1. Upload a sample
Start with purchase order pdfs, scans, and images and create a dedicated Box.
Purchase order OCR
Extract Purchase Order Fields and Item Tables With OCR
Turn digital or scanned purchase orders into structured records for procurement, operations, and document-matching workflows.
No credit card Review before export CSV, Excel, JSON, PDF
Source document Ready
Structured output
PO number
Captured value
Buyer
Captured value
Supplier
Captured value
Order date
Captured value
Delivery date
3 rows extracted
Input
purchase order PDFs, scans, and images
Process
AI extraction, OCR when needed, batch processing, and human review.
Output
structured PO headers and item rows
How it works
Structure purchase orders before downstream matching
Purchase orders combine buyer and supplier details, delivery instructions, commercial terms, totals, and repeating item lines. OCR can recognize the page text, but a procurement workflow needs those values mapped into a consistent schema.
Parsinto lets you define PO header fields and a line-item table, process related documents, and review the output. The result can then support reporting or matching in the systems and controls your organization already uses.
Configurable schema
Extract the fields your workflow needs
Start with AI-suggested fields, then edit the names and table columns so the output matches your process.
PO number
Buyer
Supplier
Order date
Delivery date
Ship-to address
Terms and total
Item lines
Three steps
From source document to structured output
2. Define and extract
Use suggested fields or edit the schema, then process related documents in a batch.
3. Review and export
Check the extracted values and download structured po headers and item rows.
Use cases
Built for real document workflows
Keep the extraction step focused, auditable, and easy to hand off.
Procurement intake
Capture PO details from documents received across email and shared workflows.
Order operations
Prepare item-level data for tracking, reporting, or controlled system entry.
Document matching inputs
Extract PO references and item rows before matching continues in your existing controls.
Evaluation checklist
What to check before you scale
Supports header fields and item tables
OCR reads scanned POs
Schema is configurable
Does not perform authorization or matching decisions
Why teams use Parsinto
Configurable output
Name the fields and table columns around your own process.
Digital PDFs and scans
Use OCR only when needed while keeping one extraction workflow.
Review before handoff
Inspect extracted values before they reach another person or system.
Portable formats
Export CSV, Excel, JSON, or PDF instead of locking data into one destination.
FAQ
Questions about purchase order OCR
Which purchase order fields can Parsinto extract?+
Common fields include PO number, buyer, supplier, dates, addresses, terms, totals, and line-item details.
Can it read scanned purchase orders?+
Yes. OCR recognizes the scanned text before it is mapped to your PO schema.
Can I extract PO line items?+
Yes. Define columns such as item code, description, quantity, unit price, and line total.
Does Parsinto match purchase orders to invoices?+
Parsinto extracts document data. Matching rules, approvals, and decisions remain in your downstream process.
Keep exploring
View all tools Related document workflows
Try purchase order OCR with your own document
Create a Box, upload a representative file, review the suggested fields, and see whether the output matches your workflow.
Start extracting free