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articles/cognitive-services/Computer-vision/computer-vision-how-to-install-containers.md

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ms.service: cognitive-services
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ms.subservice: computer-vision
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ms.topic: conceptual
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ms.date: 11/21/2019
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ms.date: 03/10/2020
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ms.author: pafarley
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ms.custom: seodec18
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---

articles/cognitive-services/Speech-Service/speech-container-configuration.md

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ms.service: cognitive-services
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ms.subservice: speech-service
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ms.topic: conceptual
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ms.date: 11/07/2019
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ms.date: 03/09/2020
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ms.author: dapine
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---
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articles/cognitive-services/Speech-Service/speech-container-howto-on-premises.md

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ms.service: cognitive-services
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ms.subservice: speech-service
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ms.topic: conceptual
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ms.date: 11/04/2019
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ms.date: 03/09/2020
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ms.author: dapine
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---
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articles/cognitive-services/Speech-Service/speech-container-howto.md

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ms.service: cognitive-services
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ms.subservice: speech-service
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ms.topic: conceptual
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ms.date: 12/04/2019
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ms.date: 03/09/2020
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ms.author: dapine
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---
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| Function | Features | Latest |
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|--|--|--|
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| Speech-to-text | Transcribes continuous real-time speech or batch audio recordings into text with intermediate results. | 2.0.0 |
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| Custom Speech-to-text | Using a custom model from the [Custom Speech portal](https://speech.microsoft.com/customspeech), transcribes continuous real-time speech or batch audio recordings into text with intermediate results. | 2.0.0 |
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| Speech-to-text | Transcribes continuous real-time speech or batch audio recordings into text with intermediate results. | 2.1.1 |
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| Custom Speech-to-text | Using a custom model from the [Custom Speech portal](https://speech.microsoft.com/customspeech), transcribes continuous real-time speech or batch audio recordings into text with intermediate results. | 2.1.1 |
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| Text-to-speech | Converts text to natural-sounding speech with plain text input or Speech Synthesis Markup Language (SSML). | 1.3.0 |
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| Custom Text-to-speech | Using a custom model from the [Custom Voice portal](https://aka.ms/custom-voice-portal), converts text to natural-sounding speech with plain text input or Speech Synthesis Markup Language (SSML). | 1.3.0 |
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The following tag is an example of the format:
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```
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2.0.0-amd64-en-us-preview
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2.1.1-amd64-en-us-preview
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```
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For all of the supported locales of the **speech-to-text** container, please see [Speech-to-text image tags](../containers/container-image-tags.md#speech-to-text).

articles/cognitive-services/containers/container-image-tags.md

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articles/cognitive-services/containers/docker-compose-recipe.md

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ms.custom: seodec18
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ms.service: cognitive-services
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ms.topic: conceptual
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ms.date: 01/23/2020
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ms.date: 03/10/2020
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ms.author: dapine
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#As a potential customer, I want to know how to configure containers so I can reuse them.
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This article shows you how to deploy multiple Azure Cognitive Services containers. Specifically, you'll learn how to use Docker Compose to orchestrate multiple Docker container images.
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> [Docker Compose](https://docs.docker.com/compose/) is a tool for defining and running multi-container Docker applications. In Compose, you use a YAML file to configure your applications services. Then, you create and start all the services from your configuration by running a single command.
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> [Docker Compose](https://docs.docker.com/compose/) is a tool for defining and running multi-container Docker applications. In Compose, you use a YAML file to configure your application's services. Then, you create and start all the services from your configuration by running a single command.
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It can be useful to orchestrate multiple container images on a single host computer. In this article, we'll pull together the Recognize Text and Form Recognizer containers.
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It can be useful to orchestrate multiple container images on a single host computer. In this article, we'll pull together the Read and Form Recognizer containers.
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## Prerequisites
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- "5010:5000"
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ocr:
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image: "containerpreview.azurecr.io/microsoft/cognitive-services-recognize-text"
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image: "containerpreview.azurecr.io/microsoft/cognitive-services-read"
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environment:
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eula: accept
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apikey: # < Your recognize text API key >
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billing: # < Your recognize text billing URL >
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apikey: # < Your computer API key >
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billing: # < Your computer vision billing URL >
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ports:
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```
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A Docker Compose file enables the management of all the stages in a defined service's life cycle: starting, stopping, and rebuilding services; viewing the service status; and log streaming. Open a command-line interface from the project directory (where the docker-compose.yaml file is located).
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> [!NOTE]
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> To avoid errors, make sure that the host machine correctly shares drives with Docker Engine. For example, if E:\publicpreview is used as a directory in the docker-compose.yaml file, share drive E with Docker.
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> To avoid errors, make sure that the host machine correctly shares drives with Docker Engine. For example, if *E:\publicpreview* is used as a directory in the *docker-compose.yaml* file, share drive **E** with Docker.
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From the command-line interface, execute the following command to start (or restart) all the services defined in the docker-compose.yaml file:
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From the command-line interface, execute the following command to start (or restart) all the services defined in the *docker-compose.yaml* file:
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```console
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docker-compose up
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ef41dcbc5857: Pull complete
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Pulling ocr (containerpreview.azurecr.io/microsoft/cognitive-services-recognize-text:)...
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latest: Pulling from microsoft/cognitive-services-recognize-text
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Pulling ocr (containerpreview.azurecr.io/microsoft/cognitive-services-read:)...
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latest: Pulling from microsoft/cognitive-services-read
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```
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IMAGE ID REPOSITORY TAG
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2ce533f88e80 containerpreview.azurecr.io/microsoft/cognitive-services-form-recognizer latest
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4be104c126c5 containerpreview.azurecr.io/microsoft/cognitive-services-recognize-text latest
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4be104c126c5 containerpreview.azurecr.io/microsoft/cognitive-services-read latest
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```
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### Test the Recognize Text container
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### Test containers
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Open a browser on the host machine and go to **localhost** by using the specified port from the docker-compose.yaml file, such as http://localhost:5021/swagger/index.html. You can use the "Try It" feature in the API to test the Recognize Text endpoint.
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![Recognize Text container](media/recognize-text-swagger-page.png)
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### Test the Form Recognizer container
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Open a browser on the host machine and go to **localhost** by using the specified port from the docker-compose.yaml file, such as http://localhost:5010/swagger/index.html. You can use the "Try It" feature in the API to test the Form Recognizer endpoint.
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Open a browser on the host machine and go to **localhost** by using the specified port from the *docker-compose.yaml* file, such as http://localhost:5021/swagger/index.html. For example, you could use the **Try It** feature in the API to test the Form Recognizer endpoint. Both containers swagger pages should be available and testable.
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![Form Recognizer Container](media/form-recognizer-swagger-page.png)
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articles/cognitive-services/containers/includes/cognitive-services-container-images.md

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description: Two tables representing the container registries, repositories and image names for all Cognitive Service offerings.
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ms.service: cognitive-services
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ms.topic: include
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ms.date: 01/10/2020
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ms.date: 03/09/2020
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ms.author: dapine
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