Content Analysis
Optical Character Recognition Use Case
Computer Vision
From unstructured templates to structured databases:
- Identification of common fields across a variety of invoices, claims and income statements
- Fields segmentation and labelling using a fixed and structured list of classes
- Field content typed in to train an Optical Character Recognition system
- Consensus workflow to prevent typing mistakes while maintaining high annotation performance
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“Without a systematic way to start and keep data clean, bad data will happen.”
Donato Diorio, CEO at data|z