AI OCR Software for Processing Scanned and Handwritten Documents

Standard OCR automation software applies one recognition engine with fixed preprocessing to every document. ReportMiner assesses each document's quality, routes it to the best-fit engine from five options, applies context-driven post-OCR correction using the document's own math and field patterns, and validates the output against configurable business rules before data leaves the platform. The result is consistent accuracy across mixed document quality that a single-engine approach cannot match.

ReportMiner includes two native on-premises OCR engines (lightweight and heavy-duty) that process entirely within your infrastructure with zero cloud dependency. For teams with data residency requirements, you can force on-premises-only routing at the tenant, workflow, or document type level. Cloud engines are available but entirely optional.

ReportMiner processes PDFs (native and image-only), TIFF, PNG, JPEG, and formats from legacy scanning hardware. Multi-page TIFFs are split automatically. Files containing multiple stacked documents are identified and separated before processing.

Yes. ReportMiner's custom LLM-based engine processes handwritten content by interpreting the full page as visual context. Unlike traditional ICR software that isolates individual characters, the LLM-based path reads handwriting alongside surrounding printed text, field labels, and document structure, which produces significantly more accurate results on mixed printed-and-handwritten documents.

Every document extraction carries validation checks and accuracy scores. Documents that pass all checks flow straight through to destination systems. Documents with errors route to a reviewer with the specific uncertain fields and values highlighted, so reviewers address only the problem fields rather than re-reading the entire document.