document-understanding
2023.4
false
- Overview
- Document Understanding Process
- Quickstart tutorials
- Framework components
- ML packages
- Overview
- Document Understanding - ML package
- DocumentClassifier - ML package
- ML packages with OCR capabilities
- 1040 - ML package
- 4506T - ML package
- 990 - ML Package - Preview
- ACORD125 - ML package
- ACORD126 - ML package
- ACORD131 - ML package
- ACORD140 - ML package
- ACORD25 - ML package
- Bank Statements - ML package
- Bills Of Lading - ML package
- Certificate of Incorporation - ML package
- Certificate of Origin - ML package
- Checks - ML package
- Children Product Certificate - ML package
- CMS 1500 - ML package
- EU Declaration of Conformity - ML package
- Financial Statements - ML package
- FM1003 - ML package
- I9 - ML package
- ID Cards - ML package
- Invoices - ML package
- Invoices Australia - ML package
- Invoices China - ML package
- Invoices India - ML package
- Invoices Japan - ML package
- Invoices Shipping - ML package
- Packing Lists - ML package
- Passports - ML package
- Payslips - ML package
- Purchase Orders - ML package
- Receipts - ML Package
- Remittance Advices - ML package
- Utility Bills - ML package
- Vehicle Titles - ML package
- W2 - ML package
- W9 - ML package
- Other Out-of-the-box ML Packages
- Public Endpoints
- Hardware requirements
- Pipelines
- Document Manager
- OCR services
- Deep Learning
- Document Understanding deployed in Automation Suite
- Install and use
- First run experience
- Deploy UiPathDocumentOCR
- Deploy an out-of-the-box ML package
- Offline bundles 2023.4.11
- Offline bundles 2023.4.10+patch1
- Offline bundles 2023.4.10
- Offline bundles 2023.4.9
- Offline bundles 2023.4.8
- Offline bundles 2023.4.7
- Offline bundles 2023.4.6
- Offline Bundles 2023.4.5
- Oflline bundles 2023.4.4
- Offline Bundles 2023.4.3
- Offline Bundles 2023.4.2
- Offline Bundles 2023.4.1
- Offline Bundles 2023.4.0
- Use Document Manager
- Use the Framework
- Document Understanding deployed in AI Center standalone
- Licensing
- Activities
- UiPath.Abbyy.Activities
- UiPath.AbbyyEmbedded.Activities
- UiPath.DocumentProcessing.Contracts
- UiPath.DocumentUnderstanding.ML.Activities
- UiPath.DocumentUnderstanding.OCR.LocalServer.Activities
- UiPath.IntelligentOCR.Activities
- UiPath.OCR.Activities
- UiPath.OCR.Contracts
- UiPath.OmniPage.Activities
- UiPath.PDF.Activities
Document Understanding User Guide
Last updated Feb 13, 2025
Packing Lists - ML package
A Packing List is a shipping document used in international trade that accompanies delivery packages, usually inside an attached shipping pouch or inside the package itself. It commonly includes an itemized detail of the package contents. It is used by the exporter, the international freight forwarder, and by the consignee, for issuing other documents, such as Bill of Lading.
This pre-trained model can extract key data points from this document type.
The model automatically detects data such as:
- Sender Name and Address,
- Receiver Name and Address,
- Bill to Name and Address,
- Order Date, Order Number, Purchase Order Number, Number of Packages,
- Quantity Shipped, Product Code, Product Description, Quantity Ordered.
Note: For the complete list of extracted fields, check the Out-of-the-box Models Details file.
