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Smart Document Processing

Smart Document Processing helps businesses optimize operational workflows, and remove friction from document-intensive processes. See How Digital Processing Systems transform business documents into business value.

Optimize Your Day-To-Day Operations and Workflows with Our Smart Document Processing Solutions

Smart Document Processing, sometimes referred to as IDP (Intelligent Document Processing), is a high-value, AI-powered, accelerated solution for documentation automation that intelligently captures, extracts, and organizes complex multilayered information into the desired document format. It enables end-to-end business process automation by transforming semi-structured, unstructured, highly-cluttered data into usable data through modern data science tools like OCR, DL/ML, NLP, Computer Vision in each stage of document-specific data integration

Streamline Document Processing Activities with
Our Next-Gen Smart Document Processing Solutions

How Fast Are We!

It’s a matter of a few minutes to set up IDP. It’s a turnkey solution to perform process automation and document processing in a limited time. The software is capable of operating on a low-code automation platform. Designing or extending applications is approximately 20x quicker than coding.

How We Deliver Value!

Leading in automation and case management, we are capable of managing the most complicated enterprise requirements. We respond immediately to document format modifications and allow complete customization to support your unique needs.

What Constitutes This Service

Automating business workflows and processes involving an enormous volume of semi-structured, unstructured data and document formats is no joke. Companies that invest in automating their front-office, mid-office, and back-office processes take their business efficiency to the next level and, hence, see a significant increase in their profits. DPS offers advanced AI-driven IPA tools for inclusive process automation and document processing that allows businesses to take a giant leap toward their digital automation transformation.

Our IPA is a powerful, AI-driven automation tool that can take your business process to a whole new level and simplify your day-to-day operations with absolute brilliance and clarity. It’s incredibly dynamic artificial intelligence algorithms makes decision-based business processing easy, flexible, scalable, and seamless across all communication and process channels.

Today, IPA has become a necessary evil for everyday business processes and workflows. We have helped several leading enterprises worldwide with state-of-the-art AI-powered advanced IPA solutions to strengthen their business footprint in operational excellence, compliance, documentation accuracy, employee satisfaction, and beyond. We also provide custom IPAs for businesses looking to enhance their productivity, efficiency, and customer experiences through highly-personalized IPAs.

Service offerings

Growing digitization and ever-intensifying digital disruptive technologies, including a new wave of emerging process-centered automation tools, influence businesses to adopt modern platforms to sustain or risk losing their business. IPA is an AI-driven process automation tool that can change the company’s fate with the high-level process and document accuracy. Our cutting-edge, state-of-the-art IPA tools can automate unstructured content processes with absolute clarity, efficiency, and excellence.

Where RPA bots struggle, IPA brings in innovation, advanced AI and solves process-centered business problems in no time. Where RPA gives an illusion of high-value automation, IPA creates endless opportunities for end-to-end process automation in business using advanced AI tools and technologies. Cutting short, IPA future-proofs your business automation and drive high-value process transformation

Capture

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Digitization, Automation, And Imaging Services

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Intelligent Data Capture

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Scrutiny, And Verification Services

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Data Warehousing

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Data Visualization

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Business Intelligence

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Automated Data Redaction

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SaaS-based Document Management System

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Workflow-based Process Automation

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Scalable Data Insights

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Pattern Recognition and Decision Support

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Real-time dashboards for better visibility and control

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360-degree SQC, and Audit

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Qualified CSQAs (Certified Software Quality Analysts)

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Consistency and Quality Assurance

Audit and Statistical Quality Control (SQC)

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360-degree SQC, and Audit

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Qualified CSQAs (Certified Software Quality Analysts)

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Consistency and Quality Assurance

Inspection, Validation, And Organization

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Scrutiny, And Verification Services

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Data Warehousing

N

Data Visualization

N

Business Intelligence

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Automated Data Redaction

Transmission, Processing, And Presentation

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SaaS-based Document Management System

