In the enterprise world, document extraction has been stuck in a 20-year rut. For decades, companies have relied on a fragile assembly line: OCR to convert pixels to text, templates to find fields, and a team of human reviewers to fix the inevitable 30% error rate.When a utility provider changes a font or a customer submits a photo of a crumpled bill, these legacy systems break. To solve this, we need to move away from rigid string searches and toward semantic understanding.The architectureFigure 1 illustrates the components of an AI-based solution, using components from Red Hat and Valantor,
Beyond OCR: Achieving 98% billing accuracy with GroundX and Red Hat OpenShift AI
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September 18, 2026
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