Merge pull request #202992 from laujan/1955840-update-fr-overview-for-ux

⭐ overview page UX study

Author: JamesJBarnett

articles/applied-ai-services/form-recognizer/overview-experiment.md

@@ -0,0 +1,122 @@
+---
+title: "Overview: What is Azure Form Recognizer?"
+titleSuffix: Azure Applied AI Services
+description: Azure Form Recognizer service that analyzes and extracts text, table and data, maps field relationships as key-value pairs, and returns a structured JSON output from your forms and documents.
+author: laujan
+manager: nitinme
+ms.service: applied-ai-services
+ms.subservice: forms-recognizer
+ms.topic: overview
+ms.date: 07/20/2022
+ms.author: lajanuar
+recommendations: false
+robots: noindex
+---
+
+<!-- markdownlint-disable MD033 -->
+<!-- markdownlint-disable MD024 -->
+<!-- markdownlint-disable MD036 -->
+# Overview: What is Azure Form Recognizer?
+
+Azure Form Recognizer is a cloud-based [Azure Applied AI Service](../../applied-ai-services/index.yml) that analyzes forms and documents, extracts text and data, and maps field relationships as key-value pairs. To learn more about each model, *see* Concepts articles:
+
+| Model type | Model name |
+|------------|-----------|
+|**Document analysis models**| &#9679; [**Read model**](concept-read.md)</br> &#9679; [**General document model**](concept-general-document.md)</br> &#9679; [**Layout model**](concept-layout.md) </br>  |
+| **Prebuilt models** | &#9679; [**W-2 form model**](concept-w2.md) </br>&#9679; [**Invoice model**](concept-invoice.md)</br>&#9679; [**Receipt model**](concept-receipt.md) </br>&#9679; [**ID document model**](concept-id-document.md) </br>&#9679; [**Business card model**](concept-business-card.md) </br>
+| **Custom models** | &#9679; [**Custom model**](concept-custom.md) </br>&#9679; [**Composed model**](concept-model-overview.md)|
+
+## Which Form Recognizer model should I use?
+
+This section will help you decide which Form Recognizer v3.0 supported model you should use for your application:
+
+| Type of document | Data to extract |Document format | Your best solution |
+| -----------------|-------------------| ----------|-------------------|
+|**A text-based document** like a contract or letter.|You want to extract primarily text lines, words, locations, and detected languages.|</li></ul>The document is written or printed in a [supported language](language-support.md#read-layout-and-custom-form-template-model).| [**Read (preview) model**](concept-read.md)|
+|**A document that includes structural information** like a report or study.|In addition to text, you need to extract structural information like tables, selection marks, paragraphs, titles, headings, and subheadings.|The document is written or printed in a [supported language](language-support.md#read-layout-and-custom-form-template-model)| [**Layout model**](concept-layout.md)
+|**A structured or semi-structured document that includes content formatted as fields and values**, like a credit application or survey form.|You want to extract fields and values including ones not covered by the scenario-specific prebuilt models **without having to train a custom model**.| The form or document is a standardized format commonly used in your business or industry and printed in a [supported language](language-support.md#read-layout-and-custom-form-template-model).|[**General document (preview) model**](concept-general-document.md)
+|**U.S. W-2 form**|You want to extract key information such as salary, wages, and taxes withheld from US W2 tax forms.</li></ul> |The W-2 document is in United States English (en-US) text.|[**W-2 model**](concept-w2.md)
+|**Invoice**|You want to extract key information such as customer name, billing address, and amount due from invoices.</li></ul> |The invoice document is written or printed in a [supported language](language-support.md#invoice-model).|[**Invoice model**](concept-invoice.md)
+ |**Receipt**|You want to extract key information such as merchant name, transaction date, and transaction total from a sales or single-page hotel receipt.</li></ul> |The receipt is written or printed in a [supported language](language-support.md#receipt-model). |[**Receipt model**](concept-receipt.md)|
+|**ID document** like a passport or driver's license. |You want to extract key information such as first name, last name, and date of birth from US drivers' licenses or international passports. |Your ID document is a US driver's license or the biographical page from an international passport (not a visa).| [**ID document model**](concept-id-document.md)|
+|**Business card**|You want to extract key information such as first name, last name, company name, email address, and phone number from business cards.</li></ul>|The business card document is in English or Japanese text. | [**Business card model**](concept-business-card.md)|
+|**Mixed-type document(s)**| You want to extract key-value pairs, selection marks, tables, signature fields, and selected regions not extracted by prebuilt or general document models.| You have various documents with structured, semi-structured, and/or unstructured elements.| [**Custom model**](concept-custom.md)|
+
+>[!Tip]
+>
+> * If you're still unsure which model to use, try the General Document model.
