Introduction
Does your company have a plan to being a paperless workplace? Are you scanning all of your old paper documents to the new system? If you're a digital user, you've probably encountered the same problem many organizations face when they begin digitalizing paper records...
Once you've loaded your documents using paper, and then uploaded them to the new system for document management (DMS) or your enterprise Content Management (ECM) system, you'll end up with thousands image files that appear like this:
Optical Character Recognition (OCR) Makes Your Scanned Documents Searchable & Editable
The solution to this issue solution is to use optical character recognition also known as OCR. The addition of OCR functions to your document management software makes your documents that you have scanned searchable. Based on the OCR option you select to use, you can convert images you have scanned into text files, searchable PDF documents as well as Microsoft Word files. This allows you to browse through documents to locate the ones you want, and then to search within the document.
After you've used OCR Datasets to convert your scanned documents into text You'll also discover it much simpler for you to modify or paste text within the documents.
Example: Updating Old Contracts
Your company has a contract that was signed in 2005, but it was not scanned to your DMS and is now required being updated as well as signed. Without OCR the user would have to write the entire contract over again before you could modify it. With OCR the ability to copy/paste the text, or modify the file to create an updated draft of the agreement, without needing to type all the text.
Quickly Add OCR Functionality To Your Document System With An OCR API
If your ECM/DMS software doesn’t come with OCR features built-in, there are tools your software development or IT team can use to quickly add scalable OCR features to your existing system. Implementing OCR via a web API allows your software systems to send files to another server for OCR processing and receive back a searchable text PDF or text file. This often makes integration faster and easier, and is compatible with nearly any programming language.
3 Factors To Look For In An OCR Solution
Accuracy
The most critical factor for an OCR engine is accuracy. Document scans are rarely perfectly clear in the real world, which makes it harder for the OCR engine to accurately identify each character. A small difference in accuracy rate can mean a big difference in the usability of the final documents. Look for these accuracy features in your OCR API:
- Numerous algorithms to improve accuracy
- The confidence ratings of recognition results
- The engine is continuously optimized to ensure accuracy
- Assistance in improving the OCR engine to meet your particular application
Speed
If you're dealing with a huge number of documents and Dataset For Machine Learning that you need to convert, you should choose the OCR engine that supports high-speed processing. Since it is a web API PrizmDoc OCR can be easily increased or decreased to accommodate your requirements.
Output Format
Choose the format of your file that you'd prefer to allow the OCR engine to send back in your document-management system. Most of the time the searchable PDF format is ideal however in certain situations you might need the format of a text file Microsoft Word file, or any other formats.
There are two possible OCR alternatives for PDF output:
Text-based PDF: The output recreates the document to the best extent it can using text objects. There may be issues with fidelity however, the document will be altered.
The Image Over Text PDF: is the image scanned of the document is on the front, while the text generated using OCR Training Dataset can be found behind. This is used in situations when preserving the original document may be crucial (legal reasons or signatures, for instance). The document can be searched but cannot be edited.
Managing Your Document With GTS OCR Dataset
Global Technology Solutions (GTS) OCR has got your business covered. With its remarkable accuracy of more than 90% and fast real-time results, GTS helps businesses automate their data extraction processes. In mere seconds, the banking industry, e-commerce, digital payment services, document verification, barcode scanning, Image Data Collection, AI Training Dataset, Video Dataset along with Data Annotation Services and many more can pull out the user information from any type of document by taking advantage of OCR technology. This reduces the overhead of manual data entry and time taking tasks of data collection.
