PDFix Launches Advanced Template-Driven PDF Auto-Tagging for Bulk PDFs

PDFix offers a powerful PDF SDK with a primary focus on logical content extraction and adding structure to PDF documents. With over 20 years of experience working with PDF, we have introduced a completely new way of looking at PDF. Our recognition algorithm can convert any PDF into a logically … Read more


PDFix has launched a major update to its Desktop and SDK products, making it easier for organizations to automatically create accessible PDF/UA compliant documents in high-volume workflows. The new template-driven auto-tagging feature is designed specifically for templated documents like invoices, bank statements, and reports that are generated in large quantities with consistent layouts.
Key Highlights
- Enhanced Templates: Create custom templates that define document structure, enabling precise layout recognition and automatic tagging
- Efficiency Gains: Automate semantic and logical tagging for thousands of similar documents daily, saving time and reducing human error
- Real-World Application: Financial institutions and banks use these templates to efficiently tag repetitive elements like logos, headers, and complex tables across multi-page documents
- Fine-Tuned Control: Use JSON configuration files to specify detailed recognition rules, handling dynamic layouts and complex components
- High-Speed Processing: Support for batch processing ensures quick, reliable accessibility compliance at enterprise scale
Benefits
This update allows organizations to produce fully accessible documents automatically, integrating smoothly into existing workflows to embed accessibility into the document creation process from the start - without manual intervention, additional staff, or reliance on third-party remediation services.
For more details, visit the blog.
PDFix offers a powerful PDF SDK with a primary focus on logical content extraction and adding structure to PDF documents. With over 20 years of experience working with PDF, we have introduced a completely new way of looking at PDF. Our recognition algorithm can convert any PDF into a logically…
Read more