IDP SOLUTIONS
The Future of Document Processing Is Here.
With over five years of IDP experience, we are experts at collecting, classifying, and extracting data from semi-structured and unstructured documents. Paired with best-in-class document management solutions, we help companies streamline and automate time-consuming and manual processes to improve customer experiences and deliver operational efficiency.
BENEFITS
We Streamline Data Capture and Automate Document Processing Workflows
Our comprehensive set of IDP services allows clients to reduce their reliance on manual, repetitive, and time-intensive tasks in their business processes.
Unlock Enterprise Efficiency with IDP
Intelligent document processing is the next generation of automation, able to capture, extract, and process structured data and unstructured data from a variety of document formats using a combination of technologies, including natural language processing, optical character recognition, computer vision, and machine learning.Â
Whether it’s mortgage origination or claims, intelligent document processing can easily extract unstructured data from scanned documents or physical documents. Once the data is extracted, you can effortlessly retrieve the data anytime, anywhere, through a dedicated cloud repository.Â
IDP has the dual advantage of improving customer service and boosting employee productivity by saving time and increasing accuracy. That means more applications are processed quicker. Customers can enjoy faster turn-around times, and employees can be freed up to focus on strategic tasks.
Unlock Business Benefits with Advanced IDP Solutions
AI-Enabled Extraction
Traditional OCR alone may fall short in achieving optimal extraction accuracy with unstructured documents. Blanc Labs addresses this challenge by integrating AI technologies into your existing platform or developing an AI-native platform specifically designed for document extraction that suits your enterprise process best.Â
Through seamless integration of natural language processing, deep learning, computer vision, and machine learning, an AI-enabled platform excels in extracting data from unstructured documents.
Document Classification
Categorizing documents prior to data extraction is a crucial step, but manual classification can be time-consuming and resource-intensive. Our IDP solution can effortlessly split a multi-document PDF into separate files or extract specific pages from documents as needed.
With our robust classification capabilities, your operations team can upload a file containing a variety of documents, allowing the system to automatically separate and classify documents with precision and efficiency. By automating classification, you can improve processing speed, reduce cost and minimize errors.
Unstructured Data Processing
Blanc Labs’ IDP solution is designed to cater to all your data processing needs, whether it is structured data, such as Excel sheets and forms, or unstructured data, like images, emails, and open-ended forms.Â
By leveraging automation, our IDP solution ensures the accurate handling of a wide range of business documents, resulting in fewer documents requiring manual correction. This significantly reduces staff workload and brings you closer to achieving straight-through processing, optimizing your operational efficiency.
IDP as a Service
We offer IDP as a Service, allowing clients to leverage our secure cloud-hosted IDP APIs. Our comprehensive solution supports both standard and custom document types. Hosted on Blanc Labs’ SOC2-compliant cloud infrastructure, our IDP platform guarantees exceptional performance, robust security measures, high uptime, and reliable support. Supported services include classification, extraction, and redaction.
Our IDP Engagement Model
and 
How Blanc Labs’ IDP Solution Powered a New Digital Mortgage Business for Questrade
Document Processing Use Cases
Mortgage Underwriting
Whether you offer a digital direct or broker-based mortgage channel, automating your origination and underwriting workflow will allow you to eliminate the need for manual data entry, allowing you to scale through periods of high-deal flow and, most importantly, dramatically improve mortgage underwriting speeds.
KYC Process Automation
Implementing IDP ensures accuracy, safeguarding your reputation, and preventing fines resulting from non-compliance with Know-Your-Customer (KYC) regulations. By embracing end-to-end automation of the KYC process, your organization can benefit from enhanced quality assurance, improved customer experience (by reducing frequent customer outreach), and an increased number of cases processed per month.
Insurance Claims Processing
Managing the claims processing workflow can be intricate, especially considering the diverse formats in which claims data is received—ranging from Word files and PDFs to images. Additionally, data arrives through multiple channels, including email, scanned documents, and physical documents, further adding to the complexity.Â
An IDP solution built with artificial intelligence and machine learning can make claims processing workflow more efficient by routing the necessary information to the appropriate enterprise systems while surfacing the most critical information for human-in-the-loop decisions.
Customer Onboarding
Customer onboarding plays a crucial role in setting the tone for your relationship with clients. During the onboarding process, customers are often required to upload diverse document types, such as credit reports and tax returns.Â
IDP tools are designed to handle a variety of document formats and types seamlessly. By implementing IDP, you can reduce onboarding costs and free up your staff from manual document processing, ultimately streamlining the entire onboarding process and providing a compelling customer experience at a critical phase in the customer journey..
Intelligent Document Processing Insights
Business Process Improvement vs Business Process ReengineeringÂ
Business process improvement vs. reengineering is a tough choice. In this guide, we help you choose between the two based on four factors.
What is the role of a Business Process Improvement Specialist?Â
A business process improvement specialist identifies bottlenecks and inefficiencies in your workflows, allowing you to focus efforts on automating the right processes.
