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Copy file name to clipboardExpand all lines: articles/applied-ai-services/form-recognizer/concept-business-card.md
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ms.service: applied-ai-services
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ms.subservice: forms-recognizer
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ms.topic: conceptual
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ms.date: 11/10/2022
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ms.date: 11/14/2022
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ms.author: lajanuar
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recommendations: false
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---
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<!-- markdownlint-disable MD033 -->
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# Form Recognizer Business Card model
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# Azure Form Recognizer Business Card model
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::: moniker range="form-recog-3.0.0"
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[!INCLUDE [applies to v3.0](includes/applies-to-v3-0.md)]
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[!INCLUDE [applies to v2.1](includes/applies-to-v2-1.md)]
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::: moniker-end
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The business card model combines powerful Optical Character Recognition (OCR) capabilities with deep learning models to analyze and extract key information from business card images. The API analyzes printed business cards; extracts key information such as first name, last name, company name, email address, and phone number; and returns a structured JSON data representation.
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The Form Recognizer business card model combines powerful Optical Character Recognition (OCR) capabilities with deep learning models to analyze and extract key information from business card images. The API analyzes printed business cards; extracts key information such as first name, last name, company name, email address, and phone number; and returns a structured JSON data representation.
Copy file name to clipboardExpand all lines: articles/applied-ai-services/form-recognizer/concept-general-document.md
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ms.service: applied-ai-services
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ms.subservice: forms-recognizer
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ms.topic: conceptual
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ms.date: 11/10/2022
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ms.date: 11/14/2022
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ms.author: lajanuar
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monikerRange: 'form-recog-3.0.0'
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The General document v3.0 model combines powerful Optical Character Recognition (OCR) capabilities with deep learning models to extract key-value pairs, tables, and selection marks from documents. General document is only available with the v3.0 API. For more information on using the v3.0 API, see our [migration guide](v3-migration-guide.md).
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### Key-value extraction
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### Key-value pair extraction
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The general document API supports most form types and will analyze your documents and extract keys and associated values. It's ideal for extracting common key-value pairs from documents. You can use the general document model as an alternative to training a custom model without labels.
Copy file name to clipboardExpand all lines: articles/applied-ai-services/form-recognizer/concept-id-document.md
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ms.service: applied-ai-services
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ms.subservice: forms-recognizer
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ms.topic: conceptual
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ms.date: 11/11/2022
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ms.date: 11/14/2022
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ms.author: lajanuar
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recommendations: false
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ms.custom: references.regions
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---
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<!-- markdownlint-disable MD033 -->
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# Form Recognizer identity document (ID) model
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# Azure Form Recognizer identity document model
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::: moniker range="form-recog-3.0.0"
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[!INCLUDE [applies to v3.0](includes/applies-to-v3-0.md)]
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::: moniker range="form-recog-3.0.0"
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Azure Form Recognizer Identity document (ID) model combines Optical Character Recognition (OCR) with deep learning models to analyze and extract key information from identity documents such as US Drivers Licenses (all 50 states and District of Columbia), international passport biographical pages, US state IDs, social security cards, and permanent resident cards and more. The API analyzes identity documents, extracts key information, and returns a structured JSON data representation.
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Form Recognizer Identity document (ID) model combines Optical Character Recognition (OCR) with deep learning models to analyze and extract key information from identity documents such as US Drivers Licenses (all 50 states and District of Columbia), international passport biographical pages, US state IDs, social security cards, and permanent resident cards and more. The API analyzes identity documents, extracts key information, and returns a structured JSON data representation.
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::: moniker-end
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::: moniker range="form-recog-2.1.0"
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Azure Form Recognizer can analyze and extract information from government-issued identification documents (IDs) using its prebuilt IDs model. It combines our powerful [Optical Character Recognition (OCR)](../computer-vision/overview-ocr.md) capabilities with ID recognition capabilities to extract key information from Worldwide Passports and U.S. Driver's Licenses (all 50 states and D.C.). The IDs API extracts key information from these identity documents, such as first name, last name, date of birth, document number, and more. This API is available in the Form Recognizer v2.1 as a cloud service.
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Azure Form Recognizer can analyze and extract information from government-issued identification documents (IDs) using its prebuilt IDs model. It combines our powerful [Optical Character Recognition (OCR)](../../cognitive-services/computer-vision/overview-ocr.md) capabilities with ID recognition capabilities to extract key information from Worldwide Passports and U.S. Driver's Licenses (all 50 states and D.C.). The IDs API extracts key information from these identity documents, such as first name, last name, date of birth, document number, and more. This API is available in the Form Recognizer v2.1 as a cloud service.
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::: moniker-end
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* The "selectionMarks" node shows every selection mark (checkbox, radio mark) and whether its status is "selected" or "unselected".
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* The "pageResults" section includes the tables extracted. For each table, the text, row, and column index, row and column spanning, bounding box, and more are extracted.
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* The "documentResults" field contains key/value pairs information and line items information for the most relevant parts of the document.
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> [!NOTE]
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> The [Sample Labeling tool](https://fott-2-1.azurewebsites.net/) does not support the BMP file format. This is a limitation of the tool not the Form Recognizer Service.
