→ So manually copying from a large amount of document files can be a long or erroneous process. When calling the API please call the v2. What API version was the model built with in Form Recognizer Studio? If it is one of the preview API versions, then you need to use the DocumentAnalysisClient which was added in the beta SDK versions, such as 3. You can create either resource using the. With the Form Recognizer Studio, you can now explore all Form Recognizer capabilities with sample documents or validate results on your documents. On the Form Recognizer overview page, click on the "Create" button to start the. Azure AI Document Intelligence An Azure service that turns documents into usable data. Create a project in the Document Intelligence Studio. Form Recognizer offers a collection of pre-built endpoints for extracting data from invoices, documents, receipts, ID cards, and business cards. Form Recognizer Client Class. These training files can be created and labeled through Form Recognizer Studio, see more information about how to create your training dataset in Building a training dataset. I hope this helps. When Creating a Project in FRS (Form Recognizer Studio): Give the Project a Name and Description. cs form files outside of visual studio and then adding the existing file. Full series information: info here: on Microsoft Learn:-. . Form Recognizer provides a JSON output, we do not yet provide a CSV output. The Form Recognizer Studio makes it easy to label and train custom models, and with support for over 100 languages, it's a versatile tool for businesses worldwide. We had already trained the model and created a composed model, but currently, we are facing the issue, it gives the 500. This is done to speed up development and again the point is to provide an overview on the technology not an. About; Products For Teams; Stack Overflow Public questions & answers;We would like to show you a description here but the site won’t allow us. You have learned how to perform a benchmark on your custom data with Forms Recognizer as well as how to train a custom model leveraging Forms. Once the model has completed training, it is immediately published and available to consume as a REST API endpoint. Once I train the model it only identifies the line items from page 1, it does not consider any line item. Unfortunately as mentioned before, it’s not possible to export the image with the Bounding Boxes directly from Form Recognizer Studio in order to see the results our model got. Use the Azure Document Intelligence Studio min. Please sign in to rate this answer. Previously known as Azure Form Recognizer. Get started with the W-2 model today: Learn more about the W-2 model; The getting started experience walks you through using the W-2 model in the Form Recognizer Studio. Step 1. 1 labeled data. The first one is an image scan from a paper form, which you can see from the scanned text. With the new contract prebuilt model, you can now extract the common fields from any contract with a simple. Form Recognizer Studio is an online tool to try the features of Form Recognizer service and integrate it into your applications. Option 1: Azure Portal. Use the Create a project command to start the new project configuration wizard. Form Recognizer can be used with the REST API as well as the Python, C#, Java, and JavaScript SDKs. As I said, I created the custom models in the default directory. Azure AI services or Document Intelligence resource. Analyze a form. This is part of the steps mentioned for creation of automation flow in the form-recognizer logic apps documentation. This comes up with three types of APIs: Layout API — Detects and extracts text and layout of documents, such as tables, checkboxes and objects. Provide the storage account and container containing the forms data which you will like to label It's not clear if you want to use the SDK to retrieve semantic document fields or raw JSON text, so I'll share a sample for both. Access document fieldsThe Form Recognizer Studio is available to develop Custom Models for specific document types and Composed Models to combine multiple Custom Models. Click the Create button. As I said I am new to Azure, so I have no idea what to. --. Note tables output is included in all parts of the Form Recognizer service – prebuilt, layout and custom in the JSON output pageResults. The analyze form skill enables you to use a pretrained model or a custom model to identify and extract key value pairs, entities and tables. I have uploaded 5 documents and created label data that consists of a number of. You need to enable JavaScript to run this app. Cant find Form Recognizer Custom Model id. answered Feb 17, 2020 at 9:48. However, he is unable to create an new project in the Form Recognizer studio. I created a custom model in the Form Recognizer Studio. Then, click on Review + create. Part 1: Create a custom template model in Azure Form Recognizer. To get started create a Form Recognizer resource in the Azure Portal and try out your tables in the Form Recognizer Sample Tool. Azure AI Document Intelligence An Azure service that turns documents into usable data. Pre-built API — These are pre-trained models for common scenarios such as IDs, receipts. It ingests text from forms and documents. I tried to read PDF doc using azure form recognizer and used azure databricks for converting it to dataframe following are the detailed steps. Option 1: Azure Portal. When you create or open a project, the main tag editor window opens. Form Recognizer Studio simplifies the use of the service, enabling testing pre-built models, testing pre-trained models, and building and testing custom models. fott file. Azure AI Document Intelligence. Content is a string containing the full text of the input document, so your loop is iterating over the char's of the document, not the recognized documents or their fields. Worked fine. Setting up Azure Form Recognizer resource. Configure service resources by selecting the resource group and form recognizer service that was created during resource deployment. For instance, a loan application form. But I get the same issue. 