Automated Document Classification
Quickly regain control of your sprawling, unstructured documents.
Use document classification to automatically organize them into logical groups based on similarity rankings in models that you train and control.
Classify Through ESP Feature Collection
Grooper’s ESP engine finds the different features of each page in order to group images together as classified documents. ESP uses three key methods to find page features:
Natural language processing looks at the text of the complete document to understand context.
Find unique key words or phrases that positively identify a document, like a title or section heading.
Computer vision finds structured forms based on what they look like without having to read from OCR.
Sit Back and Watch the Classification
Provide document examples and watch as Grooper learns the right document type for each one provided.
When batch testing, unclassified documents (those with low confidence scores) can be flagged and sent to a queue for someone to analyze and train further.
You can also classify photos now through Grooper and the best AI cloud services. Leverage the Azure Cognitive Services Computer Vision API to return words (or tags) that describe the content of a photo.
These tags can be used to classify photos or photos in documents, or to add to metadata. Also, adult or racy content can be moved to a separate location if it is detected.