aws-solutions-constructs.aws-lambda-transcribe 2.96.0

CDK constructs for defining an interaction between an AWS Lambda function and Amazon Transcribe with S3 buckets.

aws-lambda-transcribe module

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Reference Documentation:	https://docs.aws.amazon.com/solutions/latest/constructs/

Language	Package
Python	aws_solutions_constructs.aws_lambda_transcribe
Typescript	@aws-solutions-constructs/aws-lambda-transcribe
Java	software.amazon.awsconstructs.services.lambdatranscribe

Overview

This AWS Solutions Construct implements an AWS Lambda function connected to Amazon S3 buckets for use with Amazon Transcribe.

Here is a minimal deployable pattern definition:

Typescript

import { Construct } from 'constructs';
import { Stack, StackProps } from 'aws-cdk-lib';
import { LambdaToTranscribe } from '@aws-solutions-constructs/aws-lambda-transcribe';
import * as lambda from 'aws-cdk-lib/aws-lambda';

new LambdaToTranscribe(this, 'LambdaToTranscribePattern', {
    lambdaFunctionProps: {
        runtime: lambda.Runtime.NODEJS_22_X,
        handler: 'index.handler',
        code: lambda.Code.fromAsset(`lambda`)
    }
});

Python

from aws_solutions_constructs.aws_lambda_transcribe import LambdaToTranscribe
from aws_cdk import (
    aws_lambda as _lambda,
    Stack
)
from constructs import Construct

LambdaToTranscribe(self, 'LambdaToTranscribePattern',
        lambda_function_props=_lambda.FunctionProps(
            code=_lambda.Code.from_asset('lambda'),
            runtime=_lambda.Runtime.PYTHON_3_11,
            handler='index.handler'
        )
        )

Java

import software.constructs.Construct;

import software.amazon.awscdk.Stack;
import software.amazon.awscdk.StackProps;
import software.amazon.awscdk.services.lambda.*;
import software.amazon.awscdk.services.lambda.Runtime;
import software.amazon.awsconstructs.services.lambdatranscribe.*;

new LambdaToTranscribe(this, "LambdaToTranscribePattern", new LambdaToTranscribeProps.Builder()
        .lambdaFunctionProps(new FunctionProps.Builder()
                .runtime(Runtime.NODEJS_22_X)
                .code(Code.fromAsset("lambda"))
                .handler("index.handler")
                .build())
        .build());

Pattern Construct Props

Name	Type	Description
existingLambdaObj?	lambda.Function	Existing instance of Lambda Function object, providing both this and lambdaFunctionProps will cause an error.
lambdaFunctionProps?	lambda.FunctionProps	Optional user provided props to override the default props for the Lambda function.
existingSourceBucketObj?	s3.IBucket	Existing instance of S3 Bucket object for source audio files.
sourceBucketProps?	s3.BucketProps	Optional user provided props to override the default props for the source S3 Bucket.
existingDestinationBucketObj?	s3.IBucket	Existing instance of S3 Bucket object for transcription results.
destinationBucketProps?	s3.BucketProps	Optional user provided props to override the default props for the destination S3 Bucket.
useSameBucket?	boolean	Whether to use the same S3 bucket for both source and destination files. Default: false

Pattern Properties

Name	Type	Description
lambdaFunction	lambda.Function	Returns an instance of the Lambda function created by the pattern.
sourceBucket?	s3.Bucket	Returns an instance of the source S3 bucket created by the pattern.
destinationBucket?	s3.Bucket	Returns an instance of the destination S3 bucket created by the pattern.

Default settings

Out of the box implementation of the Construct without any override will set the following defaults:

AWS Lambda Function

• Configure limited privilege access IAM role for Lambda function

• Enable reusing connections with Keep-Alive for NodeJs Lambda function

• Enable X-Ray Tracing

• Set Environment Variables

  • SOURCE_BUCKET_NAME
  • DESTINATION_BUCKET_NAME
  • AWS_NODEJS_CONNECTION_REUSE_ENABLED (for Node 10.x and higher functions)

• Grant permissions to use Amazon Transcribe service, write to source bucket, and read from destination bucket

Amazon S3 Buckets

• Configure Access logging for both S3 Buckets
• Enable server-side encryption for both S3 Buckets using AWS managed KMS Key
• Enforce encryption of data in transit
• Turn on the versioning for both S3 Buckets
• Don't allow public access for both S3 Buckets
• Retain the S3 Buckets when deleting the CloudFormation stack

Amazon Transcribe Service

• The Transcribe service will have read access to the source bucket and write permissions to the destination bucket
• Lambda function will have permissions to start transcription jobs, get job status, and list transcription jobs

Architecture

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