Machine learning-powered automated document classification and data capture in the cloud for improved accuracy and performance.
Automated document classification and capture, powered by machine learning
To gain insight into the content that drives critical business processes, you must first identify what data is important, classify and extract that information, and then populate systems and processes in ways that will boost operational excellence. That can be difficult to do using outdated capture applications.
What if every time you classified and captured a document, your content management platform got smarter? What if you could empower business users to manage and onboard new content types as needed?
By combining patent-pending machine-learning technology with traditional OCR capabilities, KnowledgeLake's Capture Services can create a ‘digital fingerprint’ of each content type. Automated document classification and capture based on both content and layout unlock speed and accuracy that far outpace traditional capture tools like OCR engines alone.
Your extracted data is automatically routed to the business process it fuels, and your documents are simultaneously routed to your repository according to metadata, taking the guesswork out of how and where to store things.
Regardless of where content enters your organization, KnowledgeLake makes accessing that document and data easier and more effective.
The machine-learning technology powering capture services
KnowledgeLake’s digital fingerprinting technology expands the possibilities for process automation; for example, by intelligently associating new documents with the metadata already established in your repository, and even identifying documents that were originally misclassified.