Scanned PDF Processing in Astera ReportMiner

Watch Astera ReportMiner's Text Converter object automatically pick the right OCR engine for a creased fax, a skewed bill of lading, and a handwritten log, then turn each one into structured, exportable data.
This demo walks through intelligent character recognition (ICR) in practice: a business receiving a mix of degraded scanned documents that would break a single fixed OCR engine. See how the tool assesses each document's quality, routes it to one of five OCR engines, corrects misreads, and extracts the data into fields ready for Excel, a database, or a downstream system, all without building a separate pipeline for each document type.

What this video covers:

  • Automatically routing scanned documents to the OCR engine suited to their quality, instead of one fixed engine for everything
  • Comparing five OCR paths: two on-premises intelligent OCR engines, Google Cloud OCR, Amazon Textract, and a custom LLM-based engine built for handwriting
  • Extracting clean, structured text from a physically creased, degraded scan
  • Mapping raw OCR output through LLM Generate and a JSON parser to structure invoice data into fields
  • Writing extracted data to Excel, database tables, or CSV/JSON/XML files
  • Scheduling the pipeline on a file-drop trigger so it runs unattended
  • Restricting OCR routing to on-premises engines only, for teams with data residency requirements

Astera ReportMiner applies AI at every stage of OCR, not only at character recognition: engine selection, preprocessing, and validation all adapt automatically to the document in front of them.
Book a demo: https://get.astera.com/reportminer/ocr

LEARN MORE
Astera ReportMiner: https://www.astera.com/products/report-miner
OCR Scanned Documents: https://www.astera.com/type/blog/ocr-scanned-documents

Text Converter documentation: https://documentation.astera.com/dataflows/sources/text-converter
LLM Generate documentation: https://documentation.astera.com/astera-intelligence/llm-generate
Template-less data extraction (Text Converter + LLM Generate): https://documentation.astera.com/astera-intelligence/use-cases/template-less-data-extraction

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