背景. Custom Form. Does form recognizer learn from usage over the time. However, the model id generated isnt the usual with alphanumeric but just the name. You need to enable JavaScript to run this app. For testing, I made a project with a few documents, then I train them using neural model. This will get the File content that we will pass into the Form Recognizer. Form Recognizer extracts key value pairs and tables from documents and includes the following options: Customised Field Extraction – Document Intelligence learns the structure of your documents (invoices, contracts, statements, industry specific records) to intelligently extract fields, text and data. Hi, We are evaluating the Form Recognizer Studio. if you want to use the new form recogniser studio you can follow that approach i suggested with tasks and upgrade later. I'm following instructions from here. You can get started by exploring the pretrained models with sample or your own documents. Extraction. In the labelling process, Form Recognizer Studio allows me to label my variables by selecting pre-detected text on my uploaded picture. You can merge as many as 100 custom-built models to. Change to an S0 paid resource if you want to analyze all pages in a document. Start with prebuilt models or create custom models tailored. Description - Optional - Project description; Label your forms. Apply AI Document Intelligence anywhere, in the cloud or at the edge. Document Intelligence Studio - Microsoft Azure. But I get the same issue. The Azure Form Recognizer SDK for Python provides helper methods like to_dict and from_dict on the models to facilitate converting the data type in the library to and from a dictionary. The studio will help you experiment different Form Recognizer models and check what is the data it return. I was looking for the "202" response, meaning that the request was accepted and it would be worked on. In terms of Vision related services, we have two Applied AI Services, Form Recognizer and Video Analyzer. Select the Custom Extraction Model from the bottom of the list of options . ->Browse required Invoice pdf file and click analyze after. It then outputs structured data that includes the relationships in the original file. This should be the link to the settings page or you can simply choose the settings icon from top right hand corner. Getting started with your connector. Document Intelligence Studio - Microsoft Azure. 0. The field results outputs to the console just how I want them to. Create a project in the Document Intelligence Studio. Each build mode specifies a different machine-learning algorithm. Adding Labels Manually. Quickstart: Form Recognizer Studio. Elongating wait_sec of time. This module teaches you how to use the Azure Document Intelligence Azure AI service. Kindly check this once the Share Project Permission - In the Form Recognizer Studio, the owner needs to explicitly share the project with Azure AD identity of member for Sharing the project will grant you access to work on the project and generate a token. I've setup CORS on the storage account as follows:Extract values and line items from invoices with Form Recognizer. 0 in Power Automate, it will probably require making requests directly to the Form Recognizer API using the HTTP connector. Unsupervised learning allows the model to understand the layout and field data without. 4. Try the new barcode extraction in the Form Recognizer Studio. Is there a method to copy the field names (and type) from one document model to another? Our case is where different vendors have versions of government mandated form. Start by navigating to the Document Intelligence Studio. Document - Extract text, selection marks, tables, entities, and general key-value pairs from. Azure Form Recognizer Studio: Custom Classification Models - Training Failing I've been experimenting with the Form Recognizer Studio's Custom Classification Models. Form Recognizer 2021-09-30-preview. Click the textbox and select the Path property. 1 API when you connect your form recognizer resource by adding the endpoint URL and keys. Previously known as Azure Form Recognizer. We don't have the sharing feature for now but product group is working on it. Add this topic to your repo. Double-check that the model ID you are using in your Python code matches the ID of. Luckily, there is a workaround until we have this feature in the studio - Users can’t share the Form Recognizer projects they create from the Studio. HI @romungi-MSFT . This is one method for uploading files. If you are looking something like this please visit this document to know. I uploaded 5 sample invoices and Labeled them. While other computer vision models can capture text, Form Recognizer also captures the structure of the text, such as key/value pairs and information. To better understand the situation, are you using the Prebuilt Invoice model in Azure Form Recognizer Studio or creating a custom model? Have you tried out setting field subtype: currency in FR Studio Custom Model as shown here?. Maui Rivera 0 • Microsoft Employee. You need to enable JavaScript to run this app. Export the Trained Model: In the Azure Form Recognizer studio in the development environment, locate your trained custom extraction model. If you can point us in the right direction with some documentation on this, then it would be beneficial. 