Background of the Study

Automating Metadata Extraction for Educational Content Educational publishers often store structured data in unstructured files like PDFs and INDDs. Our client needed faster, more accurate metadata tagging across thousands of assets. Our tech team has completed a suite of 5 useful automations which reduces their manual efforts.

Challenges

• Manual Tagging Delays – Costly and error-prone extraction process.
• Time-Sensitive Delivery – Required real-time file processing.
• Lack of Standardization – Metadata fields varied across files.

Nexority’s Solution

• AI-Powered Extractor – Built in C# with NLP integration.
• Multi-Format Support – Parsed PDFs, DOCX, and HTML with structured tagging.
• JSON Export API – Enabled automated integration into client workflows.

Results & Impact

• 80% Time Savings – Significant reduction in extraction duration.
• Accurate Categorization – High precision in auto-tagging.
• Enterprise-Ready –Deployed across content pipelines.