✨ Add documentation for AWS Transcribe node (#537)

docs/nodes/credentials/AWS/README.md

@@ -15,6 +15,7 @@ You can use these credentials to authenticate the following nodes with AWS.
 - [AWS SNS](../../nodes-library/nodes/AWSSNS/README.md)
 - [AWS SNS Trigger](../../nodes-library/trigger-nodes/AWSSNSTrigger/README.md)
 - [AWS SQS](../../nodes-library/nodes/AWSSQS/README.md)
+- [AWS Transcribe](../../nodes-library/nodes/AWSTranscribe/README.md)
 
 ## Prerequisites
 

docs/nodes/nodes-library/nodes/AWSTranscribe/README.md

@@ -0,0 +1,66 @@
+---
+permalink: /nodes/n8n-nodes-base.awsTranscribe
+description: Learn how to use the AWS Transcribe node in n8n
+---
+
+# AWS Transcribe
+
+[AWS Transcribe](https://aws.amazon.com/transcribe/) is a service that recognizes speech in your audio or video and transcribes that speech into text.
+
+::: tip 🔑 Credentials
+You can find authentication information for this node [here](../../../credentials/AWS/README.md).
+:::
+
+## Basic Operations
+
+::: details Transcription Job
+- Create a transcription job
+- Delete a transcription job
+- Get a transcription job
+- Get all transcriptions job
+:::
+
+## Example Usage
+
+This workflow allows you to create transcription jobs for all your audio and video files stored in AWS S3. You can also find the [workflow](https://n8n.io/workflows/1111) on n8n.io. This example usage workflow uses the following nodes.
+- [Start](../../core-nodes/Start/README.md)
+- [AWS S3](../../nodes/AWSS3/README.md)
+- [AWS Transcribe]()
+
+The final workflow should look like the following image.
+
+![A workflow with the AMQP Sender node](./workflow.png)
+
+### 1. Start node
+
+The start node exists by default when you create a new workflow.
+
+### 2. AWS S3 node (getAll: file)
+
+This node will retrieve all the files from an S3 bucket you specify.
+
+1. First of all, you'll have to enter credentials for the AWS S3 node. You can find out how to do that [here](../../../credentials/AWS/README.md).
+2. Select 'Get All' from the ***Operation*** dropdown list.
+3. Enter the bucket name in the ***Bucket Name*** field.
+4. Toggle ***Return All*** to `true`. This option will return information on all the files stored in the S3 bucket.
+5. Click on ***Execute Node*** to run the node.
+
+In the screenshot below, you will notice that the node returns information of all the files stored in the bucket you specified.
+
+![Using the AWS S3 node to fetch information of files stored in a bucket](./AWSS3_node.png)
+
+### 3. AWS Transcribe node (create: transcriptionJob)
+
+This node will create a transcription job for the files that get returned by the previous node.
+::: v-pre
+1. Select the credentials that you entered in the previous node.
+2. Click on the gears icon next to the ***Job Name*** field and click on ***Add Expression***.
+3. Enter `{{$json["Key"].replace(/\s/g,'-')}}` in the ***Expression*** field. The code snippet fetches the name of the file and replaces the white-spaces with a hyphen (-).
+4. Click on the gears icon next to the ***Job Name*** field and click on ***Add Expression***.
+5. Enter `s3://{{$node["AWS S3"].parameter["bucketName"]}}/{{$json["Key"]}}` in the ***Expression*** field.
+6. Toggle ***Detect Language*** to `true`.
+7. Click on ***Execute Node*** to run the node.
+:::
+In the screenshot below, you will notice that the node creates a transcription job for the files stored in an S3 bucket.
+
+![Using the AWS Transcribe node to create a transcription job](./AWSTranscribe_node.png)