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Workflow-based Process Automation

Data Analytics

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Scalable Data Insights

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Pattern Recognition and Decision Support

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Real-time dashboards for better visibility and control

Recognize, Classify, Capture, And Extract Distilled Information for Applying Business Rules, And Beyond

Services

OCR (Arabic & English)

Classify The Document, Capture Data, And Apply Business Rules
OCR stands for Optical Character Recognition – a technology capable of recognizing text in a digital image such as scanned documentation and photographs. It can virtually read and converts written text into an editable and searchable document. Other corporate documents applications include bank statements, company cards, emails, invoices, automated license plate recognition, text-to-speech service, passport and IDs, Invoices, scanned books into searchable documents, and much more.
Our OCR facility is available in English and Arabic, which is quite useful for converting specific printed paper documents into machine-readable text documents. The use of OCR is to Classify the document, Capture data, and apply business-specific rules to achieve desired business outcomes. There are different use cases where OCR is being used, such as Passport Data Reading, Letter of Guarantee Document Data Capturing, Letter of Credit Document Processing, and beyond.
At Digital Processing Systems, we boost ultimate productivity and customer satisfaction with Intelligent Document Processing to accomplish your strategic documentation goals. Our OCR technology also helps you digitize printed texts so that the information can be electronically accessed, edited, searched, stored, and organized. We use Open Source Tesseract, have customized it for the Arabic language and specific domains.
Intelligent Automation for Document Processing Platforms Involves Three Key Components:
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Collect data from PDFs, Emails, Word Documents, and Other Unstructured Sources Using OCR or Computer Vision

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Sort Out the File Type with Machine Learning Capability

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Retrieve Relevant Information with Natural Language Processing (NLP)

RPA (Robotic Process Automation)

Accelerate Documentation Process Efficiency and Innovation Through Robotics Process Automation
Bringing automation into mainstream digital processes improves functional efficiency, enhances operational capacity, augments workflow agility, and provides businesses the competitive edge they are looking for. Digital Processing Systems uses RPA to automate and optimize day-to-day operations to help you stay agile and focused on other significant business matters. Robotics Process Automation, when combined with modern-day data science tools and technologies like OCR, DL/ML, NLP, Computer Vision, co-creates Smart Process Automation, taking RPA to a whole new level.
By eliminating operational vulnerabilities, documentation discrepancies, and elevating workforce productivity through business process automation, you can accomplish operational excellence and expect to observe a visible difference in the entire value chain and business ecosystem. RPA gets you one step closer to the point where you want to see your business accelerating and achieving results. Relying on Robotic power can influence positive changes and create a highly-centralized error-free business environment.
When integrated with Artificial Intelligence (AI) and Machine Learning (ML), RPA technology gets you to deal with a broad range of complex business scenarios and business process applications where automation-first judgment-based decision making is involved. Digital Processing Systems capabilities in RPA and cognitive computing include Blueprism, Automation Anywhere, UiPath, Microsoft Cognitive Services that maximize the overall value of automation in today’s age.
Digital Processing System RPA solution includes:
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RPA Consulting

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Cognitive Automation

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RPA Implementation and Development

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RPA Deployment

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Custom RPA Integration

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End-to-end RPA Implementation and Maintenance Support

Delivering State-Of-The-Art Digital Transformation
Success Through Smart Document Processing

(NLP) Natural Language Processing

NLP for Better Human-To-Machine Communication

Natural Language Processing AI-powered, linguistic-centric, a computer-science-focused virtual assistant, acts as a bridge between human language and computer. Making computer machines to read, process, transmit and understand human language mainly requires careful integration of NLP technology into the mainstream intelligent process automation framework. We use NLP to establish seamless human-to-machine communication in the presence of powerful computing, Big Data, and enhanced algorithms.

Digital Processing Systems use NLP technology to interpret language input and use linguistics-centric algorithms to simplify the text and transform language to derive greater value.

