Technologies Implemented in Document AI

If you are wondering how exactly Document AI works, let us explore what this does and what is Document AI? Document AI extracts vital details & information from documents using a variety of technologies to deliver useful insights. These methods include OCR (Optical Character Recognition), NLP (Natural Language Processing) & Computer Vision. It also entails automation & ML (Machine Learning) for added continuity in algorithmic pathways.

Document AI, through ai document software, promotes adaptability & scalability in various document scanning applications. Whether it is Intelligent Document Processing to AI document analysis, every facet of data capture can be covered.

Technology driving Document AI

Consider this – you are trying to search for a specific item in a bunch of documents, yet are unaware of where to find it? How will you embark upon finding it? Will you use a search function if it is in an electronic document format? Perhaps – however what if it is in a hard tangible copy-based format: then what will you do?

This is where Document AI such as XtractEdge comes in handy. Ai document processing software empowers you to source the required item, merely by extracting all the relevant information contained within the document itself. This is achieved by technologies, specifically OCR & NLP.

Still, it does not stop there – oh no! As if this was not enough, we can add another layer of intelligence. This is known as Artificial Intelligence (AI). Given the name, it may already seem obvious but not so.

You see, with AI, methodologies ranging from tracking information to deciphering it can be humanized and replicated too. Specific criteria can be fed into a programmable pathway for systems to operate on.

So now, if you need to find that specific item that we were looking for earlier, the software can automatically refer to a sequential discovery path mode. Hence, automation software like XtractEdge will not only discover the pertinent item but also collate all other related data for intelligible analysis.

Why should we implement XtractEdge?

XtractEdge presents a distinctive set of characteristics, unmatched in the industry of AI & automation. These include: 

• Enterprise ready integration connectors

• Automated document categorization for essential classification of data sources

• Comprehensive & multipurpose data extraction, aided by ML

• Computer vision applying intense learning & Natural Language Processing (NLP) to find out relevant objects or intent 

• Cognitive search operating keyword criteria 

• Ergonomic Graphical User Interface (GUI) for supported manual review & feedback loop

• Performance analytics dashboard gauges & guarantees excellence

• Tailored & adaptable processing using intuitive User Interface (UI)  

These are supported by managed & secure protocol to maximize performance in various settings, throughout the industry. Additionally, with faster time to value, a cohesive solution and compliant business process improvement, there is another reason to choose XtractEdge.

Why it works

These methods are effective for four simple reasons:  

• they are efficient & resource friendly
• Produce accurate replicable results
• Are universally compatible with almost any document format you can think of
• They all work systematically & synergistically with one another

How does Document AI help businesses & consumers?

Not only does document AI simplify & unify all document related tasks, be it from searchability to implementation of information, but also provides valuable insights.

It enables users to be in full control of their data, whether it is explicitly obvious or implicitly embedded within a document file. Furthermore, this can drive efficiency savings by allowing workforces to focus more on development, training & commercial growth strategies for the betterment of their brand.

What is the purpose of Document AI?

This question may sound repetitive, however think about it: why deploy a process when a conventional method does exist? Is it to save time & money? Yes. Does it prepare brands for future digitization? Yes – that too. Moreover though, it revolutionizes the way we search for data in what is otherwise a vast and often convoluted process tree.

When do brands use Document AI?

• Contract based analysis
• Predictive analytics
• Data form collation
• Specific use cases, including project-based frameworks – such as employee surveys

Where does Document AI fit into today’s world?

We are continually flooded with expanding prolific data. This creates a volume burden on stakeholders who rely on convention to find the required information. It is then collected, analyzed & reproduced for a variety of purposes. These include performance reviews for operational business excellence, smart contracts, financial & health reports and even the dreaded tax return! Oh, what a relief to hear.

Conclusion

Whether it is analysis, data driven insights or even statistical extrapolative forecasting, Document AI plays an imperative role in all these processes. Additionally, its reliance on NLP, ML & automation equip it to drive brand success via a simple strategy: efficient data management. This will automatically drive a better future for all brands, eventually cementing this as a new concept for time to come.