+> * The General Document model is powered by the Read OCR model to detect lines, words, locations, and languages.
+> * General document extracts all the same fields as Layout model (pages, tables, styles) and also extracts key-value pairs.
+
+## Form Recognizer models and development options
+
+### [Form Recognizer preview (v3.0)](#tab/v3-0)
+
+The following models  and development options are supported by the Form Recognizer service v3.0. You can Use Form Recognizer to automate your data processing in applications and workflows, enhance data-driven strategies, and enrich document search capabilities. Use the links in the table to learn more about each model and browse the API references.
+
+| Model | Description |Automation use cases | Development options |
+|----------|--------------|-------------------------|-----------|
+|[🆕 **Read**](concept-read.md)|Extract text lines, words, detected languages, and handwritten style if detected.| <ul><li>Contract processing. </li><li>Financial or medical report processing.</li></ul>|<ul ><li>[**Form Recognizer Studio**](https://formrecognizer.appliedai.azure.com/studio/read)</li><li>[**REST API**](how-to-guides/use-prebuilt-read.md?pivots=programming-language-rest-api)</li><li>[**C# SDK**](how-to-guides/use-prebuilt-read.md?pivots=programming-language-csharp)</li><li>[**Python SDK**](how-to-guides/use-prebuilt-read.md?pivots=programming-language-python)</li><li>[**Java SDK**](how-to-guides/use-prebuilt-read.md?pivots=programming-language-java)</li><li>[**JavaScript**](how-to-guides/use-prebuilt-read.md?pivots=programming-language-javascript)</li></ul> |
+|[🆕 **General document model**](concept-general-document.md)|Extract text, tables, structure, and key-value pairs.|<ul><li>Key-value pair extraction.</li><li>Form processing.</li><li>Survey data collection and analysis.</li></ul>|<ul ><li>[**Form Recognizer Studio**](https://formrecognizer.appliedai.azure.com/studio/document)</li><li>[**REST API**](quickstarts/try-v3-rest-api.md#reference-table)</li><li>[**C# SDK**](quickstarts/try-v3-csharp-sdk.md#general-document-model)</li><li>[**Python SDK**](quickstarts/try-v3-python-sdk.md#general-document-model)</li><li>[**Java SDK**](quickstarts/try-v3-java-sdk.md#general-document-model)</li><li>[**JavaScript**](quickstarts/try-v3-javascript-sdk.md#general-document-model)</li></ul> |
+|[**Layout model**](concept-layout.md) | Extract text, selection marks, and tables structures, along with their bounding box coordinates, from forms and documents.</br></br> Layout API has been updated to a prebuilt model. |<ul><li>Document indexing and retrieval by structure.</li><li>Preprocessing prior to OCR analysis.</li></ul> |<ul><li>[**Form Recognizer Studio**](https://formrecognizer.appliedai.azure.com/studio/layout)</li><li>[**REST API**](quickstarts/try-v3-rest-api.md#reference-table)</li><li>[**C# SDK**](quickstarts/try-v3-csharp-sdk.md#layout-model)</li><li>[**Python SDK**](quickstarts/try-v3-python-sdk.md#layout-model)</li><li>[**Java SDK**](quickstarts/try-v3-java-sdk.md#layout-model)</li><li>[**JavaScript**](quickstarts/try-v3-javascript-sdk.md#layout-model)</li></ul>|
