Production automation tool: 30% shorter timelines

Educational publishers often store structured data in unstructured files such as PDFs and INDDs. Our client needed faster, more accurate metadata tagging across thousands of assets.

• Manual tagging delays: a costly and error-prone extraction process.
• Time-sensitive delivery: real-time file processing was required.
• Lack of standardisation: metadata fields varied across files.

A suite of five automations was built to remove the manual effort.

• AI-powered extractor built in C# with NLP integration.
• Multi-format support: PDF, DOCX and HTML parsed with structured tagging.
• JSON export API for automated integration into client workflows.

• 80% time savings: a significant reduction in extraction duration.
• Accurate categorisation with high precision in auto-tagging.
• Enterprise-ready: deployed across the client’s content pipelines.