Open Banking Technology Architecture Whitepaper
We’ve developed this resource to help technical teams adopt an Open Banking approach by explaining a high-level solution architecture that is organization agnostic.
Winning the Open Banking Race: A Challenger’s Path to Entering the Ecosystem Economy
Learn about the steps you can take in forming an open banking strategy and executing on it.
Canadian IT services firms offer a strategic opportunity for US Banks and FIs
Discover the strategic advantage for U.S. banks embracing innovation with cost-effective Canadian nearshore IT support.
These are not your grandmother’s models: the impact of LLM’s on Document Processing
Explore the transformative influence of large language models (LLMs) on document processing in this insightful article. Discover how these cutting-edge models are reshaping traditional approaches, unlocking new possibilities in data analysis, and revolutionizing the way we interact with information.
From Chaos to Clarity: Achieving Operational Excellence through Business Process Improvement
Discover transformative insights and strategies to streamline operations, enhance efficiency, and drive success.
10 Tips to Successfully Implement RPA in Finance
Benefits of Intelligent Document Processing
Top Use Cases of Intelligent Document Processing
Extraction: The Next Step in Intelligent Document Processing Â
Classification: The First Step in The Art of Speed Reading
Business Process Improvement vs Business Process ReengineeringÂ
Business process improvement vs. reengineering is a tough choice. In this guide, we help you choose between the two based on four factors.
What is the role of a Business Process Improvement Specialist?Â
A business process improvement specialist identifies bottlenecks and inefficiencies in your workflows, allowing you to focus efforts on automating the right processes.
Open Banking Technology Architecture Whitepaper
We’ve developed this resource to help technical teams adopt an Open Banking approach by explaining a high-level solution architecture that is organization agnostic.
Winning the Open Banking Race: A Challenger’s Path to Entering the Ecosystem Economy
Learn about the steps you can take in forming an open banking strategy and executing on it.
Canadian IT services firms offer a strategic opportunity for US Banks and FIs
Discover the strategic advantage for U.S. banks embracing innovation with cost-effective Canadian nearshore IT support.
These are not your grandmother’s models: the impact of LLM’s on Document Processing
Explore the transformative influence of large language models (LLMs) on document processing in this insightful article. Discover how these cutting-edge models are reshaping traditional approaches, unlocking new possibilities in data analysis, and revolutionizing the way we interact with information.
From Chaos to Clarity: Achieving Operational Excellence through Business Process Improvement
Discover transformative insights and strategies to streamline operations, enhance efficiency, and drive success.
10 Tips to Successfully Implement RPA in Finance
Benefits of Intelligent Document Processing
Top Use Cases of Intelligent Document Processing
Extraction: The Next Step in Intelligent Document Processing Â
Classification: The First Step in The Art of Speed Reading
Business Process Improvement vs Business Process ReengineeringÂ
Business process improvement vs. reengineering is a tough choice. In this guide, we help you choose between the two based on four factors.
What is the role of a Business Process Improvement Specialist?Â
A business process improvement specialist identifies bottlenecks and inefficiencies in your workflows, allowing you to focus efforts on automating the right processes.
Open Banking Technology Architecture Whitepaper
We’ve developed this resource to help technical teams adopt an Open Banking approach by explaining a high-level solution architecture that is organization agnostic.
Winning the Open Banking Race: A Challenger’s Path to Entering the Ecosystem Economy
Learn about the steps you can take in forming an open banking strategy and executing on it.
Canadian IT services firms offer a strategic opportunity for US Banks and FIs
Discover the strategic advantage for U.S. banks embracing innovation with cost-effective Canadian nearshore IT support.
These are not your grandmother’s models: the impact of LLM’s on Document Processing
Explore the transformative influence of large language models (LLMs) on document processing in this insightful article. Discover how these cutting-edge models are reshaping traditional approaches, unlocking new possibilities in data analysis, and revolutionizing the way we interact with information.
From Chaos to Clarity: Achieving Operational Excellence through Business Process Improvement
Discover transformative insights and strategies to streamline operations, enhance efficiency, and drive success.
10 Tips to Successfully Implement RPA in Finance
Benefits of Intelligent Document Processing
Top Use Cases of Intelligent Document Processing
Extraction: The Next Step in Intelligent Document Processing Â
Classification: The First Step in The Art of Speed Reading
What is an intelligent document processing solution?
An intelligent document processing solution automatically extracts data and processes it from various documents/sources using AI techniques, OCR, machine learning, and computer vision, eliminating manual data entry, reducing errors, and enhancing operational efficiency.
How does intelligent document processing work?
Using advanced technologies such as AI, natural language processing, OCR, machine learning, and computer vision, IDP automates the extraction and processing of data from documents, capturing, classifying, extracting, validating, integrating, and learning from them.
What is the difference between OCR and intelligent document processing?
OCR converts scanned or printed text into a machine-readable format, while IDP combines OCR with other AI technologies to extract meaningful information from documents and offers a more comprehensive solution with advanced capabilities for data interpretation and analysis.