If you’re struggling to stay on top of data entry tasks, don’t worry; intelligent data capture solves the problem. It is a technique that people often apply to business forms and receipts. Still, it can be in other applications where the information from paper documents needs to be transferred into computer databases.
OCR is a more traditional system for making copies of text from scanned or photographed images. The OCR base is on recognizing patterns in letters, words, and lines that occur in a text. OCR converts scanned or photographed text into electronic text. Then it searches the database for the correct pattern to match your stored text.
Here is a complete list of the key differences between intelligent data capture and OCR.
Storage Capacity
The difference between intelligent data capture and OCR extends to storage capacity because intelligent data capture saves essential documents in one location instead of storing them in many locations around the office or home. OCR typically stores only a few scanned documents at a time. This number can expand by replacing the single-purpose inkjet printer with a multi-function printer attached to the OCR station or using a network scanner for multiple copies.
Security
Intelligent data capture saves documents in a central location, such as a computer folder. This process makes it easy to control who has access to the document. The program automatically saves documents and is accessed by any user with permission.
The difference between intelligent data capture and optical character recognition is decided by improving efficiency through network scanners that scan multiple pages for advanced imaging products. OCR does not offer this kind of security because it stores scans of documents in numerous locations without the benefit of a central database.
Time
Intelligent data capture can be slower than OCR, but it adds the benefit of scanning multiple pages at once. It uses data from the network scanner to add text from an entire stack of documents in a single step.
The time needed for automated data capture is approximately 2 minutes per page, and massive savings in time when scanning multiple documents monthly. If a company uses this system, they need to ensure ample storage space on the computer’s hard drive.
Data Storage
Intelligent data capture can save a scanned image in the same application file or a PDF. It can also save paper documents in different formats, such as Word and Excel. It is one of the differences you should consider before deciding which system to scan documents.
Accuracy
Intelligent data capture is perfect for companies that receive clients’ financial statements or other reports. At times, it is not easy to properly read printed texts. OCR is ideal for applications where you need to check the accuracy of the text.
Capabilities
Intelligent data capture comparison to OCR functions because they are similar but different in other ways. Intelligent data capture can recognize characters on digitized paper documents, but it does not recognize handwritten entries or text in tables or charts.
Scalability
Intelligent data capture is not limited to scanning only one document at a time, unlike OCR systems. When it is time to expand the system, there is an increase in data storage units with a network scanner. Eventually, you could decide to use two or more scanners for even better results.
Flexibility
Intelligent data capture offers flexibility because it can handle multi-page scans and create multi-page PDF files. It is one of the differences between intelligent data capture and OCR.
Ease of Use
Intelligent data capture is easier to use than OCR because it does not require a lot of advanced training. The design of OCR software is for individuals who are familiar with working in a business environment.
Cost-Cutting Measures
Intelligent data capture is a cost-cutting measure that can be applied to many different industries and tasks, as it is easier to set up than OCR, and it does not require a lot of space in an office or home office.
Advanced Features
Intelligent data capture is more advanced than OCR because it can recognize handwritten entries, tables, and charts and identify errors in a scanned image.
Expertise Required
OCR software is designed for individuals with an advanced understanding of business applications, while anyone with basic computer skills can implement intelligent data capture.
The difference between intelligent data capture and OCR is one of the most significant differences. It is not often of interest to people who are not professional users. Intelligent data capture can be considered a competitor to OCR. So, when comparing these two systems, you should consider several differences between them, as mentioned above.
AUTHOR NAME : ALISON LURIE