Transferring text, tables, and other information from a physical medium (paper, device screen, surface of objects, etc.) to an electronic medium is an increasingly common process that makes it easier for many people to work and speeds up the solution for many tasks in the business sphere. Before you talk about the advantages of automatic document recognition, you should explain what it is.
Document recognition has changed the way that the majority of workplaces procedure scanned documents. Rather of keeping paper archives, going into information by hand, or retyping information into new electronic files, users of document recognition software application can automatically convert a scanned image of a paper document into a searchable, editable file from which details can quickly be extracted.
The ADR recognizes files automatically and changes the processing settings automatically, to conserve it being done by hand.
ADR performs smart document recognition using artificial intelligence on pages by drawing out text or using OCR.
- Automatically recognize a document type and then change the profile to produce document workflows and processing rules for numerous document profiles.
- Easy to train and configure
- Trustworthy recognition based upon statistical analysis.
Usage of Automatic Document Recognition
The Automated Document Recognition (ADR) system dramatically
enhances mailroom performance, by:
- Minimizing the need for manual sorting
- Maximizing the accuracy and consistency of mail sorting
- Identifying, categorizing and sorting mailroom and fax images
automatically, without the need for human intervention
- Greatly streamlining sorting rules, workflow procedures and data
Advanced innovation is utilized to provide superior recognition and sorting
abilities to your mailroom. This special technology considerably
minimizes overhead, number of sorts, error rate for sorts, processing time.
How Does It Work?
The automated document analysis step is a crucial part of the overall automatic document recognition procedure. To conduct this step with a high precision, this technology uses lots of advanced algorithms of expert system based methods.
Throughout the document analysis step, the document is evaluated in regards to its sensible structure — first and last document pages are identified, the format components such as footnotes, headers, footers and table of content are detected.
At the exact same time, the layout of each specific page is detected and each page is divided into individual objects, such as text blocks, images, tables and table cells, barcodes, and separators. Additionally, the document analysis algorithms detect page orientation, identifies double pages, detects vertical text and define page areas that are not appropriate for the OCR process.
As a result, an automatic document recognition app is able to define text areas and fields that ought to be acknowledged and page areas, such as images or diagrams, that must be kept in their initial kind. At the very same time, it receives information about the sensible document structure (including its formatting) which will be utilized at the end of the OCR process, when the document will be precisely rebuilded.
The outcomes of this analysis are utilized for document structure and design retrieval if files are processed for additional reuse — which implies that the documents require be exactly reconstructed. All images and diagrams will be protected in their original form – without acknowledging the text inside images or logo designs.
If you are often faced with the need to save in electronic form any paper or other information on objects and surfaces, then you need to get a program for automatic recognition of documents. The advantages of this technology are undeniable. You will save time and money, while improving the quality of work and facilitating the workflow process.