I built a pipeline to automatically convert blog posts into audio using OpenAI's TTS API. The implementation handles chunking long articles (due to the 4096 character limit), generates separate audio files for each chunk, then combines them into a single MP3.
Key features:
- Scrapes and processes blog content for TTS conversion
- Handles OpenAI's character limits with intelligent text chunking
- Combines multiple audio files into one seamless track
- Supports different voice options (alloy, echo, fable, etc.)
Cost is surprisingly reasonable: converted 14 blog posts for $4.20 total ($0.30 per post).
The post includes complete code examples and walks through the entire process from text extraction to final audio output. Great for adding accessibility features or creating audio versions of written content.
Tech stack: Python, OpenAI TTS API, pydub for audio processing.
I built a pipeline to automatically convert blog posts into audio using OpenAI's TTS API. The implementation handles chunking long articles (due to the 4096 character limit), generates separate audio files for each chunk, then combines them into a single MP3.
Key features:
- Scrapes and processes blog content for TTS conversion - Handles OpenAI's character limits with intelligent text chunking - Combines multiple audio files into one seamless track - Supports different voice options (alloy, echo, fable, etc.)
Cost is surprisingly reasonable: converted 14 blog posts for $4.20 total ($0.30 per post).
The post includes complete code examples and walks through the entire process from text extraction to final audio output. Great for adding accessibility features or creating audio versions of written content.
Tech stack: Python, OpenAI TTS API, pydub for audio processing.