2022-09-01T16:46:58. Form Recognizer Error: Check if you have unexpired read/write/list/delete permission to blob container/blob. 0. Start with the SDK QuickStarts for code samples in C#, Python, JavaScript, and Java. zip), depending on your selection during training. I am able to add an existing form to a project and see the code and the visual form itself. Extract tables, check boxes, and text from forms and documents. Search for the Form Recognizer service in the search pane. Get started with the. Extract text, tables, structure, key-value pairs, and named entities from documents. The important thing here is to choose the table type (fixed sized or row dynamic). within form recognizer studio we can use consume prebuilt models to create models to use or generate custom model with labelling. 0 version. Setup Azure; Start using Form Recognizer Studio; Conclusion; In this article, Let’s use Azure Form Recognizer, latest AI-OCR tool developed by Microsoft to extract items from receipt. Extract text automatically from forms, structured or unstructured documents, and text-based images at scale with AI and OCR using Azure’s Form Recognizer ser. Improve this answer. Locally, I am going to use a pre built model provided by Azure. Form Recognizer doesn't require any further deployment steps. I tried with exact same training data on Form Recognizer Studio (3. 5. Chapters 00:00 - AI Show 00:15 - Welcome and Introductions 00:44 - What is Form Recognizer 03:29 -. Integrate Form Recognizer capabilities into your apps using pre-trained or custom models Quickstart: Document Translation. . Next, we need to use the form recognizer client for recognizing a receipt URL. Learn more. All 1000+ models copied to production service. Enter a username and password for the user. It includes the following main features: Layout - Extract content and structure (ex. Sorted by: 1. As the service expands, the REST API has been redesigned for improved usability, the migration guide will help you transition to the new API. 0. py extension. To get started create a Form Recognizer resource in the Azure Portal and try out your tables in the Form Recognizer Sample Tool. Learn the most in-demand business, tech and creative skills from industry experts. You will learn how to: Provision a Form Recognizer resource. Document Intelligence Studio query field extraction is currently available with the general document model starting with the 2023-07-31 (GA) API and later releases. words, selection marks, tables) from documents. It is one of the Applied AI services and Cognitive Services which uses Optical Character Recognition (OCR) and Machine Learning (ML) technology to identify and extract key/value pairs and table data from form documents using prebuilt models or create your custom models. The query fields are one example of a new set of features that the Form Recognizer API now supports. FormTrainingClient is the Form Recognizer interface to use for creating and managing custom models. There is also a set of computer vision models and importantly, for our purposes, Form Recognizer. I want to transfer my form recognizer custom model project from my account to another user account using Python. Generally, if the layout table extracts the result you need, you can skip the labeling process. Where resource group, storage account, and form recognizer instance will remain the same. You need to enable JavaScript to run this app. Include the model ID or custom model name in the Form Recognizer request URL, depending on the API version. Azure AI services contains a broad set of capabilities including text analytics; facial detection, speech and vision recognition; natural language understanding, and more. Share. You need to enable JavaScript to run this app. 0-beta. Currently, that UI functionality isn't available. Click the Create button. com and your modelId respectively. Document Intelligence Studio is an online tool for visually exploring, understanding, and integrating features from the Document Intelligence service in your. I have a list of field names that I want to train a custom model on, but in the form recognizer studio I need to manually type the field names then do the annotation, Is there a way to upload a list of labels in the form recognizer studio. Stack Overflow. Unfortunately, the auto-label table functionality in Form Recognizer currently only supports single-page tables. 