Structured output
Headers and rows arrive in named fields
Invoice numbers, vendor fields, totals, and line items can be returned in a contract that fits your downstream system.
Invoice to JSON API
Finance JSON API
Turn invoices into JSON that your AP and ERP systems can actually use.
Invoice OCR is only useful when the result becomes a stable AP record. LeapOCR helps teams extract vendor fields, dates, totals, taxes, and line items into schema-fit JSON designed for downstream writeback.
Why teams use this
Extract invoice headers, totals, tax fields, and line items into structured JSON.
Support modern PDFs, embedded-image invoices, and low-quality scans in one workflow.
Keep markdown available for review while JSON powers the downstream system.
Invoice JSON request
The useful handoff is a trusted invoice object, not another OCR blob that still needs parsing.
Invoice to JSON request
{ "url": "https://example.com/invoice.pdf", "file_name": "invoice.pdf", "format": "structured", "schema": { "type": "object", "properties": { "vendor_name": { "type": "string" }, "invoice_number": { "type": "string" }, "invoice_total": { "type": "number" }, "line_items": { "type": "array" } } }}
Why it works
Why teams use a dedicated invoice-to-JSON page
The difference is not only OCR. It is whether the result lands in a trustworthy JSON contract for AP workflows.
Messy files
One path for exports, scans, and hybrid PDFs
Use the same extraction workflow across invoice layouts that vary in quality and structure.
Review
Keep markdown for exception handling
Finance teams can still inspect the page while structured JSON drives posting and validation logic.
What you control
What the JSON usually needs to contain
The useful invoice record is the one your finance or ERP workflow can validate without another parsing layer.
vendor
Header field
Vendor identity and invoice metadata
Capture vendor names, invoice numbers, dates, currencies, and payment terms in stable fields.
totals
Finance summary
Subtotal, tax, and total amounts
These amounts need to be first-class fields so AP teams can validate the record before posting.
rows
Array output
Line-item arrays when the workflow needs them
Line items can travel alongside the invoice header instead of becoming another downstream parsing problem.
schema
Output contract
Shape the payload for your ERP or AP stack
A schema lets the invoice object match the receiving system instead of only the PDF layout.
Examples
Two common invoice-to-JSON flows
Most teams either need a posting-ready invoice object or a reviewable page plus structured output for exceptions.
AP posting
Return a structured invoice record for downstream systems
This is the common path when invoice data must be validated and written into AP or ERP software.
Invoice result
json
{ "vendor_name": "Contoso Ltd.", "invoice_number": "INV-100", "invoice_date": "2026-03-08", "invoice_total": 610.0, "line_items": [ { "description": "Consulting service", "quantity": 1, "line_total": 100.0 } ]}
Exception review
Keep the page readable while JSON drives the workflow
A reviewable markdown version helps AP teams confirm the source layout when the invoice needs manual attention.
Markdown excerpt
md
# Invoice INV-100- Vendor: Contoso Ltd.- Invoice date: 2026-03-08- Total due: 610.00
FAQ
Questions teams ask before wiring this up
Straight answers for teams evaluating how this workflow fits into production.
Can LeapOCR convert scanned invoices into JSON?
Yes. The workflow supports both digital invoices and lower-quality scans, with JSON shaped for downstream finance systems.
How is this different from a generic OCR API?
A generic OCR API may stop at text. This workflow is about returning a usable invoice object with named fields and optional line items.
Can I still keep a readable version of the invoice?
Yes. Markdown remains useful for review, QA, and exception handling even when JSON is the main output for the workflow.
Ready to test
Test whether your invoices become usable JSON, not just OCR text
Run a real invoice and check whether the result fits your AP or ERP workflow without another cleanup layer.