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Copy file name to clipboardExpand all lines: sdk/formrecognizer/Azure.AI.FormRecognizer/README.md
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# Azure Cognitive Services Form Recognizer client library for .NET
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Azure Cognitive Services Form Recognizer is a cloud service that uses machine learning to analyze text and structured data from your documents. It includes the following main features:
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- Layout - Extract text, table structures, and selection marks, along with their bounding region coordinates, from documents.
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- Document - Analyze entities, key-value pairs, tables, and selection marks from documents using the general prebuilt document model.
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- Prebuilt - Analyze data from certain types of common documents (such as receipts, invoices, business cards, or identity documents) using pre-trained models.
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- Custom - Build custom models to analyze text, field values, selection marks, and table data from documents. Custom models are trained with your own data, so they're tailored to your documents.
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- Layout - Extract text, selection marks, and table structures, along with their bounding region coordinates, from documents.
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- Document - Analyze key-value pairsand entities in addition to general layout from documents.
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- Prebuilt - Analyze data from certain types of common documents (such as receipts, invoices, business cards, or identity documents) using prebuilt models.
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- Custom - Build custom models to analyze text, field values, selection marks, and tabular data from documents. Custom models are trained with your own data, so they're tailored to your documents.
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|Model ID|Features
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|-|-
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|"prebuilt-layout"| Text extraction, selection marks, tables
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|"prebuilt-document"| Text extraction, selection marks, tables, key-value pairs and entities
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|"prebuilt-invoices"| Text extraction, selection marks, tables, and pre-trained fields and values pertaining to invoices
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|"prebuilt-businessCard"| Text extraction and pre-trained fields and values pertaining to business cards
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|"prebuilt-idDocument"| Text extraction and pre-trained fields and values pertaining to driver licenses and international passports
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|"prebuilt-receipt"| Text extraction and pre-trained fields and values pertaining to sales receipts
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|"{custom-model-id}"| Text extraction, selection marks, tables, labeled fields and values from your custom documents
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|`prebuilt-layout`| Text extraction, selection marks, tables
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|`prebuilt-document`| Text extraction, selection marks, tables, key-value pairs and entities
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|`prebuilt-invoices`| Text extraction, selection marks, tables, and pre-trained fields and values pertaining to invoices
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|`prebuilt-businessCard`| Text extraction and pre-trained fields and values pertaining to business cards
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|`prebuilt-idDocument`| Text extraction and pre-trained fields and values pertaining to driver licenses and international passports
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|`prebuilt-receipt`| Text extraction and pre-trained fields and values pertaining to sales receipts
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|`{custom-model-id}`| Text extraction, selection marks, tables, labeled fields and values from your custom documents
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More information about analyzing documents, including supported features, locales, and which types of documents are supported can be found in the [service documentation][formreco_models].
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For more information and samples see [here][extract_layout].
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### Use the Prebuilt Document Model
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Analyze entities, key-value pairs, tables, and selection marks from documents using the general prebuilt document model.
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Analyze key-value pairs, entities, tables, and selection marks from documents using the general prebuilt document model.
Copy file name to clipboardExpand all lines: sdk/formrecognizer/Azure.AI.FormRecognizer/samples/README.md
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Azure Cognitive Services Form Recognizer is a cloud service that uses machine learning to analyze text and structured data from your documents. It includes the following main features:
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- Layout - Extract text, table structures, and selection marks, along with their bounding region coordinates from documents.
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- Document - Analyze entities, key-value pairs, tables, and selection marks from documents using the general prebuilt document model.
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- Prebuilt - Analyze data from certain types of common documents (such as receipts, invoices, business cards, or identity documents) using pre-trained models.
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- Custom - Build custom models to analyze text, field values, selection marks, and table data from documents. Custom models are trained with your own data, so they're tailored to your documents.
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- Layout - Extract text, selection marks, and table structures, along with their bounding region coordinates, from documents.
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- Document - Analyze key-value pairsand entities in addition to general layout from documents.
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- Prebuilt - Analyze data from certain types of common documents (such as receipts, invoices, business cards, or identity documents) using prebuilt models.
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- Custom - Build custom models to analyze text, field values, selection marks, and tabular data from documents. Custom models are trained with your own data, so they're tailored to your documents.
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## Common scenarios samples for client library version 4.0.0-beta.x
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-[Extract the layout of a document](https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/formrecognizer/Azure.AI.FormRecognizer/samples/Sample_ExtractLayout.md)
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# Analyze with the prebuilt document model
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This sample demonstrates how to analyze entities, key-value pairs, tables, and selection marks from documents using the general prebuilt document model.
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This sample demonstrates how to analyze key-value pairs, entities, tables, and selection marks from documents using the general prebuilt document model.
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To get started you'll need a Cognitive Services resource or a Form Recognizer resource. See [README][README] for prerequisites and instructions.
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