Capturing and Extracting Data from Documents in Different Languages

By 2018-07-15 Blog
Capturing and Extracting Data from Documents

Does your company receive invoices or other documents in several different languages? For companies that operate in multiple nations or continents, this is common and can lead to issues with document categorization and indexing. Not all OCR solutions offer natural language processing or the ability to capture and extract data from documents in different languages. If your company deals with documents in different languages, that is a problem.


Xtracta’s solutions use natural language processing (NLP) to evaluate and categorize documents, no matter what language they use. Over time, repeated exposure to a language helps Xtracta’s systems to better understand the language and improve. To understand how this is possible, we have to explain what natural language processing is, how it works, and why it would be a huge benefit to any organization that operates internationally.


What Is Natural Language Processing?

Natural language processing is a type of artificial intelligence that is used to help computer systems and apps interpret human language. Natural language processing systems are involved in many tools that we use today, including voice commands on your Apple or Android smart devices. If you own an Amazon Echo, every time that you issue a voice command, the device is using natural language processing to interpret what you say and assign intent to your command.


Natural language processing isn’t new, but it is a technology that is advancing quickly as the demand for systems that help companies deal with huge amounts of data grows. International companies need a reliable way to capture and index documents in any language and format type for analysis and reporting.


Natural language processing technology analyzes written word (or spoken in some applications) and analyzes the context and intent of the words using artificial intelligence and deep learning principles. As the system becomes more familiar with a language, it begins to better understand the context and intent of each document. Once the context of the communication is determined, then the system can store and categorize the document in the appropriate place. Xtracta’s system helps companies evaluate and categorize large volumes of textual data, regardless of the language it is in and without the need to upload templates.


How Does Natural Language Processing Help?

Now that we have talked about natural language processing and what it is, let’s dive into how it can help companies. There are a few specific ways in which natural language processing helps us to analyze documents in any language and accurately index them within your databases:


Content Categorization & Structuring

Human language is extremely complex and diverse. Languages have different grammatical rules, and there are hundreds of commonly spoken languages. This makes it difficult for computer systems to evaluate and categorize documents in multiple languages. Xtracta’s system uses artificial intelligence and machine learning to interpret new languages and accurately categorize and structure the content that it analyzes while improving itself over time.


In the past, companies would likely need to hire experts with experience in those languages to help design systems for capturing and storing the content within those documents. That would be a very expensive endeavour. Xtracta’s system is ideal because it can analyze language-based data with consistency and without fatigue, ensuring that all documentation from your international operations enjoys the same reliability.


Extraction with Context

Xtracta’s natural language processing and deep learning allow for documents, in any language, to be extracted with context. Once indexed, your teams can pull structured information from any text-based source, and use that information as you see fit.


Accurate indexing is critical for making use of the data that you collect. Being able to pull data and information from documents in any language allows for accurate reporting and more agile business decisions.


Improvement Over Time

Xtracta’s systems are designed to improve over time. While the system does not come with built-in language templates (or require them), repeated exposure to documents in a new language allows for the system to continually learn and absorb new language-specific information. This repeated exposure leads to a better understanding of the language and improved categorization and indexing of content.


Confidence in Any Language

If your company does business on multiple continents or in multiple languages, it is absolutely critical that you have an OCR system that is able to categorize and index documents in those languages. Your ability to use the data that you collect depends on it. Xtracta’s ability to capture and extract data from documents in any language is one of our defining features, making us an excellent partner for any company that operates internationally.