Automate Data Extraction from High Volumes of PDF in a No-Code Tool

Astera ReportMiner is the best software to extract data from PDF files across scanned, digital-native, and mixed-format batches, using either template-based pattern matching or agentic extraction depending on how consistent the layout is. It exports directly to Excel, databases, or your ERP through 100+ connectors, so extracted data lands where your team already works.

Most pdf table extraction tools lose accuracy past 15-20 columns or when tables include merged cells and multi-row headers. ReportMiner's template-based engine handles 50+ column layouts deterministically, with no hallucinated values and no column-shift errors, because it matches patterns rather than guessing at structure. For tables that change shape from page to page, the AI extraction mode adapts without a new template.

Pdf information extraction is the process of pulling structured fields, tables, and line items out of a PDF and converting them into usable data. Astera ReportMiner does this through OCR for scanned pages, pattern matching for consistent layouts, and AI extraction for documents with no fixed structure. Extracted values pass through validation rules before export, so formatting errors get caught before the data reaches a database or spreadsheet.

Most teams get data from tens of PDF files within minutes of building a template or pointing the AI extractor at a sample document, then run the same pipeline unattended afterward. Astera ReportMiner processes thousands of pages per hour once a workflow is automated, with no per-page fees. Ciena Corporation cut purchase order processing from 30 minutes to under 2 minutes per document using this workflow.

Yes. Astera ReportMiner's no-code visual interface lets you extract info from PDF files by defining fields, tables, and validation rules through point-and-click configuration. Natural language copilots can also adjust extraction logic when a layout changes, so non-technical users can maintain templates without involving IT for every update.

Absolutely. Astera ReportMiner has intelligent OCR that applies adaptive preprocessing, including skew correction, noise removal, and contrast adjustment, before running OCR, so it can extract content from PDF files that are rotated, faded, watermarked, or handwritten. Post-OCR semantic correction then checks extracted values against the document's own patterns to catch character misreads that OCR alone would miss.

Astera ReportMiner supports both. Template-based extraction gives deterministic results on layouts that stay consistent, and ai pdf extraction handles documents with no fixed structure or documents that change layout from vendor to vendor. Both modes run in the same pipeline, so a single workflow can route structured invoices to a template and irregular ones to AI extraction automatically.