• Intelligent document processing: get more value from your documents

    AI-driven document classification, evaluation, and interpretation

    Robotic hand handling a stack of documents in an office setting, symbolizing automation and artificial intelligence in paperwork and administrative tasks.
Robotic hand handling a stack of documents in an office setting, symbolizing automation and artificial intelligence in paperwork and administrative tasks
robot, hand, documents, AI, automation, paperwork, office, technology, robot hand, stack, artificial intelligence, efficiency, future, business, innovation, digital, administrative, processing, machine, workplace, data, robotic, smart, modern, document management, sunlight, future technology, computer, assistant, filing, automation process, office work, robotic arm, paperwork automation, corporate, organization, tech, futuristic, smart office, productivity, automation technology, management, artificial

Streamline your document processes

Capturing, classifying, and indexing documents can be time consuming and error prone if you rely on human effort to identify keywords and document types. And when users need to retrieve or share information, they may be faced with multiple versions of a single document, or may be unable to find what they need owing to errors made during document processing.

Intelligent document processing (IDP) solutions that incorporate automation and AI can solve a range of challenges at every step from document capture through to information retrieval. IDP relieves employees of manual tasks, speeds up processing, minimizes errors, and delivers additional capabilities such as content summarization and translation.

Organizations that have implemented IDP solutions are already seeing the benefits and want more: according to Quocirca, 63% of companies are prepared to increase their investments in IDP.

Greater speed, accuracy, and consistency

Konica Minolta offers a range of IDP solutions that automate data extraction, classification, and analysis of a variety of documents, both physical and digital.

AI, machine learning (ML), and natural language processing (NLP) enable accurate interpretation of content, regardless of the original document's format or whether content is structured or unstructured. These and other technologies help increase accuracy and consistency throughout the document processing lifecycle by enabling consistent capture, classification, indexing, and routing; and helping users get more value from company information.

Intelligent character recognition (ICR)

AI uses ICR to automatically extract data and classify documents (such as invoices, contracts, and orders) consistently based on their content, and assigns them a category. It can recognize handwritten notes, such as comments on invoices; and creates keyword lists to improve document management and retrieval.

Personally identifiable information (PII) recognition

AI recognizes PII (such as names, phone numbers, email addresses, and other sensitive data) in documents and renders it unreadable to meet data protection requirements.

Answers to questions

Users can use natural language to ask for specific information or insights to gain a better understanding of a document's content.

Summarization

AI creates summaries of documents, meeting transcripts, presentations, and other materials to provide a quick overview of the core content.

Translation

AI recognizes a document's source language and translates it into the required target language.

Key point generation

AI creates a list of the most relevant topics in a document.

Your benefits at a glance

Optimize document processing
Automation, AI, and other advanced technologies streamline process steps, including capture and routing, and increase the accuracy and consistency of capture, classification, and indexing

Save time and effort
With faster, easier access to content and information and automated integration of electronic documents into approvals and other workflows

Unlock more value from all your content
Enhance document classification and indexing for faster, simpler information sharing and retrieval, and use AI agents to gain rapid insight into document contents

Integrate with other systems and workflows
Automatically process incoming documents and route them to relevant teams, systems and workflows

Your questions answered

Further reading

The Four-Day Week - Can people be more productive while working less?
The Four-Day Week - Can people be more productive while working less?
The Four-Day Week aims to give workers more time in their personal lives, but without reducing their productivity or wages. What role can AI play here when it comes to automating tasks and thereby reducing working hours?

Learn how Konica Minolta solutions for IDP can help your business