1. Document Intelligence Studio - Microsoft Azure. json for the tags, whereas FOTT (v2. Extract printed and handwritten text along with barcodes, formulas and font styles from images and documents. OCR for Russian example . Select query fields For query field extraction, specify the fields you want to extract and Document Intelligence analyzes the document accordingly. The latest generally available Azure Form Recognizer prebuilt models and languages with our friend Vinod Kurpad!Chapters:0:00 Livestream begins00:15 Welcome. Form Recognizer analyzes your forms and documents, extracts text and data, maps field relationships as. Form Recognizer Studio has an option to share and import custom created models. Let me check with product team to see when they will release this feature to Studio and I will let you know. You can access the Recognize Text feature as either an Azure resource (the REST API or SDK) or a cognitive-services-recognize-text container. We have used Form Recognizer Studio (API version 2022-06-30-preview) to build and train a model successfully. Next, you will discover how to detect key-value pairs in images. 0b5. However, the document/field/values for the table are all Null. Form Recognizer Studio . Please note though that the Form Recognizer Power Automate connector does not yet support the new preview release and supports only the 2. @Mike Wong Are the models created using the form recognizer studio successfully created? That is, the status of these models under the models tab of your project in the form recognizer studio should be succeeded. You can also directly use the open source labeling tool, please see the section further down in the doc: The OCR Form Labeling Tool is also available as an open-source project on GitHub. 1 Answer. One of my Team member who has the reader access to the resource group where Form Recognizer Resource and the Blob Storage Account Resource are created. In the Studio you can find the models IDs within the projects in the Model tab. Could you please help us to understand what level of access/role is needed to create a project in. Source is the Form Recognizer app which currently holds the model. Introduction to Azure Form Recognizer. Some documents like engineering drawings require a higher resolution input to accurately. Follow these steps to create a new Form Recognizer instance: In the Azure Portal, click on the "+ Create a resource" button in the top left corner. In the first part, you will be introduced to the Form Recognizer's features and train a custom model for extracting key-value pairs from customer service review forms. It includes the following options: Layout - Extracts text and table structure from documents using optical character recognition (OCR). “. formula – Detect formulas in documents, such as mathematical equations. It should have such format: API Key - Your Form Recognizer subscription key. Pre-built API — These are pre-trained models for common scenarios such as. A single file containing one document. Create a project in the Form Recognizer Studio. To do that, we'll type the following comment sentence: # user form recognizer client to recognize image from myReceiptUrl . Open Form Recognizer Studio. The following screenshot from. The W-2 model can handle the different variations in formats to accurately extract the form fields from each document. So an Azure account. One benefit of using Form Recognizer is the ability to create your own custom model based on documents specific to your business needs. Form Recognizer API (v2. Lotti - Gruppo Finservice @HoucemMEZHOUDI-8102Select the Azure Form Recognizer Studio permission. @Garth You should be able to view the list of directories in your form recognizer studio settings page and then select the new directory name and resource that is created in this directory. It was working fine last week and then after the weekend break, I cannot get a single model to train correctly. Form Recognizer Studio. Create Custom Model Project . So suggested to use the python code using the container created as the input folder. 0 Studio (preview) for a better experience and model quality, and to keep up with the latest features. Conclusion: Azure Form Recognizer’s deep-learning-based universal models support many languages that can extract multi-lingual text from images and documents, including text lines with mixed languages. To try out these new features in the Python client library, run the following command to install the library: pip install azure-ai-formrecognizer --pre. . It is the interface to use for analyzing with prebuilt models (receipts, business cards, invoices, identity documents), recognizing content/layout from forms, and analyzing custom forms from trained models. Form Recognizer Studio home page. It provides methods for training models on the forms you provide, as well as methods for viewing and deleting models, accessing account properties, copying models to another Form Recognizer resource, and composing models from a collection. It uses Natural Language Processing (NLP) to detect and extract information from forms and documents supported by AI to. Even with the misspelling of the word "User" instead of "Use", Copilot still understands the intend and generates two suggestions. Pages: Custom page numbers for multi-page documents(PDF/TIFF). Azure Form Recognizer is built using Optical Character Recognition (OCR), Text Analytics and Custom Text from Azure Cognitive Services and has custom trained models for things like vaccination cards, passports and tax. This blog post will demonstrate how Azure Form Recognizer client library can be used to eliminate manual tasks for end user when completing web forms. Add On Features. Unable to create a new project in the "Form Recognizer Studio", all. 1 Preview! Form Recognizer is a Cognitive