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articles/ai-services/document-intelligence/faq.yml

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Document Intelligence offers the latest development options within the following platforms:
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- [REST API](/rest/api/aiservices/document-models/analyze-document?view=rest-aiservices-2023-07-31 &preserve-view=true&tabs=HTTP)
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- [REST API](/rest/api/aiservices/document-models/analyze-document?view=rest-aiservices-2023-07-31&preserve-view=true&tabs=HTTP)
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- [Document Intelligence Studio](https://formrecognizer.appliedai.azure.com/studio)
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answer: |
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**Yes.**
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For `v4.0 11-30-2024 (GA)` custom neural models can be trained for free for a **maximum of 10 hours**. Whether you're training a single model for the 10 hours, or training multiple models for the total of 10 hours, you aren't charged for the first 10 hours. After using up the free 10 hours, you're **automatically charged by the extra training hour**. For details on the prices, refer to the [pricing page](https://azure.microsoft.com/pricing/details/ai-document-intelligence/). This new paid training feature enables training models for an extended duration to process larger documents. For more information on this paid training feature, check [custom neural model billing section](train/custom-neural.md#billing).
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For `v4.0 11-30-2024 (GA)` custom neural models can be trained for free for a **maximum of 10 hours**. Whether you're training a single model for the 10 hours, or training multiple models for the total of 10 hours, you aren't charged for the first 10 hours. After using up the free 10 hours, you're **automatically charged by the extra training hour**. For details on prices, refer to the [pricing page](https://azure.microsoft.com/pricing/details/ai-document-intelligence/). This new paid training feature enables training models for an extended duration to process larger documents. For more information on this paid training feature, check [custom neural model billing section](train/custom-neural.md#billing).
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For `v3.0 2022-08-31` or `v3.1 2023-07-31`, custom neural models can be trained for free for a maximum of 20 training sessions, with each session capped at 30 minutes of training duration. Once you use up all of the 20 training sessions, you can submit Azure support ticket to increase the training session limit. To increase the limit, two training sessions are considered as one training hour, and you're charged per two sessions / one training hour. For details on the prices, refer to the [pricing page]. For more information on ways to increase the limit, check [custom neural model billing section](train/custom-neural.md#billing). **For `v3.0` and `v3.1`, paid training feature is unavailable. Paid training feature for custom neural model is only available on `v4.0`.**
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For `v3.0 2022-08-31` or `v3.1 2023-07-31`, custom neural models can be trained for free for a maximum of 20 training sessions, with each session capped at 30 minutes of training duration. Once you use up all of the 20 training sessions, you can submit Azure support ticket to increase the training session limit. To increase the limit, two training sessions are considered as one training hour, and you're charged per two sessions / one training hour. For details on the prices, refer to the [pricing page](https://azure.microsoft.com/pricing/details/ai-document-intelligence/). For more information on ways to increase the limit, check [custom neural model billing section](train/custom-neural.md#billing). **For `v3.0` and `v3.1`, paid training feature is unavailable. Paid training feature for custom neural model is only available on `v4.0`.**
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articles/ai-services/document-intelligence/train/custom-neural.md

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# Document Intelligence custom neural model
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::: moniker range="doc-intel-4.0.0"
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**This content applies to:**![checkmark](../media/yes-icon.png) **v4.0 (GA)** | **Previous versions:** ![blue-checkmark](../media/blue-yes-icon.png) [**v3.1 (GA)**](?view=doc-intel-3.1.0&preserve-view=tru) ![blue-checkmark](../media/blue-yes-icon.png) [**v3.0 (GA)**](?view=doc-intel-3.0.0&preserve-view=tru)
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::: moniker-end
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Tabular fields are also useful when extracting repeating information within a document that isn't recognized as a table. For example, a repeating section of work experiences in a resume can be labeled and extracted as a tabular field.
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Tabular fields provide **table, row and cell confidence** with the ``**2024-11-30 (GA)**`` API:
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Tabular fields provide **table, row and cell confidence** with the `2024-11-30 (GA)` API:
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* Fixed or dynamic tables add confidence support for the following elements:
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* Table confidence, a measure of how accurately the entire table is recognized.

articles/ai-services/document-intelligence/whats-new.md

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Document Intelligence service is updated on an ongoing basis. Bookmark this page to stay up to date with release notes, feature enhancements, and our newest documentation.
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> [!IMPORTANT]
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> Preview API versions are retired once the GA API is released. The 2023-02-28-preview API version is being retired, if you're still using the preview API or the associated SDK versions, update your code to target the latest API version 2024-11-30 (GA). </br>
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> Preview API versions are retired once the GA API is released. The 2023-02-28-preview API version is retiring.If you're still using the preview API or the associated SDK versions, update your code to target the latest API version `2024-11-30 (GA)`. </br>
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## December 2024
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