ScriptSonic Text/Blog/Book Audio Converter using AWS Polly


🌟 Objective
Develop an automated system that converts text content stored in Amazon S3 into high-quality audio using Amazon Polly. Enhance content accessibility, user engagement, and broaden your audience reach.
📚 Scope and Use Cases
Accessibility: Provide audio versions for visually impaired or differently-abled users.
Education: Enable learners to listen to educational materials anytime.
Content Distribution: Expand reach of blogs, newsletters, and books via audio.
User Convenience: Cater to multitaskers who prefer audio while commuting or exercising.
🏗️ System Architecture
1️⃣ Amazon S3 (Source Bucket): Stores uploaded .txt
files.
2️⃣ Amazon S3 (Destination Bucket): Stores generated .mp3
audio files.
3️⃣ AWS Lambda: Triggered by S3 events to process text and call Amazon Polly.
4️⃣ Amazon Polly: Converts text to lifelike speech.
5️⃣ IAM Roles and Policies: Ensure secure permissions for Lambda to access S3 and Polly.
🛠️ Step-by-Step Implementation
1️⃣ AWS Account Setup
Create a free/paid AWS account.
Configure AWS CLI or console access for deployment.
2️⃣ Create Two S3 Buckets
Source Bucket:
pixel-source-bucket
(for.txt
uploads)Destination Bucket:
pixel-destination-bucket
(for.mp3
output)
3️⃣ Create IAM Policy
jsonCopyEdit{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"s3:GetObject",
"s3:PutObject"
],
"Resource": [
"arn:aws:s3:::pixel-source-bucket/*",
"arn:aws:s3:::pixel-destination-bucket/*"
]
},
{
"Effect": "Allow",
"Action": [
"polly:SynthesizeSpeech"
],
"Resource": "*"
}
]
}
✅ Name it amc-polly-lambda-policy
.
4️⃣ Create IAM Role
Role Name:
amc-polly-lambda-role
Attach Policies:
amc-polly-lambda-policy
AWSLambdaBasicExecutionRole
5️⃣ Create AWS Lambda Function
Function Name:
TextToSpeechFunction
Runtime: Python 3.8 (or higher)
Environment Variables:
SOURCE_BUCKET = pixel-source-bucket
DESTINATION_BUCKET = pixel-destination-bucket
6️⃣ Configure S3 Event Trigger
Event Type: Object Created (PUT)
File Filter:
.txt
Trigger Target:
TextToSpeechFunction
7️⃣ Lambda Function Code (Optimized for SEO)
pythonCopyEditimport boto3
import os
import logging
import json
logger = logging.getLogger()
logger.setLevel(logging.INFO)
def lambda_handler(event, context):
s3 = boto3.client('s3')
polly = boto3.client('polly')
source_bucket = os.environ['SOURCE_BUCKET']
destination_bucket = os.environ['DESTINATION_BUCKET']
text_file_key = event['Records'][0]['s3']['object']['key']
audio_key = text_file_key.replace('.txt', '.mp3')
try:
logger.info(f"Fetching text file: {text_file_key}")
text_file = s3.get_object(Bucket=source_bucket, Key=text_file_key)
text = text_file['Body'].read().decode('utf-8')
response = polly.synthesize_speech(
Text=text,
OutputFormat='mp3',
VoiceId='Joanna'
)
if 'AudioStream' in response:
temp_audio = '/tmp/audio.mp3'
with open(temp_audio, 'wb') as file:
file.write(response['AudioStream'].read())
s3.upload_file(temp_audio, destination_bucket, audio_key)
logger.info(f"Audio uploaded: {audio_key}")
return {'statusCode': 200, 'body': json.dumps('Success')}
except Exception as e:
logger.error(f"Conversion failed: {e}")
return {'statusCode': 500, 'body': json.dumps('Error')}
8️⃣ Testing
Upload
.txt
file topixel-source-bucket
.Lambda triggers automatically.
Polly converts text to
.mp3
.Audio available in
pixel-destination-bucket
.Download and test playback.
✅ Expected Outcomes
Fully automated text-to-speech conversion.
Support for blogs, newsletters, and book excerpts.
Instant audio availability for uploaded text.
Improved accessibility and user engagement.
🔮 Future Enhancements
Multi-language and voice support with Amazon Polly.
API Gateway integration for on-demand conversions.
Support for PDF/DOCX conversion to text.
Web or mobile UI for uploads and playback.
🌐 SEO Keywords for Better Reach
AWS Polly Text to Speech
Convert Text to Audio AWS
Blog to Audio Converter AWS
Amazon Polly Lambda Integration
AWS Serverless Text-to-Speech
Accessibility Solutions with AWS
Automated Audio Generation with AWS
💡 Conclusion
The ScriptSonic AWS project demonstrates how to build an automated text-to-audio converter using Amazon S3, AWS Lambda, and Amazon Polly. It’s a scalable, accessible, and serverless solution, perfect for content creators, educators, and developers.
📈 Want to explore more? Check out the complete code and setup on GitHub.
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