Amazon Transcribe is a fully managed, automatic speech recognition (ASR) service that makes it easy for developers to add speech to text capabilities to their applications. [AWS]
There are various other features as well. You can go through their website for more information about Amazon Transcribe features and use cases.
The only prerequisite is that you should have an AWS Account with sufficient permissions to access Transcribe and S3. You can use Transcribe from the AWS Console or through AWS SDKs available for multiple languages. For this demo, I'll be utilizing a Lambda function with the Python 3.10 runtime to call the Transcribe API.
Before creating the Lambda function, ensure you have an S3 bucket set up to store the media file you want to transcribe.
Create a test event with the following parameters:
{ "MediaFileUri": "s3://your-bucket-name/media-file.mp4" }
Deploy the Lambda function.
Execute the test event. You will receive a response similar to the following:
Navigate to the AWS Transcribe service in the AWS Management Console to verify and download the transcription output.
Create a test event with the following parameters:
{ "MediaFileUri": "s3://your-bucket-name/media-file.mp4" }
Deploy the Lambda function.
Execute the test event. You will receive a response similar to the following:
We have learned how to use Amazon Transcribe for generating transcription of media files.
We have setup two lambda functions for creating transcription job of a media file stored in S3 and downloading transcription.
Hope you have learned something new.
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