them to the appropriate directories
• Full-Text Search System: all digitized documents are searchable by full-text keyword queries
• Intelligent data analysis: structured data extracted from documents is consolidated into visual management dashboards

Implementation Results

• OCR recognition accuracy exceeded 98%, including handwritten Chinese text and complex tables — significantly outperforming conventional OCR tools
• Document processing efficiency improved by 75%, reducing a full week's workload to under two days
• All departmental meetings and factory floor instructions are now fully transcribed via ASR, dramatically improving the completeness and traceability of information flow
• Paper consumption reduced by 60%, resulting in significant annual savings on printing and paper costs
• With digitized data and the full-text search system, document retrieval time was reduced from an average of 20 minutes to just 2 minutes
• Successfully passed supply chain digitization audits by international clients, strengthening enterprise competitiveness