+|[**Custom model (updated)**](concept-custom.md) | Extraction and analysis of data from forms and documents specific to distinct business data and use cases.</br></br>Custom model API v3.0 supports **signature detection for custom template (custom form) models**.</br></br>Custom model API v3.0 now supports two model types:ul><li>[**Custom Template model**](concept-custom-template.md) (custom form) is used to analyze structured and semi-structured documents.</li><li> [**Custom Neural model**](concept-custom-neural.md) (custom document) is used to analyze unstructured documents.</li></ul>|<ul><li>Identification and compilation of data, unique to your business, impacted by a regulatory change or market event.</li><li>Identification and analysis of previously overlooked unique data.</li></ul> |[**Form Recognizer Studio**](https://formrecognizer.appliedai.azure.com/studio/custommodel/projects)</li><li>[**REST API**](quickstarts/try-v3-rest-api.md)</li><li>[**C# SDK**](quickstarts/try-v3-csharp-sdk.md)</li><li>[**Python SDK**](quickstarts/try-v3-python-sdk.md)</li><li>[**Java SDK**](quickstarts/try-v3-java-sdk.md)</li><li>[**JavaScript**](quickstarts/try-v3-javascript-sdk.md)</li></ul>|
+|[🆕 **W-2 Form**](concept-w2.md) | Extract information reported in each box on a W-2 form.|<ul><li>Automated tax document management.</li><li>Mortgage loan application processing.</li></ul> |<ul ><li>[**Form Recognizer Studio**](https://formrecognizer.appliedai.azure.com/studio/prebuilt?formType=tax.us.w2)<li>[**REST API**](https://westus.dev.cognitive.microsoft.com/docs/services/form-recognizer-api-v3-0-preview-2/operations/AnalyzeDocument)</li><li>[**C# SDK**](quickstarts/try-v3-csharp-sdk.md#prebuilt-model)</li><li>[**Python SDK**](quickstarts/try-v3-python-sdk.md#prebuilt-model)</li><li>[**Java SDK**](quickstarts/try-v3-java-sdk.md#prebuilt-model)</li><li>[**JavaScript**](quickstarts/try-v3-javascript-sdk.md#prebuilt-model)</li></ul> |
+|[**Invoice model**](concept-invoice.md) | Automated data processing and extraction of key information from sales invoices. |<ul><li>Accounts payable processing.</li><li>Automated tax recording and reporting.</li></ul> |<ul><li>[**Form Recognizer Studio**](https://formrecognizer.appliedai.azure.com/studio/prebuilt?formType=invoice)</li><li>[**REST API**](https://westus.dev.cognitive.microsoft.com/docs/services/form-recognizer-api-2022-06-30-preview/operations/AnalyzeDocument)</li><li>[**C# SDK**](quickstarts/try-v3-csharp-sdk.md#prebuilt-model)</li><li>[**Python SDK**](quickstarts/try-v3-python-sdk.md#prebuilt-model)</li></ul>|
+|[**Receipt model (updated)**](concept-receipt.md) | Automated data processing and extraction of key information from sales receipts.</br></br>Receipt model v3.0 supports processing of **single-page hotel receipts**.|<ul><li>Expense management.</li><li>Consumer behavior data analysis.</li><li>Customer loyalty program.</li><li>Merchandise return processing.</li><li>Automated tax recording and reporting.</li></ul> |<ul><li>[**Form Recognizer Studio**](https://formrecognizer.appliedai.azure.com/studio/prebuilt?formType=receipt)</li><li>[**REST API**](quickstarts/try-v3-rest-api.md)</li><li>[**C# SDK**](quickstarts/try-v3-csharp-sdk.md#prebuilt-model)</li><li>[**Python SDK**](quickstarts/try-v3-python-sdk.md#prebuilt-model)</li><li>[**Java SDK**](quickstarts/try-v3-java-sdk.md#prebuilt-model)</li><li>[**JavaScript**](quickstarts/try-v3-javascript-sdk.md#prebuilt-model)</li></ul>|
+|[**ID document model (updated)**](concept-id-document.md) |Automated data processing and extraction of key information from US driver's licenses and international passports.</br></br>Prebuilt ID document API supports the **extraction of endorsements, restrictions, and vehicle classifications from US driver's licenses**. |<ul><li>Know your customer (KYC) financial services guidelines compliance.</li><li>Medical account management.</li><li>Identity checkpoints and gateways.</li><li>Hotel registration.</li></ul> |<ul><li> [**Form Recognizer Studio**](https://formrecognizer.appliedai.azure.com/studio/prebuilt?formType=idDocument)</li><li>[**REST API**](quickstarts/try-v3-rest-api.md)</li><li>[**C# SDK**](quickstarts/try-v3-csharp-sdk.md#prebuilt-model)</li><li>[**Python SDK**](quickstarts/try-v3-python-sdk.md#prebuilt-model)</li><li>[**Java SDK**](quickstarts/try-v3-java-sdk.md#prebuilt-model)</li><li>[**JavaScript**](quickstarts/try-v3-javascript-sdk.md#prebuilt-model)</li></ul>|