Service that lets you ide. it is very similar experience with tagging/labelling in AI builder as discussed earlier. Azure AI Document Intelligence An Azure service that turns documents into usable data. 0 has issue with built in connection. Behind Azure Form Recognizer is actually Azure Cognitive Services like Computer Vision Read API. Followed the link provided and. This key ingredient is a series of pretrained machine learning models that cover a variety of areas, from text analytics to speech translation. On the custom model, is there a way to train the model directly through an API (without form recognizer studio) ? Thanks for the answer ; Azure AI Document Intelligence. Analyze document with W-2 prebuilt modelWe moved the models from QA to Production using StartModelCopyTo method using Form Recognizer client SDK. WriteLine ($" Table {i} has {table. The model worked fine last week but it failed all of a sudden this week. Form Recognizer Studio "Failed to access Form Recognizer" Mei Yang 1 Reputation point • Microsoft Employee 2022-12-02T20:34:29. Regards, Vasavi-Please kindly accept the answer if you feel helpful to support the community, thanks. The free tier is fine; Click Review + create and then Create (Create an Azure Form Recognizer) When the Form Recognizer is created, we need to copy its connection details. Enter project details, select the Azure subscription and resource,. Recognize forms at the edge, on-premises, and in the cloud with container support in Azure AI Services. Is there any option to add the labels in the form recognizer studio automatically. Knowledge check min. It ingests text from forms, applies machine learning technology to identify keys, tables, and fields,. Compose two custom template models together into a single model. Invoice Automation is a key component for accounts payable processes. Prajwal Ainapur 11. Once you have composed these models, it doesn't. Start with prebuilt models or create custom models tailored. Once I train the model it only identifies the line items from page 1, it does not consider any line. Azure AI Document Intelligence formerly known as Form Recognizer now has a new set of capabilities generally available!Documents are core to any business process, from Intelligent Document Processing (IDP) solutions like invoice processing to knowledge extraction like tax filing, financial reporting and audits. It extracts the data with some. Below is an example of how you can create a Form Recognizer resource using the CLI: PowerShell. Option 2: Azure CLIAzure Form Recognizer is a cloud-based Azure Applied AI Service that uses machine-learning models to extract key-value pairs, text, and tables from your docu. It ingests text from forms and outputs structured data that includes the relationships in the original file. it is very similar experience with tagging/labelling in AI builder as discussed earlier. FYI, you can use a pre-built model or train a custom model specific to your needs and use cases. To resolve this issue, you can try to install the Azure Form Recognizer module by running the following command in your terminal: pip install azure-ai-formrecognizer==3. This will ensure the relevant service team to check what could be causing this from the backend. The following code snippet uses the Python SDK to show. 1 and the API version "2023_02_28_preview". This module gives users the tools to use the Azure Document Intelligence vision API. Regarding using Form Recognizer 3. The tool applies tags in bounding. It could also be used in integrated solutions for optimizing the auditing needs. Document Intelligence Studio - Microsoft Azure. Form Recognizer’s Layout and Custom template model capabilities also support the same languages. You can convert the JSON into a CSV file as a post process step. Compose two custom template models together into a single model. Following is a sample code on converting the invoice output into CSV file you can enhance it to output also the tables and more. Document - Analyze key-value pairs in. within form recognizer studio we can use consume prebuilt models to create models to use or generate custom model with labelling. NOTE: Please use a Canadian Driver's Licence if the applicant has one. Please refer to the API migration guide to learn more about the new API to better support the long-term product roadmap. Performance is slow whether I OCR a Passport using a Card ID trained model or OCR a Card ID using a Card ID trained model. Paragraphs. Forms" and "using System. – Mohamed Azarudeen Z. The query fields are one example of a new set of features that the Form Recognizer API now supports. OCR for Russian example . For example: "invoice# 1", "invoice# 2" and so on. I wanted to get this token. For more information, see Azure Form Recognizer add-on capabilities. Form Recognizer extracts information from forms and images into structured data. You need to enable JavaScript to run this app. I hope you're looking for something similar. wait_sec is changed from 25s to 1000s. For Form Recognizer access only, create a Form Recognizer resource. The Studio runs each of the documents through the Layout API. I then created the other (Air-Scribe) directory. In the form recognizer studio, I can double-click the composed model and I can see all the component models. 