Schema fit
Shape output for the ERP contract
Use schemas and extraction rules that reflect the receiving system instead of the source document layout.
PDF to ERP-ready JSON API
ERP handoff API
Turn PDFs into ERP-ready JSON instead of another integration cleanup project.
The hard part of document OCR is often the handoff, not the read. LeapOCR helps teams convert PDFs and scans into JSON that already matches the receiving ERP or system-of-record contract.
Why teams use this
Shape PDF output into fields your ERP expects instead of generic OCR text.
Support invoices, purchase orders, statements, and mixed business documents.
Use schema-fit JSON for writeback while keeping markdown available for review.
ERP-ready request
The useful output is not just JSON. It is JSON that already matches the next system.
ERP-ready JSON request
{ "url": "https://example.com/document.pdf", "file_name": "document.pdf", "format": "structured", "schema": { "type": "object", "properties": { "document_type": { "type": "string" }, "external_id": { "type": "string" }, "amount_total": { "type": "number" } } }}
Why it works
Why ERP-ready JSON deserves its own page
Many OCR tools can return JSON. Fewer return JSON that is already shaped for the system receiving it next.
Mixed documents
Use one path across document classes
Invoices, purchase orders, statements, and supporting PDFs can all move through the same schema-first OCR layer.
Review
Keep markdown available for exceptions
Readable output remains useful when finance or ops teams need to inspect a document before final writeback.
What you control
What ERP-ready JSON usually means
The difference is not only that the response is JSON. It is that the JSON is shaped for a real receiving system.
contract
System-facing
Match the receiving system's shape
ERP-ready JSON means fields, arrays, and values already align with the next system instead of requiring another translation layer.
validation
Writeback safety
Support validation before posting
Structured extraction makes it easier to validate fields before they are written into an ERP or system of record.
documents
Multi-class input
Use the same OCR layer across business documents
ERP workflows often touch invoices, purchase orders, statements, and related files that still need one coherent extraction surface.
review
Readable backup
Keep the source legible to humans
Readable output helps operators and finance teams investigate exceptions without losing the structured path.
Examples
Two common ERP-ready JSON workflows
Most teams either need a posting-ready object for software or a readable document alongside the structured payload.
ERP writeback
Return a structured record that matches the next system
Useful when the extracted document data needs to land in an ERP or system-of-record with minimal additional mapping.
ERP-ready JSON
json
{ "document_type": "invoice", "external_id": "INV-100", "vendor_name": "Contoso Ltd.", "amount_total": 610.0}
Exception handling
Keep a readable document for operator checks
Useful when teams need to compare the structured payload against the source document before final writeback.
Markdown excerpt
md
# Invoice INV-100- Vendor: Contoso Ltd.- Total due: 610.00- Output target: ERP-ready JSON
FAQ
Questions teams ask before wiring this up
Straight answers for teams evaluating how this workflow fits into production.
How is this different from the existing PDF-to-JSON page?
This page targets the stronger commercial term 'PDF to ERP-ready JSON' and frames the value around downstream system fit rather than generic structured extraction.
Can the same workflow support multiple document types?
Yes. The schema-first approach works well when invoices, purchase orders, and other business documents all need to land in a system of record.
Can teams still keep a readable version of the document?
Yes. Markdown remains useful for review and exception handling even when the main goal is ERP-ready structured output.
Ready to test
Test whether your PDFs land in ERP-ready JSON without cleanup work
Run a real business document and see whether the response already matches the contract your downstream system expects.