What is Optical Character Recognition (OCR) Technology?
The optical person recognition (OCR) era is a commercial enterprise answer for automating information extraction from revealed or written textual content from a scanned file or photograph document after which changing the textual content right into a machine-readable shape for use for information processing like modifying or searching.
Widely used as a format for data entry from printed paper records like passport documents, invoices, bank statements, computerized receipts, business cards, mail, printed static data, or other suitable documents. It has been. They can be processed electronically, searched, stored more compactly, displayed online, and used in machine processes such as cognitive computing, machine conversion, speech from (extracted) text, key data, and text mining. OCR is a research field in the fields of pattern recognition, artificial intelligence, and computer vision.
Technology Lies Behind OCR
Optical Character Recognition (OCR) is a technology that allows you to convert different types of documents, such as scanned paper documents, PDF files, and images captured by digital cameras, into editable and searchable data. Suppose your partner emails you a paper document such as a magazine article, pamphlet, or PDF contract.
Of course, the scanner alone is not enough to allow Microsoft Word to process this information. All you can do with a scanner is to take an image or snapshot of a document that is just a collection of black and white or color dots called a raster image. To extract and reuse data from a scanned document, camera image, or image-only PDF, split the characters on the image into words and convert the words into sentences to access the content of the original document. Requires OCR software.
OCR solutions improve information
A common application of OCR technology is to automatically convert image-based PDF, TIFF, or JPG files to text-based machine-readable files. Digital files processed by OCR, such as receipts, contracts, invoices, and financial statements, look like this:
- Searching large repositories to find suitable
- Documentation View all documents using the search
- Function Edit if correction is needed
- The reused and extracted text will be sent to other systems.
How optical character recognition works
The first step in OCR is to use a scanner to process the physical format of the document. Once all the pages are copied, the OCR software will convert the document to a two-color or black-and-white version. The scanned image or bitmap is analyzed for bright and dark areas. Dark areas are identified as recognized characters and light areas are identified as the background. Next, the dark areas are processed and searched for alphabets or numbers. OCR programs can vary in technology, but typically you should target one block of letters, words, or text at a time.
Once the character is identified, it is converted to ASCII code and can be used by the computer system to handle further tampering. Users should correct basic mistakes, proofread, and ensure that complex layouts are handled correctly before saving the document for future use.
Do Banks use Optical Character Recognition (OCR)?
In this fast-paced world, banks are one of the most used OCR institutions. Digitization of banking documents is a big advantage. Many banks use OCR technology to achieve better transaction security and better risk management. By using OCR software at banks, you can scan important handwritten warranty documents of many customers, such as credit documents. In addition, the integration of facial recognition software and OCR is noteworthy as it provides two layers of security at ATMs.
Looking for OCR Software
Docparser may be a reliable OCR software tool with the power to parse text from PDF, DOC, DOCX, and more. Simply scan the printed document and send it to your Docparser account. With parsing rules, you can extract the text you need directly from the source document and send the parsed data to hundreds of integration partners, including Excel and Google Sheets.
Layout and table recognition
The word “document” should be interpreted within the broadest sense. You can lay out the source document from scratch without having to reformat the text. You can also use OCR if you need to recapture the mapping table. Reading a table is as good an application as capturing text. Moreover, it’s easy to argue that reading a table is even more convenient than OCR ring in text. Re-entering a table is the most tedious input you can do. And when you get bored, the typo is right there
Benefits of optical character recognition
The main benefits ome savings, error reduction, and effort minimization. It also enables actions impossible with physical copying, like comprf OCR technology are tiessing to ZIP files, highlighting keywords, posting on websites, and attaching to emails. Capturing images of documents allows you to digitally archive the documents, but OCR provides additional functionality for editing and retrieving these documents.