Intelligent Document Processing Service

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Through our customized intelligent automation solutions designed exclusively for your business, you can effortlessly optimize document management and gather essential data for well-informed decision-making. Using cutting-edge artificial intelligence technologies, we offer a contemporary approach to addressing business challenges, moving away from traditional rule-based or manual methods.

Let’s collaborate together to achieve Business Intelligence Automation Solutions

Through our customized intelligent automation solutions designed exclusively for your business, you can effortlessly optimize document management and gather essential data for well-informed decision-making. Using cutting-edge artificial intelligence technologies, we offer a contemporary approach to addressing business challenges, moving away from traditional rule-based or manual methods.


Hospital PO Requests

Streamlining Hospital PO requests using IDP

⸻ Case study – Hospital PO Requests 

Companies in IONM, like ZinniaX, deal with complicated billing rules, which lead to tiring manual work and operational hitches. ZinniaX partnered with Sunflower Lab and used Intelligent Document Processing to automate these tasks, making the process of turning purchase order requests into invoices and managing schedules much smoother. This boosted efficiency, helping IONM companies prioritize taking care of their patients.

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What is Intelligent Document Processing (IDP)?

This new cutting-edge technology, called Intelligent Document Processing, is what every business needs today. With IDP, you can extract, validate, and process your business data present in different formats, whether structured or unstructured.

Using advanced technologies like Optical Character Recognition (OCR), machine learning, and Natural Language Processing (NLP), you can now extract data from hard-to-reach areas and documents into structured, machine-readable data, making it easier to search, analyze, and integrate information into business processes and systems.

Intelligent Document Processing v/s Automated Document Processing

Intelligent Document Processing (IDP) and Automated Document Processing are related concepts, but they differ in terms of sophistication, capabilities, and the level of automation they offer.

Intelligent Document Processing

Combines automation with advanced technologies for data extraction.

Automated Document Processing

Automates basic rule-based tasks

Intelligent Document Processing

Accurately extracts and validates data.

Automated Document Processing

It has limited data processing capabilities.

Intelligent Document Processing

Leverages OCR, NLP, machine learning, and AI to show sophisticated data

Automated Document Processing

It relies on predefined rules.

Intelligent Document Processing

Highly adaptable, handling various document formats.

Automated Document Processing

Less flexible

Intelligent Document Processing

Handles simpler, rule-based workflows

Automated Document Processing

Can handle complex tasks requiring deep content understanding

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Basic document scanning and OCR for digitizing paper documents.

A little advanced data extraction to automate structured data retrieval.

Interpreting and contextualizing the content of documents for better data extraction and classification.

Enabled the system to learn from data and improve data extraction capabilities.

Integration with existing business processes and systems, including CRM, ERP and other applications.

Integration with RPA and Process Mining to streamline operations and improve end-to-end efficiency.

Transition to cloud-based solutions for accessibility and scalability.


Gene Boucher

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Zinniax has dramatically improved the efficiency of our operations. Repetitive and time-consuming tasks that used to take up a significant portion of the team's workday are now handled seamlessly by the RPA system. This allows to redirect of resources and manpower toward more strategic and high-value tasks. Your team's support throughout the development and implementation process has been exceptional.

Gene Boucher

Director of Growth & Strategy – ZinniaX

Automating Your Accounts Payable Workflow

⸻ USE CASE - Account Payable

By using intelligent document processing, we streamline your accounts payable workflow, automating invoice handling to liberate your employees from mundane tasks. This not only safeguards your company from costly errors but also provides a swift and efficient solution for your organization.

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Combining the Best Technologies Together

Our team of AI Developers brings the best technologies together to help your business gather insights and information from your different types of documents.

IDP with Process Mining

The integration of these two technologies creates a dynamic duo for enhanced business optimization. IDP efficiently captures and processes data from unstructured documents, while Process Mining provides end-to-end visibility into workflows, revealing process bottlenecks and inefficiencies. This integration empowers data-driven decision-making and process optimization, boosting competitiveness and efficiency.

