Handle your data better with intelligent document processing

What is intelligent document processing?

Intelligent document processing is an automated way to turn unstructured documents into clean, usable data, using AI to capture, sort, and validate information with little human help.

• It pulls data from many sources, then organizes it for further use.
• It cuts manual work, so teams handle far more documents in less time.
• Modern tools now add generative AI and large language models for higher accuracy.

The digitization of business keeps growing as data use climbs. Today, automation and AI are reshaping how companies handle paperwork. In fact, HighRadius reports that 68% of companies still enter invoice data by hand. So there is huge room to improve. As global firms move online to reach more customers, they must strengthen how they handle data.

Document processing is a good place to start going digital. But if you want more efficiency, intelligent document processing can help. It works well alongside wider data processing services.

Intelligent document processing defined

Intelligent document processing is an automated way to convert unstructured information into usable data. It gathers data from many sources, then organizes it for the next step. So extracting information from large volumes of data becomes faster than human extraction.

How intelligent document processing works

Intelligent document processing relies on these technologies to work well:

• Computer vision. It pulls useful information from images and videos. Then it acts on what it finds.
• Machine learning. Through machine learning, systems extract data, spot patterns, and make decisions with little human input.
• Deep learning. This machine learning method learns from large sets of examples. So it reaches high accuracy in automation.

Today, many tools go further. They add large language models and generative AI to read messy, varied documents. As a result, modern systems handle emails, contracts, and forms with less setup. Some even use OCR technology to read scanned text with strong precision.

The process has five steps: pre-processing, classification, extraction, validation, and integration.

• Pre-processing. Data is captured from several sources. For example, it comes from scanning, filling out forms, and typing.
• Classification. Next, the gathered data is sorted into categories set by the processor.
• Extraction. Then data is pulled from several sources, across many formats.
• Validation. After that, the extracted data is checked against existing data using machine learning.
• Integration. Finally, the validated data moves into other systems for further use.

Manual vs. intelligent document processing

Manual document processing needs a specialist to encode information from physical and digital sources. So it involves copying, typing, and moving data into a single database. With intelligent document processing, meanwhile, a single system can convert and process data on its own.

Both methods help businesses go digital. Still, many companies prefer automated processing for more efficiency. It also pairs well with robotic process automation for end-to-end workflows.

Why businesses use intelligent document processing

Studies from Seagate and IDC have tracked global data climbing into the hundreds of zettabytes. So manual processing cannot keep up with this surge. Because of this, intelligent document processing is now widely used across industries. Here are the main reasons.

Reduced errors

Intelligent document processing lowers the chance of human error. So it cuts misspells, mistakes, and missing information. As a result, processed data becomes more valuable and reliable.

Increased efficiency

You need fewer staff just for manual entry. At the same time, your current team can process more documents in less time. So they free up hours for more complex work. Many firms route this work through back office outsourcing to scale even further.

Electronic storage

Processed data moves straight to the cloud. It can go to a client’s preferred storage or a set location. So digitization gets much easier for organizations.

Cost efficiency

According to studies, manual processing for one invoice costs at least US$10.89 per document. Intelligent document processing can cut these costs by at least 60%. So businesses save money for growth and other needs. For finance teams, that often starts with automated invoice processing services.

Security and compliance

Finally, intelligent document processing supports security and compliance. It guarantees high accuracy when converting data. So it helps firms meet GDPR, HIPAA, and other operating standards.

The best way to handle intelligent document processing

Despite its advantages, intelligent document processing still needs a human in the loop for some steps. So the best approach is to pair it with manual review. Even the smartest AI systems need people to check tricky cases and edge data.

Service providers like SixEleven offer skilled document processing specialists from offshoring destinations like the Philippines. Besides document processing, companies can hire other roles for data work. For example, they can add data entry specialists, encoders, and researchers. Many teams also use data entry outsourcing to support the process.

Frequently asked questions

How is intelligent document processing different from OCR?

OCR simply reads text from scans and images. Intelligent document processing goes much further. It also classifies, extracts, validates, and integrates the data. So it understands context, not just characters.

Does intelligent document processing replace human workers?

No, it supports them. The system handles high-volume, repeat tasks. Meanwhile, people review exceptions and complex documents. So staff can focus on higher-value work instead of manual entry.

What documents can it handle?

It works with many document types. For example, it processes invoices, contracts, forms, and emails. Modern tools even read messy, unstructured files. So most paper-heavy workflows can benefit.

Is intelligent document processing secure?

Yes, when set up well. Good systems follow standards like GDPR and HIPAA. They also encrypt data and limit access. Still, you should check each provider’s compliance record.

How does AI improve intelligent document processing?

AI boosts accuracy and flexibility. Large language models read varied, messy documents with less setup. So the system adapts to new formats fast. As a result, teams spend less time fixing errors.