# OpenAI TTS Skill Text-to-speech conversion using OpenAI's TTS API for generating high-quality, natural-sounding audio from text. ## Installation ```bash pip install openai pydub # For audio processing (pydub dependency) # macOS brew install ffmpeg # Ubuntu/Debian sudo apt install ffmpeg ``` ## Setup Set your OpenAI API key: ```bash export OPENAI_API_KEY="sk-..." ``` ## Usage ### Command Line ```bash # Basic usage python openai_tts.py "Hello world" -o output.mp3 # From file python openai_tts.py -f article.txt -o article.mp3 # With voice selection python openai_tts.py "Your text" -o output.mp3 --voice nova # High quality python openai_tts.py "Your text" -o output.mp3 --model tts-1-hd # Adjust speed (0.25 to 4.0) python openai_tts.py "Your text" -o output.mp3 --speed 1.5 # Pipe input echo "Hello world" | python openai_tts.py -o output.mp3 # Verbose mode python openai_tts.py "Test" -o test.mp3 -v # List available voices python openai_tts.py --list-voices ``` ### As Module ```python from openai_tts import generate_tts # Basic generate_tts("Hello world", "output.mp3") # With options generate_tts( text="Your text here", output_path="output.mp3", voice="nova", model="tts-1-hd", response_format="mp3", speed=1.25, # 0.25 to 4.0 verbose=True ) ``` ## Voices | Voice | Type | Description | | -------- | ------- | ----------------------------- | | alloy | Neutral | Balanced, versatile | | echo | Male | Warm, conversational | | fable | Neutral | Expressive, storytelling | | **onyx** | Male | Deep, authoritative (default) | | nova | Female | Friendly, upbeat | | shimmer | Female | Clear, professional | ## Models | Model | Quality | Speed | Cost | | --------- | --------------- | ------ | --------------- | | **tts-1** | Standard | Fast | $0.015/1K chars | | tts-1-hd | High Definition | Slower | $0.030/1K chars | ## Features - **Auto-chunking**: Automatically splits text longer than 4096 characters - **Multiple formats**: mp3, opus, aac, flac - **6 voices**: Male and female options - **Pipe support**: Read from stdin ## Output Formats | Format | Description | | ------- | ------------------------------- | | **mp3** | Default, widely compatible | | opus | Smaller file size, good quality | | aac | Apple/iOS compatible | | flac | Lossless, larger files | ## License MIT