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articles/ai-services/document-intelligence/studio-overview.md

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@@ -143,51 +143,6 @@ Use the help wizard, labeling interface, training step, and interactive visualiz
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With Document Intelligence, you can quickly automate your data processing in applications and workflows, easily enhance data-driven strategies, and skillfully enrich document search capabilities.
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#### Analyze options
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* Document Intelligence supports sophisticated analysis capabilities. The Studio allows one entry point (Analyze options button) for configuring the add-on capabilities with ease.
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* Depending on the document extraction scenario, configure the analysis range, document page range, optional detection, and premium detection features.
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:::image type="content" source="media/studio/analyze-options.png" alt-text="Screenshot of the analyze-options dialog window.":::
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> [!NOTE]
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> Font extraction is not visualized in Document Intelligence Studio. However, you can check the styles section of the JSON output for the font detection results.
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#### Auto label documents with prebuilt models or one of your own models
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* In custom extraction model labeling page, you can now auto label your documents using one of Document Intelligent Service prebuilt models or your trained models.
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:::image type="content" source="media/studio/auto-label.gif" alt-text="Animated screenshot showing auto labeling in Studio.":::
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* For some documents, duplicate labels after running autolabel are possible. Make sure to modify the labels so that there are no duplicate labels in the labeling page afterwards.
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:::image type="content" source="media/studio/duplicate-labels.png" alt-text="Screenshot showing duplicate label warning after auto labeling.":::
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#### Auto label tables
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* In custom extraction model labeling page, you can now auto label the tables in the document without having to label the tables manually.
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:::image type="content" source="media/studio/auto-table-label.gif" alt-text="Animated screenshot showing auto table labeling in Studio.":::
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#### Add test files directly to your training dataset
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* Once you train a custom extraction model, make use of the test page to improve your model quality by uploading test documents to training dataset if needed.
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* If a low confidence score is returned for some labels, make sure to correctly label your content. If not, add them to the training dataset and relabel to improve the model quality.
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:::image type="content" source="media/studio/add-from-test.gif" alt-text="Animated screenshot showing how to add test files to training dataset.":::
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#### Make use of the document list options and filters in custom projects
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* Use the custom extraction model labeling page to navigate through your training documents with ease by making use of the search, filter, and sort by feature.
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* Utilize the grid view to preview documents or use the list view to scroll through the documents more easily.
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:::image type="content" source="media/studio/document-options.png" alt-text="Screenshot of document list view options and filters.":::
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#### Project sharing
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Share custom extraction projects with ease. For more information, see [Project sharing with custom models](how-to-guides/project-share-custom-models.md).
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### Troubleshooting
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