IDP with RPA

The collaboration between IDP and RPA offers an end-to-end solution for streamlining business operations. IDP specializes in capturing, extracting, and structuring data from documents, while RPA excels at automating rule-based tasks. Where IDP brings advanced technologies and ensures accurate data processing, making it automation-ready, RPA, on the other hand, seamlessly automates tasks that would typically require human intervention, such as data entry, validation, and even complex decision-making based on the processed data.

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Customer Onboarding

Automating Customer Onboarding with IDP

⸻ Use Case – Customer Onboarding 

In financial services and insurance, IDP can be used for faster customer onboarding. It extracts and validates data from identification documents, such as passports and driver’s licenses, to verify customer identities and populate application forms, reducing the time and effort required for account setup.

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Area of Excellence/Features

API Development and Integration

Operational efficiency

Reduce manual data entry and the risk of errors with our Intelligent Automation Solutions. Achieve faster decision making by enhancing the speed and accuracy of document processing.


With our IDP systems, we ensure that your sensitive business data is handled in a secure and compliant manner, reducing the risk of non-compliance and potential penalties.

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Business user friendly

Using IDP you achieve user- friendly interfaces and intuitive functionalities, removing the requirement of extensive technical expertise and making the utilization of the technology easy.

DevOps and Continuous Integration/Deployment


IDP is scalable and it can accommodate your every increasing business needs. With scalability, your business can handle a large volume of documents efficiently, even in a high-demand environment, while being a cost-effective solution.

Cost and Time Saving 

Direct cost savings

Our business intelligence automation solutions reduce manual data entry, minimize errors, and automate document processing, directly contributing to cost savings.

How to choose intelligent document processing software

Choosing the right intelligent document processing software is a significant decision, and taking the time to research and evaluate your options helps to ensure a successful implementation that meets your organization’s needs. Below are a few factors that you might consider before choosing Intelligent Document Processing Software.

Define your document processing needs like document types, volume, and data extraction requirements.

Ensure the software employs advanced technologies like OCR, NLP, and AI.

Consider data extraction speed, especially for handling large volumes of documents and aim for high data extraction accuracy, around 99%.

Ensure that the software can be customized to fit your specific needs, in the future as well.

Ensure seamless integration with your existing systems and software, such as CRM, ERP, or other data management tools.

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Teams & Achievements


Years Of Experience


Projects Completed


Customer Retention


Industries served

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Intelligent Document Processing (IDP) is a comprehensive technology solution that combines Optical Character Recognition (OCR), Natural Language Processing (NLP), and advanced machine learning algorithms to automate the capture, extraction, and interpretation of data from a wide range of documents, both structured and unstructured. IDP transforms unstructured data, such as invoices, contracts, reports, and emails, into structured, machine-readable information, making it readily available for further analysis and integration into various business processes.

The advantages of IDP are manifold. It encompasses operational efficiency through reduced manual data entry and errors, leading to direct cost savings and streamlined workflows. It also ensures data accuracy, mitigates compliance risks through secure data handling, and empowers data-driven decision-making. Scalability is a key feature, enabling IDP to adapt to changing document volumes as a business grows. Ultimately, IDP enhances productivity and streamlines business processes, positioning it as a valuable investment in the digital age.

Intelligent Document Processing streamlines business processes through automation. It automates data extraction, reducing manual work, and triggers automated workflows based on the extracted data, reducing the need for human intervention. The system also integrates data into other business systems, facilitating information flow and decision-making. It automatically classifies documents, easing routing and management, while validating data against predefined rules ensures accuracy and compliance. The system further enables quick document and data retrieval, enhancing accessibility and overall efficiency.

An Intelligent Document Processing system comprises several critical components. It starts with document capture, involving scanning, digitization, or capturing documents in various formats. Data extraction, powered by advanced OCR and NLP, follows to extract structured data, such as names, dates, and amounts. Data validation ensures data accuracy and consistency by checking against predefined rules. Data integration enables connections with other business applications, supporting data transfer for processing or analysis. Workflow automation reduces manual intervention through automated workflows. Document classification categorizes documents for efficient routing, and secure data storage and retrieval make documents and data easily accessible.

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