PDF Data Extraction in Astera ReportMiner

This video shows how Astera ReportMiner extracts structured data from PDFs in two ways: a reusable template for consistent layouts, and an AI-driven pipeline for documents that vary. Working from a mix of PDFs, digital and scanned, that vary in layout and quality, you can build a custom extraction logic in ReportMiner: - Build a reusable template, accelerated by Auto-Generate Layout (AGL): it locates the data points and produces a Report Model in about five seconds, ready to review - Handle documents with no template using an AI-driven dataflow: Text Converter digitizes the text, LLM Generate extracts the data, and a parser structures it for the destination - Add routing: a lookup checks for a supplier template and picks the template-based or templateless path, both landing in the same destination - Run it unattended: as soon as a supplier's PDF lands as an email attachment, the pipeline picks it up and runs automatically, with no manual start Whether a PDF arrives with a known layout or a new one, it runs through the same pipeline into the same output, with fewer manual exceptions and less setup. LEARN MORE Astera ReportMiner: https://www.astera.com/products/report-miner PDF Data Extraction with ReportMiner: https://www.astera.com/type/blog/extract-valuable-data-from-pdfs-with-reportminer Auto-Generate Layout documentation: https://documentation.astera.com/report-model/auto-generate-layout/ui-walkthrough-auto-generate-layout-auto-create-fields-and-create-table-region Templateless Data Extraction documentation: https://documentation.astera.com/astera-intelligence/use-cases/template-less-data-extraction #PDFDataExtraction #DocumentProcessing #AsteraReportMiner #OCR #IntelligentDocumentProcessing