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Automated Document Processing in 20021

According to the PDF Association more than 85% of the digital paper transmitted in 2018 was in PDF format.

About 2 billion PDFs were sent as email attachments via Outlook and required digital processing.  Acrobat Reader revealed that 19.5 billion PDF files were opened in 2018, up 39% compared to two years before. One may think that data is increasingly produced in native digital format and that PDFs are due to soon disappear. Instead, data transmitted in PDF format are increasing.

Papergin is a digital product for automated document processing. Aside from having OCR, Papergin also has an embedded machine learning program, an AI branch that is based on the system’s learning from processed data, identifying patterns, and the machine’s self-making decisions. Specific Papergins trait is that the classification and categorization of data and information are done according to the semantic and logical criteria and not just by repetition of established forms of documents. By using Papergin you could lower down your operational costs of data entry and data processing to zero. Without changing your business process or existing software/infrastructure.

Over the course of last two years GIN Engine has processed over 3.3 million of A4 pages with confidence level higher than 99.64% which is an outstanding results if benchmarked with other OCR Engines on market. Papergin’s ability to adapt dynamically to any industry or market is one of key values, therefor we have seen different use-cases from: Financial and accounting sector, E-commerce shops, Government institutions, Marketing and HR agencies. A great example would be a Financial Institution where documents, such as mortgage applications, at financial services organizations contain sensitive information that must be analyzed with absolute precision. The smallest of errors could result in the wrongful denial of a loan or a costly overpayment of interest With Papergin, financial organizations can extract text, forms, and tables from documents.

One could easily say that Papergin is just another OCR tool which extracts content from PDF documents, but it is indeed way more than that. GIN Engine unlocks your document data by understanding a meaning of each value on page. Imagine having a financial statement tables which can sometimes be hardly read even by human, all this issues could be overcome by using Papergin.

We’re excited about the modern-day open data ecosystem because it comes with numerous benefits for customers:

Cost-effectiveness: Cloud data lakes offer the least expensive way to store data today. There is no need to spend time or resources transforming data in order to store or analyze it. And the means to populate cloud data lakes with actual data from your PDF’s are available through Papergin features.

Scalability: Companies can easily scale their use of the technology, benefitting from the separation of compute and storage

Choice: Customers aren’t locked in with a single vendor who can set prices and terms. They can take advantage of the best-in-class or highest-value options for specific use cases. Most tools are open-source or SaaS and thus easy to connect and operate.

Democratization: Anyone can access a company’s data through their preferred framework, without having to use a specific tool or format. That means data analysts, data scientists, application developers and others can efficiently make the most of the data.

Flexibility: Customers can store data in any format they want. This is critical for enterprises that have dated, on-premises storage systems that are difficult and costly to move entirely to the cloud.

Going forward, we believe companies will turn to automated processes instead of manual data entry to serve different needs and derive value from their data for a long time to come. This time, the open data ecosystem isn’t going anywhere.

Papergin’s vision is to be a leading automated data processing tool for documents and data for any type of business company and sector.  Papergin is a product made by Serbian Digital Boutique BAD SISTEMS LLC.