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articles/applied-ai-services/form-recognizer/choose-model-feature.md

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## Next steps
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* [Learn how to process your own forms and documents](quickstarts/try-v3-form-recognizer-studio.md) with the [Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/studio)
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* [Learn how to process your own forms and documents](quickstarts/try-form-recognizer-studio.md) with the [Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/studio)

articles/applied-ai-services/form-recognizer/concept-accuracy-confidence.md

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## Next step
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> [!div class="nextstepaction"]
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> [Learn to create custom models ](quickstarts/try-v3-form-recognizer-studio.md#custom-models)
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> [Learn to create custom models ](quickstarts/try-form-recognizer-studio.md#custom-models)

articles/applied-ai-services/form-recognizer/concept-form-recognizer-studio.md

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**This article applies to:** ![Form Recognizer v3.0 checkmark](media/yes-icon.png) **Form Recognizer v3.0**.
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[Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/) is an online tool for visually exploring, understanding, and integrating features from the Form Recognizer service into your applications. Use the [Form Recognizer Studio quickstart](quickstarts/try-v3-form-recognizer-studio.md) to get started analyzing documents with pretrained models. Build custom template models and reference the models in your applications using the [Python SDK v3.0](quickstarts/get-started-sdks-rest-api.md?view=form-recog-3.0.0&preserve-view=true) and other quickstarts.
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[Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/) is an online tool for visually exploring, understanding, and integrating features from the Form Recognizer service into your applications. Use the [Form Recognizer Studio quickstart](quickstarts/try-form-recognizer-studio.md) to get started analyzing documents with pretrained models. Build custom template models and reference the models in your applications using the [Python SDK v3.0](quickstarts/get-started-sdks-rest-api.md?view=form-recog-3.0.0&preserve-view=true) and other quickstarts.
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The following image shows the Invoice prebuilt model feature at work.
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* Refer to our [**v3.0 REST API quickstarts**](quickstarts/get-started-sdks-rest-api.md?view=form-recog-3.0.0&preserve-view=true) to try the v3.0features using the new REST API.
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> [!div class="nextstepaction"]
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> [Form Recognizer Studio quickstart](quickstarts/try-v3-form-recognizer-studio.md)
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> [Form Recognizer Studio quickstart](quickstarts/try-form-recognizer-studio.md)

articles/applied-ai-services/form-recognizer/concept-layout.md

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::: moniker range="form-recog-3.0.0"
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* [Learn how to process your own forms and documents](quickstarts/try-v3-form-recognizer-studio.md) with the [Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/studio)
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* [Learn how to process your own forms and documents](quickstarts/try-form-recognizer-studio.md) with the [Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/studio)
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* Complete a [Form Recognizer quickstart](quickstarts/get-started-sdks-rest-api.md?view=form-recog-3.0.0&preserve-view=true) and get started creating a document processing app in the development language of your choice.
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articles/applied-ai-services/form-recognizer/faq.yml

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- question: |
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I'm building a custom model, what does the signature-detection label return?
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answer: |
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[Signature detection](quickstarts/try-v3-form-recognizer-studio.md#signature-detection) looks for the presence of a signature, not the identity of the person signing the document.
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[Signature detection](quickstarts/try-form-recognizer-studio.md#signature-detection) looks for the presence of a signature, not the identity of the person signing the document.
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If the model returns "unsigned" for signature detection, the model didn’t find a signature in the defined field.
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- Do your tables span across multiple pages? If so, to avoid having to label all of the pages, split the PDF into pages prior to sending it to Form Recognizer. Following the analysis, post-process the pages to a single table.
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- If you’re creating custom models, refer to [Labeling as tables](quickstarts/try-v3-form-recognizer-studio.md#labeling-as-tables). Dynamic tables have a variable number of rows for each given column. Fixed tables have a constant number of rows for each given column.
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- If you’re creating custom models, refer to [Labeling as tables](quickstarts/try-form-recognizer-studio.md#labeling-as-tables). Dynamic tables have a variable number of rows for each given column. Fixed tables have a constant number of rows for each given column.
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How can I move my trained models from one environment (like beta) to another (like production)?