Copy file name to clipboardExpand all lines: articles/applied-ai-services/form-recognizer/concept-invoice.md
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ms.service: applied-ai-services
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ms.topic: conceptual
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ms.author: lajanuar
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recommendations: false
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# Form Recognizer invoice model
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# Azure Form Recognizer invoice model
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::: moniker range="form-recog-3.0.0"
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[!INCLUDE [applies to v3.0](includes/applies-to-v3-0.md)]
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[!INCLUDE [applies to v2.1](includes/applies-to-v2-1.md)]
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The machine-learning-based invoice model combines powerful Optical Character Recognition (OCR) capabilities with invoice understanding models to analyze and extract key fields and line items from sales invoices. Invoices can be of various formats and quality including phone-captured images, scanned documents, and digital PDFs. The API analyzes invoice text; extracts key information such as customer name, billing address, due date, and amount due; and returns a structured JSON data representation. The model currently supports both English and Spanish invoices.
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The Form Recognizer invoice model combines powerful Optical Character Recognition (OCR) capabilities with invoice understanding models to analyze and extract key fields and line items from sales invoices. Invoices can be of various formats and quality including phone-captured images, scanned documents, and digital PDFs. The API analyzes invoice text; extracts key information such as customer name, billing address, due date, and amount due; and returns a structured JSON data representation. The model currently supports both English and Spanish invoices.
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## Automated invoice processing
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* Supported file formats: JPEG, PNG, PDF, and TIFF
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* For PDF and TIFF, up to 2000 pages are processed. For free tier subscribers, only the first two pages are processed.
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* The file size must be less than 50 MB and dimensions at least 50 x 50 pixels and at most 10,000 x 10,000 pixels.
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::: moniker-end
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## Try invoice data extraction
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See how data, including customer information, vendor details, and line items, is extracted from invoices using the Form Recognizer Studio. You'll need the following resources:
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See how data, including customer information, vendor details, and line items, is extracted from invoices. You'll need the following resources:
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* An Azure subscription—you can [create one for free](https://azure.microsoft.com/free/cognitive-services/)
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Copy file name to clipboardExpand all lines: articles/applied-ai-services/form-recognizer/concept-layout.md
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[!INCLUDE [applies to v2.1](includes/applies-to-v2-1.md)]
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Form Recognizer layout model is an advanced machine-learning based document analysis API available in the Form Recognizer cloud. It enables you to take documents in a variety of formats and return structured data representations of the documents. It combines an enhanced version of our powerful [Optical Character Recognition (OCR)](../../cognitive-services/Bing-Autosuggest/computer-vision/overview-ocr.md) capabilities with deep learning models to extract text, tables, selection marks, and document structure.
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Form Recognizer layout model is an advanced machine-learning based document analysis API available in the Form Recognizer cloud. It enables you to take documents in a variety of formats and return structured data representations of the documents. It combines an enhanced version of our powerful [Optical Character Recognition (OCR)](../../cognitive-services/computer-vision/overview-ocr.md) capabilities with deep learning models to extract text, tables, selection marks, and document structure.
Copy file name to clipboardExpand all lines: articles/applied-ai-services/form-recognizer/concept-receipt.md
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monikerRange: '>=form-recog-2.1.0'
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# Form Recognizer receipt model
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The Form Recognizer receipt model combines powerful Optical Character Recognition (OCR) capabilities with deep learning models to analyze and extract key information from sales receipts. Receipts can be of various formats and quality including printed and handwritten receipts. The API extracts key information such as merchant name, merchant phone number, transaction date, tax, and transaction total and returns structured JSON data.
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# Azure Form Recognizer receipt model
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[!INCLUDE [applies to v2.1](includes/applies-to-v2-1.md)]
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The Form Recognizer receipt model combines powerful Optical Character Recognition (OCR) capabilities with deep learning models to analyze and extract key information from sales receipts. Receipts can be of various formats and quality including printed and handwritten receipts. The API extracts key information such as merchant name, merchant phone number, transaction date, tax, and transaction total and returns structured JSON data.
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## Receipt data extraction
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Receipt digitization is the process of converting scanned receipts into digital form for downstream processing. Azure Form Recognizer OCRpowered receipt data extraction helps to automate the conversion and save time and effort. The output from the receipt data extraction is used for accounts payable and receivables automation, sales data analytics, and other business scenarios.
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Receipt digitization is the process of converting scanned receipts into digital form for downstream processing. Azure Form Recognizer OCR-powered receipt data extraction helps to automate the conversion and save time and effort. The output from the receipt data extraction is used for accounts payable and receivables automation, sales data analytics, and other business scenarios.
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* Supported file formats: JPEG, PNG, PDF, and TIFF
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* For PDF and TIFF, up to 2000 pages are processed. For free tier subscribers, only the first two pages are processed.
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* The file size must be less than 50 MB and dimensions at least 50 x 50 pixels and at most 10,000 x 10,000 pixels.
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### Try receipt data extraction
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See how data, including time and date of transactions, merchant information, and amount totals, is extracted from receipts using the Form Recognizer Studio. You'll need the following resources:
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See how data, including time and date of transactions, merchant information, and amount totals, is extracted from receipts. You'll need the following resources:
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* An Azure subscription—you can [create one for free](https://azure.microsoft.com/free/cognitive-services/)
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