NLP Interprets Large Proportions of Textual Data

Natural Language Processing AI-powered, linguistic-centric, a computer-science-focused virtual assistant, acts as a bridge between human language and computer. Making computer machines to read, process, transmit and understand human language mainly requires careful integration of NLP technology into the mainstream intelligent process automation framework. We use NLP to establish seamless human-to-machine communication in the presence of powerful computing, Big Data, and enhanced algorithms.

Digital Processing Systems use NLP technology to interpret language input and use linguistics-centric algorithms to simplify the text and transform language to derive greater value.

NLP Structures a Highly Unstructured Data Source

Natural Language Processing AI-powered, linguistic-centric, a computer-science-focused virtual assistant, acts as a bridge between human language and computer. Making computer machines to read, process, transmit and understand human language mainly requires careful integration of NLP technology into the mainstream intelligent process automation framework. We use NLP to establish seamless human-to-machine communication in the presence of powerful computing, Big Data, and enhanced algorithms.

Digital Processing Systems use NLP technology to interpret language input and use linguistics-centric algorithms to simplify the text and transform language to derive greater value.

NLP Breakdowns Language into Shorter, Elemental Bits and Pieces

Natural Language Processing AI-powered, linguistic-centric, a computer-science-focused virtual assistant, acts as a bridge between human language and computer. Making computer machines to read, process, transmit and understand human language mainly requires careful integration of NLP technology into the mainstream intelligent process automation framework. We use NLP to establish seamless human-to-machine communication in the presence of powerful computing, Big Data, and enhanced algorithms.

Digital Processing Systems use NLP technology to interpret language input and use linguistics-centric algorithms to simplify the text and transform language to derive greater value.

NLP for Better Human-To-Machine Communication

Natural Language Processing AI-powered, linguistic-centric, a computer-science-focused virtual assistant, acts as a bridge between human language and computer. Making computer machines to read, process, transmit and understand human language mainly requires careful integration of NLP technology into the mainstream intelligent process automation framework. We use NLP to establish seamless human-to-machine communication in the presence of powerful computing, Big Data, and enhanced algorithms.

Digital Processing Systems use NLP technology to interpret language input and use linguistics-centric algorithms to simplify the text and transform language to derive greater value.

NLP Interprets Large Proportions of Textual Data

Natural Language Processing AI-powered, linguistic-centric, a computer-science-focused virtual assistant, acts as a bridge between human language and computer. Making computer machines to read, process, transmit and understand human language mainly requires careful integration of NLP technology into the mainstream intelligent process automation framework. We use NLP to establish seamless human-to-machine communication in the presence of powerful computing, Big Data, and enhanced algorithms.

Digital Processing Systems use NLP technology to interpret language input and use linguistics-centric algorithms to simplify the text and transform language to derive greater value.

NLP Structures a Highly Unstructured Data Source

Natural Language Processing AI-powered, linguistic-centric, a computer-science-focused virtual assistant, acts as a bridge between human language and computer. Making computer machines to read, process, transmit and understand human language mainly requires careful integration of NLP technology into the mainstream intelligent process automation framework. We use NLP to establish seamless human-to-machine communication in the presence of powerful computing, Big Data, and enhanced algorithms.

Digital Processing Systems use NLP technology to interpret language input and use linguistics-centric algorithms to simplify the text and transform language to derive greater value.

NLP Breakdowns Language into Shorter, Elemental Bits and Pieces

Natural Language Processing AI-powered, linguistic-centric, a computer-science-focused virtual assistant, acts as a bridge between human language and computer. Making computer machines to read, process, transmit and understand human language mainly requires careful integration of NLP technology into the mainstream intelligent process automation framework. We use NLP to establish seamless human-to-machine communication in the presence of powerful computing, Big Data, and enhanced algorithms.

Digital Processing Systems use NLP technology to interpret language input and use linguistics-centric algorithms to simplify the text and transform language to derive greater value.