AWS text-to-speech service offering lifelike speech synthesis with neural and standard voices in dozens of languages.
Full ReviewA knowledge base and documentation platform for creating self-service help centers, API docs, and internal wikis.
Full ReviewAmazon Polly is a cloud service from AWS that converts text into lifelike speech using advanced deep learning technologies. It supports dozens of languages and voices, offers neural text-to-speech for natural-sounding output, and can generate speech in real time or store it as audio files. Document360 is a knowledge base and documentation platform that helps companies create, organize, and publish self-service help centers, product documentation, SOPs, and internal wikis with a powerful editor, version control, and analytics.
Connecting Amazon Polly and Document360 enables audio versions of your knowledge base articles, making your documentation accessible to a wider audience. Users who prefer listening over reading, people with visual impairments, or those who want to consume documentation while multitasking can benefit from having knowledge base content available as spoken audio. This integration brings accessibility and convenience to your documentation strategy.
For companies that invest heavily in their Document360 knowledge base, adding audio capability through Amazon Polly increases the value of existing content without requiring writers to record voiceovers manually. Every article update can automatically generate a fresh audio version, keeping spoken content in sync with written documentation.
Combining Amazon Polly's text-to-speech capabilities with Document360's documentation platform enables several features:
Amazon Polly and Document360 do not have a native integration. To connect them, you will need either a custom integration built on their APIs or a third-party automation platform. Amazon Polly is accessed through the AWS SDK or REST API, and Document360 provides a comprehensive API for reading and managing knowledge base content.
For automated workflows, Make is a strong choice because it supports both AWS services and HTTP-based API calls with good data transformation capabilities. Zapier can handle simpler workflows. n8n is ideal for self-hosted setups where you want full control over audio file processing and storage. For production-grade implementations, a custom AWS Lambda function that listens for Document360 webhooks and calls Amazon Polly is the most robust approach, especially since it keeps everything within the AWS ecosystem.
Here is a practical guide for setting up audio article generation from Document360 content using Amazon Polly.
In the AWS Management Console, create an IAM user or role with permissions for the Amazon Polly service. Generate access keys and note the AWS region where you want to run Polly. Test the setup by making a sample Polly API call to synthesize a short text string, confirming you receive an audio file in response.
In your Document360 project settings, generate an API key with read access to your knowledge base articles. Test the API by retrieving a sample article and reviewing the response format. Note how the article content is structured, as you will need to extract the plain text from the HTML content before sending it to Polly.
Create a workflow that retrieves an article from Document360, strips the HTML tags to produce clean plain text, and sends that text to Amazon Polly for speech synthesis. Polly accepts plain text or SSML (Speech Synthesis Markup Language) for more control over pronunciation, pauses, and emphasis. For documentation content, SSML can be useful for handling technical terms and code references.
Save the audio files generated by Polly to a storage service such as Amazon S3, and generate public or signed URLs for each file. Then update the corresponding Document360 article with an audio player link or embed, either through the API or by using a custom widget in your Document360 knowledge base template.
Set up a webhook or scheduled job that detects when Document360 articles are created or updated. When a change is detected, the workflow should regenerate the audio file for that article using Polly and update the stored audio file and any embedded links. This ensures audio versions never fall out of sync with written content.
These platforms can help you connect Amazon Polly and Document360 without writing code: