Document scanning has come a long way from its origins. It was once a workflow reserved almost exclusively for archiving images of key records. But with the rise of sophisticated data extraction tools, scanning a paper, book, piece of microfilm or other source has become a highly automated process, and one that can yield deep insights into the contents of each asset.
Accordingly, document scanning is now an advanced form of data processing, and not just a workflow for creating archives. To help you digitize your records and better understand what’s in them, Inception Technologies offers end-to-end workflow automation for your document-oriented processes, including document capture solutions that efficiently locate, validate and extract data points from files.
These solutions deliver wide-ranging benefits for your productivity and compliance, including but not limited to:
- Optical character recognition (OCR) that makes document text fully and easily searchable.
- Optical mark recognition (OMR) for quickly checking whether certain forms and radio buttons have been filled or activated.
- Electronic database lookups to find matches for queries and pull any additional details about them.
- Point-and-click functionality for rapidly reading and extracting OCR values when tagging or indexing documents
- Regular expressions (regex or regexp) for efficiently defining search patterns and performing key operations such as find-and-replace or wildcard matches that locate any characters, including white space.
- Barcode scanning for harvesting data that’s not contained directly in a document’s body or tables.
- Combinations of the above technologies and techniques for retrieving data from any portion of a scanned document.
- Workflow automation that contextualizes data extraction within a broader sequence of document capture, information management and data storage, which is completely integrated into your key systems of record, from your ERP to your accounting software.
- Reduced setup costs, increased data integration and better systematic reviews of records as a result of overall superior extraction tools.
When you hear the words “data extraction,” you might initially think of search engines and other applications purpose-built to scrape and store information from around the web, in accordance with precisely defined rules. In truth, the way that enterprises use data processing techniques and technologies isn’t all that different – they are similarly built to systematically find and process anything that matches their specifications.