Computer vision lets automation read images: scanned documents, photos, handwritten forms, and on-screen content. This matters because many business documents arrive as images rather than machine-readable text.
Common applications include scanned invoice reading (extracting data from PDFs that are images, not text), handwritten form processing (patient registrations, insurance claims, customs declarations), quality inspection in manufacturing (checking dimensions, identifying defects from photos), and document completeness checking (verifying that required signatures, photos, or supporting documents are present).
Roborana uses UiPath's built-in computer vision capabilities and Azure Computer Vision / Document Intelligence for these use cases. We test model accuracy on your actual documents before committing to production, because a model trained on standard invoices may struggle with your specific supplier formats.
The practical approach: automate what the model handles confidently and route unclear cases to human review. This is still far more efficient than processing everything manually.



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