+|[**Business card model**](concept-business-card.md) |Automated data processing and extraction of key information from business cards.|<ul><li>Sales lead and marketing management.</li></ul> |<ul><li>[**Form Recognizer Studio**](https://formrecognizer.appliedai.azure.com/studio/prebuilt?formType=businessCard)</li><li>[**REST API**](quickstarts/try-v3-rest-api.md)</li><li>[**C# SDK**](quickstarts/try-v3-csharp-sdk.md#prebuilt-model)</li><li>[**Python SDK**](quickstarts/try-v3-python-sdk.md#prebuilt-model)</li><li>[**Java SDK**](quickstarts/try-v3-java-sdk.md#prebuilt-model)</li><li>[**JavaScript**](quickstarts/try-v3-javascript-sdk.md#prebuilt-model)</li></ul>|
+
+### [Form Recognizer GA (v2.1)](#tab/v2-1)
+
+ >[!TIP]
+ >
+ > * For an enhanced experience and advanced model quality, try the [Form Recognizer v3.0 Studio (preview)](https://formrecognizer.appliedai.azure.com/studio).
+ > * The v3.0 Studio supports any model trained with v2.1 labeled data.
+ > * You can refer to the API migration guide for detailed information about migrating from v2.1 to v3.0.
+
+The following models are supported by Form Recognizer v2.1. Use the links in the table to learn more about each model and browse the API references.
+
+| Model| Description | Development options |
+|----------|--------------|-------------------------|
+|[**Layout API**](concept-layout.md) | Extraction and analysis of text, selection marks, tables, and bounding box coordinates, from forms and documents. | <ul><li>[**Form Recognizer labeling tool**](quickstarts/try-sample-label-tool.md#analyze-layout)</li><li>[**REST API**](quickstarts/get-started-sdk-rest-api.md#try-it-layout-model)</li><li>[**Client-library SDK**](quickstarts/try-sdk-rest-api.md)</li><li>[**Form Recognizer Docker container**](containers/form-recognizer-container-install-run.md?branch=main&tabs=layout#run-the-container-with-the-docker-compose-up-command)</li></ul>|
+|[**Custom model**](concept-custom.md) | Extraction and analysis of data from forms and documents specific to distinct business data and use cases.| <ul><li>[**Form Recognizer labeling tool**](quickstarts/try-sample-label-tool.md#train-a-custom-form-model)</li><li>[**REST API**](quickstarts/try-sdk-rest-api.md)</li><li>[**Client-library SDK**](how-to-guides/try-sdk-rest-api.md)</li><li>[**Form Recognizer Docker container**](containers/form-recognizer-container-install-run.md?tabs=custom#run-the-container-with-the-docker-compose-up-command)</li></ul>|
+|[**Invoice model**](concept-invoice.md) | Automated data processing and extraction of key information from sales invoices. | <ul><li>[**Form Recognizer labeling tool**](quickstarts/try-sample-label-tool.md#analyze-using-a-prebuilt-model)</li><li>[**REST API**](quickstarts/get-started-sdk-rest-api.md#try-it-prebuilt-model)</li><li>[**Client-library SDK**](quickstarts/try-sdk-rest-api.md)</li><li>[**Form Recognizer Docker container**](containers/form-recognizer-container-install-run.md?tabs=invoice#run-the-container-with-the-docker-compose-up-command)</li></ul>|
+|[**Receipt model**](concept-receipt.md) | Automated data processing and extraction of key information from sales receipts.| <ul><li>[**Form Recognizer labeling tool**](quickstarts/try-sample-label-tool.md#analyze-using-a-prebuilt-model)</li><li>[**REST API**](quickstarts/get-started-sdk-rest-api.md#try-it-prebuilt-model)</li><li>[**Client-library SDK**](how-to-guides/try-sdk-rest-api.md)</li><li>[**Form Recognizer Docker container**](containers/form-recognizer-container-install-run.md?tabs=receipt#run-the-container-with-the-docker-compose-up-command)</li></ul>|
