Redacting Information from Unstructured Documents
This demo highlights how Hyperscience can be used to automate the process of extracting data from unstructured, handwritten documents, routing it through bespoke workflows to apply validation, enrichment, case collation, keyword search, or more advanced Natural Language Processing.
Key use cases include:
- Creating an accurate, text searchable PDF from an unstructured source, like an image that contains a combination of typed and handwritten text
- Redaction of information to automatically hide PII data in the source document
- Search for keywords in handwritten letter to help identify and classify the type of document