articles/applied-ai-services/form-recognizer/how-to-guides/build-a-custom-classifier.md

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The Form Recognizer Studio provides and orchestrates all the API calls required to complete your dataset and train your model.
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1. Start by navigating to the [Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/studio). The first time you use the Studio, you need to [initialize your subscription, resource group, and resource](../quickstarts/try-v3-form-recognizer-studio.md). Then, follow the [prerequisites for custom projects](../quickstarts/try-v3-form-recognizer-studio.md#additional-prerequisites-for-custom-projects) to configure the Studio to access your training dataset.
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1. Start by navigating to the [Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/studio). The first time you use the Studio, you need to [initialize your subscription, resource group, and resource](../quickstarts/try-form-recognizer-studio.md). Then, follow the [prerequisites for custom projects](../quickstarts/try-form-recognizer-studio.md#additional-prerequisites-for-custom-projects) to configure the Studio to access your training dataset.
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1. In the Studio, select the **Custom classification model** tile, on the custom models section of the page and select the **Create a project** button.
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articles/applied-ai-services/form-recognizer/how-to-guides/build-a-custom-model.md

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The Form Recognizer Studio provides and orchestrates all the API calls required to complete your dataset and train your model.
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1. Start by navigating to the [Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/studio). The first time you use the Studio, you'll need to [initialize your subscription, resource group, and resource](../quickstarts/try-v3-form-recognizer-studio.md). Then, follow the [prerequisites for custom projects](../quickstarts/try-v3-form-recognizer-studio.md#additional-prerequisites-for-custom-projects) to configure the Studio to access your training dataset.
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1. Start by navigating to the [Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/studio). The first time you use the Studio, you'll need to [initialize your subscription, resource group, and resource](../quickstarts/try-form-recognizer-studio.md). Then, follow the [prerequisites for custom projects](../quickstarts/try-form-recognizer-studio.md#additional-prerequisites-for-custom-projects) to configure the Studio to access your training dataset.
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1. In the Studio, select the **Custom models** tile, on the custom models page and select the **Create a project** button.
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articles/applied-ai-services/form-recognizer/how-to-guides/compose-custom-models.md

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* Specific collection of values for a given set of fields (columns and/or rows)
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See [Form Recognizer Studio: labeling as tables](../quickstarts/try-v3-form-recognizer-studio.md#labeling-as-tables)
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See [Form Recognizer Studio: labeling as tables](../quickstarts/try-form-recognizer-studio.md#labeling-as-tables)
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### [REST API](#tab/rest)
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Try one of our Form Recognizer quickstarts:
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> [!div class="nextstepaction"]
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> [Form Recognizer Studio](../quickstarts/try-v3-form-recognizer-studio.md)
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> [Form Recognizer Studio](../quickstarts/try-form-recognizer-studio.md)
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> [!div class="nextstepaction"]
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> [REST API](../quickstarts/get-started-sdks-rest-api.md?view=form-recog-3.0.0&preserve-view=true)

articles/applied-ai-services/form-recognizer/index.yml

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- linkListType: quickstart
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- text: Form Recognizer Studio
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url: quickstarts/try-v3-form-recognizer-studio.md
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url: quickstarts/try-form-recognizer-studio.md
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- text: Form Recognizer SDK
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articles/applied-ai-services/form-recognizer/managed-identities-secured-access.md

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:::image type="content" source="media/managed-identities/cors-error.png" alt-text="Screenshot of error message when CORS config is required":::
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**Resolution**: [Configure CORS](quickstarts/try-v3-form-recognizer-studio.md#prerequisites-for-new-users).
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**Resolution**: [Configure CORS](quickstarts/try-form-recognizer-studio.md#prerequisites-for-new-users).
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* **AuthorizationFailure**:
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