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-[Setup on GitHub Codespaces](#setup-on-github-codespaces)
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-[Setup on Local](#setup-on-local)
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| Vision-based Extraction with Azure OpenAI GPT-4o GPT-4o |[Python](./samples/python/extraction/vision/document-extraction-gpt-vision.ipynb)\|[.NET](./samples/dotnet/extraction/vision/document-extraction-gpt-vision.ipynb)| Use Azure OpenAI GPT-4o models to extract structured data from documents using vision capabilities. | Complex documents with a mix of text and images, including diagrams, signatures, selection marks, etc. such as reports and contracts. |
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| Multi-Modal (Text and Vision) Extraction with Azure AI Document Intelligence and Azure OpenAI GPT-4o |[Python](./samples/python/extraction/multimodal/document-extraction-gpt-text-and-vision.ipynb)\|[.NET](./samples/dotnet/extraction/multimodal/document-extraction-gpt-text-and-vision.ipynb)| Improve the accuracy and confidence in extracting structured data from documents by combining text and images with LLMs. | Any structured or unstructured document type. |
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## Use Case Scenarios
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This repo also contains a collection of end-to-end use case scenarios that demonstrate how to combine the various samples to create a real-world scenario for document processing.
|**Invoice**|[Python](./samples/python/scenarios/invoices/invoice-extraction.ipynb)\|[.NET](./samples/dotnet/scenarios/invoices/invoice-extraction.ipynb)| Using a structured Invoice object ([Python](./samples/python/modules/samples/models/invoice.py)\|[.NET](./samples/dotnet/modules/samples/models/Invoice.csx)), invoice documents can be extracted into a standard Invoice schema by first classifying which pages to extract from using boundary detection. |
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## Getting Started
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The sample repository comes with a [**Dev Container**](./.devcontainer/README.md) that contains all the necessary tools and dependencies to run the sample. Please review the [**container and it's dependencies**](./.devcontainer/README.md) to understand all of the necessary components required to run these in a real-world environment, including the use of [Poppler](https://poppler.freedesktop.org/).
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