ReportMiner automates data extraction across structured, semi-structured, and unstructured documents, then delivers clean, validated data straight into your databases, ERPs, and BI tools.
A live demo on real documents you bring. No slides, no scripts.






Native PDFs, scanned images, Word docs, Excel, COBOL reports, fixed-width files, and EDIs all flow through the same extraction engine, with built-in OCR for anything image-based and no separate scripts to maintain per format.
Auto-Generate Layout uses AI to read a sample document and build a reusable extraction template in five seconds. Apply it across thousands of files with the same structure instead of configuring each one by hand.
For documents whose layouts shift every time, LLM Generate takes a plain-English instruction describing what you need and pulls those fields directly. Two extraction methods in one platform, so neither variable layouts nor consistent ones are a problem.
Analysts spend most of their week copying values out of documents instead of analyzing them. Automating that work through ReportMiner frees the team to actually use the data they've been transcribing for years.
Custom validation rules check totals, formats, missing fields, and cross-record consistency as part of the extraction job, with error counts and warnings reported per run so bad data is caught before it lands in the database, not after a finance team finds it three weeks later.
Push outputs directly into SQL Server, Snowflake, Oracle, Salesforce, SAP, Dynamics, or BI tools through 100+ native connectors. No middle layer, no manual export, and no second integration project to make extraction useful.
Set up once, point ReportMiner at your sources, and let it pull clean structured data from every incoming document, validate it, and deliver it to wherever your team works, continuously and at scale.
Pull files from email, file drops, FTP/SFTP, cloud drives, web services, databases, or API calls. ReportMiner accepts native PDFs, scanned images, Word, Excel, COBOL reports, fixed-width files, and EDIs in one workflow. No preprocessing required.








ReportMiner combines 15 years of template-based pattern matching with AI-powered extraction in a single platform. Use templates where precision matters, AI where flexibility matters, or both together. That is what the best intelligent document processing software looks like in practice.
ReportMiner fits into your existing infrastructure, extracting data from any source and delivering clean, structured output to any destination your team uses.
On-premises, private cloud, or hybrid. ReportMiner runs where your data lives. No sensitive documents leave your environment unless you want them to.
“We have been using Astera, Azure Form Recognizer, and PDF Focus. But once we started implementing Astera, we found the product to be most flexible in terms of its capability compared to others, and we are pretty much not using other products at this point.”
Hayder Mir, Sr. Manager, Custom Applications
at Ciena Corporation
Read the full case study hereFrom departmental data extraction to enterprise-wide business document automation. Choose the tier that matches your operational needs.
For teams getting started with document data extraction.
For data teams running recurring automated document processing pipelines.
For enterprises with complex, high-volume document workflow automation needs.
For organizations requiring custom intelligent document automation solutions and dedicated resources.
Each tier includes a dedicated onboarding session and technical setup assistance.
Other parts of the Centerprise platform you may want to explore.
Configure the document processing system once, connect it to your ERP, CRM, or database, and ReportMiner runs in the background from that point forward.