Automate OCR Data Extraction from PDFs and Images
Astera ReportMiner delivers clean, validated, and structured data with 99.5% accuracy.
- Process skewed, rotated, and poor-quality PDF scans in a code-free tool
- Ensure clean output with data validation and automatic error correction
- Write extracted data to Excel, ERP, CRM, databases, and 300+ destinations
* Best suited for teams processing high volumes of scanned and varied documents.
See ReportMiner work on your documents
A live demo on real documents you bring. No slides, no scripts.
Trusted by 500+ Enterprises That Can't Afford Data Extraction Errors
“ReportMiner can do an amazing variety of things with a scanned pdf. It does what I need and their support is excellent.”
Allen Ghadiri, Software Development Manager
at Parallon
Built for Real-World Scan Quality at Enterprise Scale
Adapt to Every Scan Quality Automatically
Process skewed, rotated, faded, noisy, and low-contrast scans without manual cleanup. ReportMiner applies preprocessing only where needed for reliable OCR data extraction.
Accurate Text Recognition Across 40+ Languages
Process documents in 40+ languages, including English, Mandarin, Spanish, French, and Arabic, using high-speed OCR engines in one platform.
Reduce OCR Errors Before Data Reaches Your Systems
Automatically correct OCR output using document context, field patterns, and calculations, while built-in quality rules reduce manual review and rework.
Enterprise Scale Without Complexity
Automate the complete pipeline beyond OCR. Extract, clean, validate, transform, and track thousands of documents in one platform. Process 10,000+ pages in a day without any downtime.
Document OCR for Real-World Enterprise Documents
ReportMiner's intelligent OCR software automatically handles real-world variations without manual preprocessing.
Skewed or Rotated Invoices and Receipts
Automatically corrected and extracted into structured data.
See How ReportMiner Handles Your Most Problematic Documents
Book a DemoMatch Every Document to Its Optimal Recognition Path
| Engine | Best For | Why It Matters |
|---|---|---|
| Native Lightweight | High-volume, clean scans above 300 DPI. On-premises data residency requirements. | Speed and throughput at scale. Processes entirely within your infrastructure with zero cloud dependency. |
| Native Heavy-Duty | Severely degraded scans: heavy skew, watermarks, stains, faded text, dark table backgrounds. | Handles the documents most platforms give up on. Tuned for the hardest cases in your pipeline. |
| Google Cloud OCR | Mobile captures, photographed receipts, documents in mixed languages or non-standard typefaces. | Strong performance on low-resolution, real-world photographic inputs where on-premises engines typically degrade. |
| Amazon Textract | Structured documents with complex table layouts and form fields. High-precision tabular extraction. | Native table and form structure understanding with built-in orientation handling for rotated documents. |
| Custom LLM-Based | Dense tables where traditional OCR collapses columns, handwritten content, low-resource languages. | Interprets the full page as visual context rather than isolated text regions. Robust on layouts that defeat template-based approaches. |
Put OCR Data Directly Where Your Teams Need It
Connect ReportMiner to the systems you already use, so scanned documents can be processed and delivered as clean, structured data without manual handoffs.
File Systems
Web Services
Databases & Apps
Formats
Keep Sensitive OCR Processing Under Your Control
Deploy on-premises, private cloud, or hybrid to meet security and data residency requirements while keeping sensitive documents within your environment.
Common Questions About ReportMiner's OCR Capabilities
How is this different from standard OCR software?
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.
Can I keep all document processing on-premises?
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.
What document formats does the OCR pipeline accept?
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.
Does ReportMiner handle OCR for handwritten content?
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.
What happens when the system is not confident about an extracted value?
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.
Why Lose Data to Bad Scans
See how ReportMiner's intelligent OCR handles different documents without compromising on accuracy.
Book a DemoBring your most challenging scanned documents and see how ReportMiner handles them.