Optical Character Recognition (OCR) has been a staple in document automation for years. It can turn printed or handwritten text into machine-readable content—but that’s just the first step.
In a world of growing complexity and automation, plain text isn’t enough. Businesses need structured, validated, and actionable data.
That’s where DocuSchema comes in: combining the power of OCR with schema-driven extraction to deliver not just text—but trusted, structured information.
OCR can read characters from a scanned image or PDF, but it doesn’t understand what the text means or how it’s structured. That leads to:
In short: OCR gives you data, but not organized data.
Structured extraction is the process of converting documents into structured formats like JSON, where:
"invoice_number", "date", "total")This is exactly what DocuSchema does—with the help of AI and JSON Schema.
No need to hardcode templates. DocuSchema’s AI adapts to variations in formatting and field positioning.
Not just text blocks, but ready-to-use key-value pairs that map to your business logic or database schema.
Missing fields? Wrong formats? DocuSchema detects and flags them—before they cause downstream issues.
Once your schema is defined, DocuSchema can apply it to hundreds or thousands of documents, automatically.
With structured extraction, you can:
Structured extraction turns your documents into data pipelines—not dead ends.
OCR was just the beginning. If you want truly intelligent document processing, you need structured extraction—and schema-first tools like DocuSchema are leading the way.
Whether you're working with invoices, contracts, medical forms, or legal documents, DocuSchema ensures your data is:
✅ Accurate ✅ Consistent ✅ Actionable
Ready to move beyond OCR? Try DocuSchema for free and see the difference structured extraction can make. 👉 Start now at DocuSchema.com