+|[**ID document model**](concept-id-document.md) | Automated data processing and extraction of key information from US driver's licenses and international passports.| <ul><li>[**Form Recognizer labeling tool**](quickstarts/try-sample-label-tool.md#analyze-using-a-prebuilt-model)</li><li>[**REST API**](quickstarts/get-started-sdk-rest-api.md#try-it-prebuilt-model)</li><li>[**Client-library SDK**](how-to-guides/try-sdk-rest-api.md)</li><li>[**Form Recognizer Docker container**](containers/form-recognizer-container-install-run.md?tabs=id-document#run-the-container-with-the-docker-compose-up-command)</li></ul>|
+|[**Business card model**](concept-business-card.md) | Automated data processing and extraction of key information from business cards.| <ul><li>[**Form Recognizer labeling tool**](quickstarts/try-sample-label-tool.md#analyze-using-a-prebuilt-model)</li><li>[**REST API**](quickstarts/get-started-sdk-rest-api.md#try-it-prebuilt-model)</li><li>[**Client-library SDK**](how-to-guides/try-sdk-rest-api.md)</li><li>[**Form Recognizer Docker container**](containers/form-recognizer-container-install-run.md?tabs=business-card#run-the-container-with-the-docker-compose-up-command)</li></ul>|
+
+---
+
+## How to use Form Recognizer documentation
+
+This documentation contains the following article types:
+
+* [**Concepts**](concept-layout.md) provide in-depth explanations of the service functionality and features.
+* [**Quickstarts**](quickstarts/try-sdk-rest-api.md) are getting-started instructions to guide you through making requests to the service.
+* [**How-to guides**](how-to-guides/try-sdk-rest-api.md) contain instructions for using the service in more specific or customized ways.
+* [**Tutorials**](tutorial-ai-builder.md) are longer guides that show you how to use the service as a component in broader business solutions.
+
+## Data privacy and security
+
+ As with all the cognitive services, developers using the Form Recognizer service should be aware of Microsoft policies on customer data. See our [Data, privacy, and security for Form Recognizer](/legal/cognitive-services/form-recognizer/fr-data-privacy-security) page.
+
+## Next steps
+
+### [Form Recognizer v3.0](#tab/v3-0)
+
+> [!div class="checklist"]
+>
+> * Try our [**Form Recognizer Studio**](https://formrecognizer.appliedai.azure.com)
+> * Explore the [**REST API reference documentation**](https://westus.dev.cognitive.microsoft.com/docs/services/form-recognizer-api-2022-06-30-preview/operations/AnalyzeDocument) to learn more.
+> * If you're familiar with a previous version of the API, see the [**What's new**](./whats-new.md) article to learn of recent changes.
+
+### [Form Recognizer v2.1](#tab/v2-1)
+
+> [!div class="checklist"]
+>
+> * Try our [**Sample Labeling online tool**](https://aka.ms/fott-2.1-ga/)
+> * Follow our [**client library / REST API quickstart**](./quickstarts/try-sdk-rest-api.md) to get started extracting data from your documents. We recommend that you use the free service when you're learning the technology. Remember that the number of free pages is limited to 500 per month.
+> * Explore the [**REST API reference documentation**](https://westus.dev.cognitive.microsoft.com/docs/services/form-recognizer-api-v2-1/operations/AnalyzeWithCustomForm) to learn more.
+> * If you're familiar with a previous version of the API, see the [**What's new**](./whats-new.md) article to learn of recent changes.
+
+---