Parse SKUs, quantities, lot numbers, weights, and carton details from packing lists into structured data ready for your inventory or ERP system—any supplier format.
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 maintain 12,000 SKUs across three warehouses. Parsing packing lists directly into our WMS eliminated the receiving backlog that was causing stock discrepancies and delayed put-away.”
“The lot number extraction is critical for our FDA-regulated products. Every incoming shipment needs lot traceability, and the parser captures this data without manual entry.”
“Our suppliers send packing lists in every format imaginable. The parser handles all of them, which means we no longer need to train receiving staff on different supplier document layouts.”
Inventory accuracy depends on clean data at the point of receiving, and that data starts with the packing list. Every inbound shipment carries a packing list that maps what was sent—item identifiers, quantities, weights, carton counts, and sometimes lot or batch numbers. Parsing this information into a format that inventory systems can consume is the critical first step in maintaining accurate stock records. A dedicated packing list parser transforms this document into structured rows that match the schema of downstream inventory and ERP platforms.
The parsing challenge is fundamentally different from simple OCR. While OCR converts document images into text, parsing goes further by understanding the document structure and mapping extracted values to named fields. A packing list parser knows that the column labeled “Qty” in one supplier’s format means the same thing as “Quantity Shipped” in another’s, and both map to the quantity field in the output schema. This semantic understanding is what makes parsed data immediately usable by inventory systems.
For businesses managing complex supply chains, packing list parsing directly impacts inventory carrying costs and stockout rates. When packing list data enters the system late or with errors, safety stock levels must be set higher to compensate, tying up working capital in excess inventory. Lido parses packing lists into structured output within seconds of upload, enabling real-time inventory updates that reduce the need for inflated safety stock.
Supply chain and inventory teams evaluating packing list parsers should prioritize field mapping flexibility, accuracy on quantity and weight values, support for multi-page documents with hundreds of line items, and output compatibility with their WMS or ERP system. Lido supports custom field mapping via AI columns and outputs to Excel, CSV, and JSON.
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.
A packing list parser reads packing list documents and extracts structured data—SKUs, quantities, weights, carton counts, lot numbers—into organized rows and columns. Unlike basic OCR that produces raw text, a parser maps extracted values to named fields that inventory and ERP systems can consume directly.
The AI reads each packing list contextually, recognizing that different column headers and layouts map to the same underlying fields. A column labeled “Part No.” in one format and “Item Number” in another both map to the SKU field in the structured output.
Yes. When packing lists include lot numbers, batch codes, serial numbers, or expiration dates, the parser extracts these fields alongside the standard item details. This is particularly important for food, pharmaceutical, and regulated product supply chains.
By converting packing lists into structured data immediately at receiving, the parser enables real-time inventory updates. This eliminates the lag between physical receipt and system update that causes stock discrepancies and forces businesses to carry excess safety stock.
Parsed data exports to Excel, CSV, and JSON for import into any WMS or ERP system. The REST API supports direct integration with SAP, Oracle, NetSuite, Fishbowl, and custom inventory platforms.
Start free with 50 pages. Upgrade when you’re ready.
Built on Lido’s OCR engine
Built on Lido’s OCR engine
Built on Lido’s OCR engine
50 free pages. No credit card required.