Extract SKUs, descriptions, quantities, weights, and carton details from packing lists—any supplier format—into structured data for receiving and inventory.
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 80 shipments per day from suppliers worldwide. Packing list OCR cut our receiving data entry from 3 hours to 20 minutes and eliminated the keying errors that caused inventory discrepancies.”
“Packing lists from our Asian suppliers were the hardest to process manually. The AI reads them correctly regardless of the layout, which was a game-changer for our team.”
“Matching packing lists to purchase orders used to take our team half a day. Now the data goes straight into a spreadsheet and the PO comparison is automated.”
Packing lists are the primary document for verifying shipment contents at the point of receiving. Every inbound shipment arrives with a packing list that itemizes what is in each carton or pallet—part numbers, descriptions, quantities, weights, and sometimes lot numbers or serial numbers. Warehouse teams use this information to check received goods against purchase orders and update inventory records. When packing list data must be entered manually, receiving slows down and discrepancies go undetected.
The format diversity of packing lists is extreme. Unlike standardized forms such as invoices or tax documents, packing lists follow no universal structure. A packing list from a domestic supplier looks different from one provided by a Chinese manufacturer, which looks different from one attached to an intercompany transfer. Some packing lists are single-page summaries while others span dozens of pages with hundreds of line items. Template-based OCR breaks down quickly in this environment because no two suppliers format their packing lists the same way.
AI-powered packing list OCR addresses this variability by reading each document contextually. The extraction engine identifies item numbers, descriptions, quantities, unit of measure, weights, and carton counts regardless of how the supplier has laid out the document. Lido converts any packing list into a structured spreadsheet where each row represents one line item, enabling immediate comparison against the corresponding purchase order.
Receiving managers evaluating packing list OCR should consider accuracy on quantity fields, support for multi-page documents, handling of international supplier formats, and integration with warehouse management systems. Lido provides batch processing, field-level confidence scores, and output in Excel, CSV, or JSON for seamless WMS integration.
Audited controls over a sustained period, not a point-in-time check.
Bank-grade encryption at rest and TLS 1.2+ in transit.
Documents deleted within 24 hours. No copies retained.
Packing list OCR automates the extraction of item details from packing lists—part numbers, descriptions, quantities, weights, and carton information. It eliminates manual data entry at the receiving dock, speeds up the receiving process, and reduces errors in inventory records.
AI-powered extraction reads each packing list contextually, identifying fields by meaning rather than position. This means packing lists from any supplier—domestic or international—are processed correctly without per-supplier templates or configuration.
Yes. Lido processes multi-page packing lists as a single document, extracting every line item across all pages into a consolidated spreadsheet. Documents with 500 or more line items are handled routinely.
AI-based extraction typically achieves 95 to 99 percent accuracy on clearly printed quantities. Confidence scoring flags values where the OCR engine is uncertain, which is critical for quantities since a misread digit directly affects inventory accuracy.
Yes. Lido exports to Excel, CSV, and JSON, and provides a REST API for direct integration with warehouse management systems including SAP WM, Oracle WMS, Manhattan Associates, and custom platforms.
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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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