Easily Process Messy Scans
Read skewed, faded, stamped, and handwritten scans in 40+ languages with built-in OCR. No manual cleanup first.
Trusted by 300+ Customers, Including














Read skewed, faded, stamped, and handwritten scans in 40+ languages with built-in OCR. No manual cleanup first.
Get up to 99.5% OCR accuracy, with misreads corrected using field patterns and each document's own totals.
Process large batches in parallel, around the clock, on a schedule or whenever new files arrive.
Build OCR workflows visually, preview results instantly, and let AI build a reusable template in about 5 seconds.
Validation and cleansing run as data is extracted, so only clean data reaches your database or ERP.
Deploy on-premises or in your private cloud. Native OCR runs inside your infrastructure, and cloud OCR is opt-in.
Book a 30-minute walkthrough on your own scanned documents, and see the extracted data in your output format.
Every step runs automatically, from capture to delivery. Your team only reviews the exceptions.

“ReportMiner can do an amazing variety of things with a scanned pdf. It does what I need and their support is excellent.”
Recognized for Best Support, Customer Success, and Market Leadership, year after year.
ReportMiner's intelligent OCR software automatically handles real-world variations without manual preprocessing.
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Astera ReportMiner fits into your existing infrastructure, capturing scans from any source and delivering clean, structured data to any destination.
Yes, including the messy ones. ReportMiner reads native and scanned PDFs, including image-based, password-protected, and multi-page files, plus TIFF, PNG, and JPEG images and output from legacy scanning hardware. Each page is corrected for skew, rotation, noise, and low contrast before OCR. Bring a sample to the demo and we'll extract it on the call.
Standard OCR turns a scan into text and runs every document through one engine. ReportMiner checks each document's quality and sends it to the best of five OCR engines. It then extracts the fields you need, corrects misreads using field patterns and the document's own totals, and checks the data against your rules before it reaches your systems.
Yes. ReportMiner's LLM-based engine reads handwritten values together with the printed text, field labels, and layout around them, which helps on forms that mix handwritten and printed fields. Handwritten fields are validated and delivered like any other data.
No. For recurring layouts, AI builds a reusable extraction template in about 5 seconds. For new or changing layouts, LLM-based extraction reads the document from a plain-language prompt, with no template needed.
Every document runs through your validation rules as it is extracted, and each job reports its error, null, and warning counts. Documents that pass go straight to your systems. Documents that fail go to a reviewer with the problem fields highlighted, and alert emails go out when a check fails.
Yes. ReportMiner writes to SQL Server, Oracle, Snowflake, PostgreSQL, SAP HANA, Salesforce, Dynamics CRM, Excel, and other systems through 300+ connectors, so there is no manual export or re-keying.
No. Once configured, jobs start on a schedule, when a file lands, when an email arrives, or on an API call, and run without manual intervention. One dashboard shows every run, and alerts flag errors and validation failures.
Yes. ReportMiner deploys on-premises or in your private cloud. Its two native OCR engines run entirely inside your infrastructure. Google Cloud OCR, Amazon Textract, and hosted LLM features are opt-in and run only if your team turns them on.
No. Your team builds workflows in a point-and-click designer, and our solutions team guides onboarding, backed by award-winning support. We'll map out a plan for your documents and volume during the demo.