Extract line items, quantities, unit prices, delivery dates, and payment terms from purchase orders—any buyer format—into structured data for procurement automation.
Upload any document — PDF, scan, or photo — and get structured data back immediately. No setup, no templates, no waiting.
Drag and drop files, connect a cloud drive, or set up email auto-forwarding. Any file format works—PDF, JPEG, PNG, TIFF, or digital documents.
The AI identifies fields by context and meaning, not fixed coordinates. Names, dates, amounts, and custom fields are extracted automatically.
Get structured output in Excel, Google Sheets, CSV, or JSON. Use the REST API for direct integration into your systems.
“We receive POs from 300 different customers, each in their own format. Building templates for each one was a never-ending project. The AI parser handles them all on the first upload.”
“PO data entry errors were causing order fulfillment mistakes that damaged customer relationships. Automated parsing reduced our error rate from 4 percent to under 0.5 percent.”
“The procurement analytics we can now run on parsed PO data uncovered $200,000 in annual savings opportunities through supplier consolidation.”
Purchase orders are the foundation of procurement, but they remain one of the most manually processed document types in business. Every PO contains critical data—vendor information, line items with quantities and unit prices, delivery dates, payment terms, and shipping instructions—that must be accurately entered into ERP and procurement systems. For businesses receiving hundreds of POs per month, manual data entry creates a processing bottleneck that delays order fulfillment and introduces costly errors.
The purchase order parsing challenge stems from the fact that every buyer uses a different PO format. A manufacturer receiving POs from 200 different customers will encounter 200 different layouts, each with its own field positions, column headers, and supplemental terms. Template-based parsers require a separate mapping for each customer format, which is expensive to build and maintain. AI-powered PO parsing reads each document contextually, identifying line items, quantities, prices, and terms regardless of how the buyer has formatted the document.
Beyond data entry automation, purchase order parsing enables procurement analytics that are impossible with manual processing. When every PO is parsed into structured data, procurement teams can analyze ordering patterns, negotiate volume discounts based on actual purchase history, and identify opportunities to consolidate suppliers. Lido parses POs into structured spreadsheets or JSON that feed directly into ERP systems and procurement analytics platforms.
Procurement and order management teams evaluating PO parsers should prioritize line-item extraction accuracy, support for diverse buyer formats, handling of multi-page POs with extensive line items, and integration with ERP and order management systems. Lido provides AI-powered parsing with field-level confidence scores and output in Excel, CSV, and JSON.
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Documents deleted within 24 hours. No copies retained.
Purchase order parsing is the automated extraction of structured data from PO documents—line items, quantities, unit prices, totals, delivery dates, payment terms, and shipping instructions. AI-powered parsing handles any buyer format without per-customer templates.
The AI reads each purchase order contextually, identifying fields by meaning rather than position. Whether a buyer lists items in a table, uses different column headers, or includes custom fields, the parser extracts the relevant data into standardized output columns.
Yes. Lido processes multi-page purchase orders as a single document, extracting every line item across all pages. POs with hundreds of line items spanning dozens of pages are handled routinely.
Parsed PO data exports to Excel, CSV, and JSON for import into any ERP system. The REST API enables direct integration with SAP, Oracle, NetSuite, Microsoft Dynamics, and custom procurement platforms for automated order entry.
AI-powered PO parsing typically achieves 95 to 99 percent accuracy on line items, quantities, and prices. Confidence scores flag uncertain fields for review, ensuring that order entry errors are caught before they affect fulfillment.
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Built on Lido’s OCR engine
Built on Lido’s OCR engine
Built on Lido’s OCR engine
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