DocMiner
From document overload to intelligent data capture
Transform Workflows with AI-Powered Document Processing
Seamlessly integrated into existing business systems
Organizations today handle a growing flow of invoices, purchase orders, contracts, forms, and customer correspondence. When information stays trapped in unstructured documents or must be handled manually, processes slow down and data reliability suffers.
AI-powered document processing changes that: DocMiner recognises document types, extracts relevant information, and creates structured metadata for connected document management, ECM, ERP, workflow, and other business systems. The result is faster processing, better data quality, and less manual effort.
Document-driven processes often lead to the same customer challenges
- Manual capture, classification, and transfer of document information
- Incomplete, inconsistent, or inaccurate metadata
- Slow processing, approvals, and decision-making
- Documents that are misclassified, hard to find, or difficult to reuse
The result: is not simply storing documents digitally. It is turning them into structured information that connected systems can use.
How it works - 6 simple steps
AI-powered document processing uses artificial intelligence to process business documents automatically. It identifies document types, extracts the right data, and delivers structured information to downstream workflows with minimal manual input.
Step 1: Capture
A document enters the process through a document management system, ECM platform, ERP application, workflow solution, or another business system.
Step 2: Seamless Connection
The source system calls the AI service via API, sending the document for processing without replacing existing core applications.
Step 3: Deep AI Analysis and Classification
The AI service analyses the content and identifies the document type by looking at text, layout, structure, and metadata.
Step 4: Intelligent Extraction
Relevant information, data, and metadata are extracted based on the document type.
Step 5: Returning Structured Data
The structured results are returned to the selected target system for further processing, reporting, routing, or approval.
Step 6: Validation and Review
Users review results where needed and continue the business process. They stay in control, but review pre-filled information instead of capturing everything manually.
Your benefits at a glance
Save time through automation
Automate document classification, data extraction, and summarization.
Accelerate workflows
Speed up document-driven processes and decision-making.
Improve data quality
Ensure consistent, accurate, and reliable information.
Connect information to action
Deliver structured data directly to business systems.
Find information faster
Enhance searchability with intelligent metadata.
Integrate with ease
Connect seamlessly to ECM, ERP, workflow, and business applications.
One trusted partner
Benefit from Konica Minolta's end-to-end expertise.
Frequently asked questions
Unlock the value of your business documents!
Discover how DocMiner can help you turn unstructured document content into reliable, business-ready data for smarter information management and more efficient processes.
Talk to our experts today!