1. The model worked fine last week but it failed all of a sudden this week. docker) or a TensorFlow SavedModel (. Thank you in advance for your time and support. Hi @Abhijeet Pratap Singh . Get Directionsprovided on the consent form. Create a new resource group. We need to create multipl pojects with the same kind of fileds. This is exactly what I'm. 0. Select a Resource Group; Pick a Region; Fill in a Name; Select a Pricing Tier. Browse for a file and select a file from the sample dataset that you unzipped in the test folder. Navigate to the Form Recognizer Studio: FormRecognizerStudio (azure. Another method is to directly upload files from the form recognizer studio by selecting the browse for a file option. Azure Form Recognizer Python SDK : API calls are successful but the values for key-value pairs are empty (Nonetype) As mentioned above, I created a custom model using form-recognizer studio and calling it with python via SDK. Jan 2, 2023, 2:24 AM. Step 2: Download the trained model from Azure Form Recognizer. Applications for Form Recognizer service can extend beyond just assisting with data entry. Document Intelligence Studio - Microsoft Azure. Once you have your Azure subscription, create a single-service or multi-service resource, in the Azure portal to get. By taking advantage of custom. - GitHub - microsoft/Form-Recognizer-Toolkit: Form Recognizer To. To confirm which models could be missing you can use the REST API for all the versions and check the count of all. But it's now trying to use the air-scribe directory for form recognizer studio. Form Recognizer は、カスタム モデル、あらかじめ構築されたレシート モデル、Layout API から成ります。 REST API を使用して Form Recognizer モデルを呼び出すことにより、複雑さを軽減し、自分のワークフローやアプリケーションに統合すること. The model worked fine last week but it failed all of a sudden this week. Form Recognizer Logic App is currently using Form Recognizer v1. If you have not created the destination app create it and before going to the next steps. After login with my . And also is there roadmap to add just free text files . You can use google collab or any local IDE to compile the code. cognitiveservices. 4). "); foreach. Start with prebuilt models or create custom models tailored. This service maps each piece of extracted data to a field as a key-value pair. ①： Upload receipt images or pdfs that you want to extract items from. As mentioned above, I created a custom model using form-recognizer studio and calling it with python via SDK. I created a. ocr. Click on the Train icon on the left hand menu and click Train. It's important to note that you can only compose models of the same type. Document Intelligence Studio - Microsoft Azure. Before training a custom Form Recognizer model, it is important to have a labeled or annotated data set, also known as the ground truth. You can extract information from a W-2 model with 3 simple steps: For other types of documents, you can train a Form Recognizer custom model to extract the. txt to form recognizer? I haven't completely understood your question could you please add more details on this. So neural models can only be composed with neural models and template models vice versa. PDF などの帳票はあちこちに溜まっていますが、構造化データ化がされない事もあります。 それを Azure Logic App + Azure Form Recognizer で JSON 文字列のファイルにします。Did the repro happen when Form Recognizer Studio was used? (I think it's YES, just double confirm)Or was the customer using their own code to train the model? Have the customer to check their blob and check all of the *. I am calling the Form Recognizer API through the Cognitive Services . In Form Recognizer Studio, the 'Numbers' in front of the tags in the Custom model menu are keyboard shortcuts that allow you to quickly select a tag for a specific field without having to manually choose/search from the dropdown list of the labels. 0. 2. Part 1: Create a. Prebuilt models for business cards and invoices. If you're experiencing issues with a missing menu button on Power Automate for converting JSON downloaded from Form Recognizer Studio to Excel, there are alternative methods you can try to accomplish the task. The v3. Azure Form Recognizer is a cloud-based Azure Applied AI Service that uses machine-learning models to extract key-value pairs, text, and tables from your documents. # Create a new resource group to hold the Form Recognizer resource - # if using an existing resource group, skip this step az group create --name my-resource-group --location westus2. In Form Recognizer Studio, select the top right gear button (Settings), choose the Resources tab and check the Price Tier you're using to analyze the documents. In general though you could train a form recognizer model from the labeling tool use the predict API and download the JSON results. Build intelligent document processing apps using Azure AI services. Create a new custom model: In the Form Recognizer studio, create a. It seems you want to share models created in FR studio with other users. You can create either resource using: Option 1: Azure Portal. ③： Analyze receipt and. When Creating a Project in FRS (Form Recognizer Studio): Give the Project a Name and Description; Access by -- either Resource or API Endpoint and Key (here is where the problem is) If User clicks API Endpoint and Key radio button; The following agreement/wording is part of this form:Go to the Form Recognizer resource created in the azure portal, get the Form recognizer service endpoint and API key present in the Keys and Endpoint tab. Instead, you have to use specialized tools – I find Visual Studio quite good at this job, but the choice is very broad.