What all can our platform do

Explore the capabilities that level up your automation game

Only what your business needs

Industry-agnostic design allows enterprises to configure the platform to suit their highly specific extraction and accuracy needs

True automation all the way

Experience the power of true automation which eliminates all manual reviews, saving time and processing costs

Unparalleled accuracy for any document

Built on patented algorithms, Infrrd platform delivers astonishing levels of accuracy from day one, no matter what the document complexity

Customer Quote
We’ve spent a lot of money to develop automated data-extraction solutions in the past, but none of them moved the needle enough to justify the investment. We didn’t think the available solutions were robust enough. We wanted a cutting-edge AI solution that could transform the way we process our clients’ data enough to noticeably improve their daily ease of use and ultimate results.
-David Crawford
Vice President of Strategy and Innovation, State National
Product Insights
Impact of AI & IDP on Early Adopters in the Mortgage Industry

A platform so accurate that we’ll bet on it’s performance

Having delivered 100% document accuracy to major players in the fintech industry, we’re so confident about our platform’s extraction capabilities that we offer performance-based pricing. If the desired accuracy is not delivered, you don’t pay us. How’s that for assurance.

FAQs About Intelligent Document Processing:

1. Where is Intelligent Document Processing IDP used?

IDP is used in many different types of businesses & industries where it is necessary to automate the extraction of data & information from complicated and varied documents. Sectors like finance, insurance, healthcare, law, logistics, and many more may fall under this category. IDP is used to automate document-based processes, enhance data quality, and minimize manual processing requirements.

2. What is the difference between IDP and OCR?

The main distinction between Intelligent Document Processing (IDP) and Optical Character Recognition (OCR) is that OCR's primary goal is to turn text that has been scanned or taken from the image into text that can be read by machines. IDP goes beyond the scope of OCR. IDP’s smart machine learning algorithms extract text while also comprehending the context, organization, and meaning of the content. It categorizes documents, extracts particular data fields, validates data, and even learns from errors to get better over time.

3. What is the intelligent data processing? 

A processing in which Artificial intelligence (AI) and machine learning techniques are combined to understand data in an automated manner. Now, in the context of AI document intelligence processing — it is the ability of the system to comprehend the information contained in documents, form conclusions based on that information, and carry out operations like extraction, validation, and categorization with AI without the need for humans.

4. How does intelligent document processing work?

Intelligent Document Processing platform works by following a series of steps:

Document Preprocessing
Document Classification
Data Extraction
Data Correction
Feedback Loop
Data Validation
SLA Management
Reporting & Analytics
Review & Audit

5. What are the most common examples of documents that can be analyzed by an intelligent document processing software?

Invoices, purchase orders, contracts, insurance claims, financial statements, medical data, shipping documents, and other documents can all be analyzed by solutions for AI document processing. These solutions are designed to handle the intricacies of many document formats & structures, resulting in useful tools for companies looking to optimize the processes that rely on documents.

6. What is the role of unstructured data and data extraction in intelligent document processing (IDP)?

In intelligent document processing solutions, unstructured data and data extraction are fundamental. IDP systems use advanced algorithms and machine learning to extract crucial information from unstructured data sources that include contracts, invoices, and audits. Natural language processing allows the system to process unstructured text and structure it such that it is usable. This ensures that organizations may process, analyze, and make educated decisions based on formerly unexplored data sources with more efficiency and accuracy.

7. How to digitize paper documents?

Digitizing paper documents entails using an automated document processing platform to speed up the conversion of paper documents to digital format. Automated systems extract data from paper documents, removing the need for manual data entry. The extracted data can then be effortlessly incorporated into numerous business processes, improving access, searchability, and overall efficiency in managing and utilizing the digitized data. This method not only saves time but also lowers the possibility of errors connected with data that humans enter.

8.Does your solution work with handwriting?

Our solution excels at data extraction from handwriting.  We've got proprietary methods and techniques that do the trick.  It's pretty cool.  See for yourself.

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See our platform in action to experience the transformative efficiencies it can bring to your processes