Unlike larger TTS models, GPT-4o-mini-tts balances performance and efficiency, enabling responsive, engaging voice output even in environments with limited compute resources.
- Voice App Developers: Integrate responsive speech into chatbots, IVR systems, or AI companions.
- Customer Support Teams: Enable realistic voice interfaces for help desks and support workflows.
- Educators & E-learning Creators: Bring lessons to life with engaging, real-time voice narration.
- Accessibility Tool Builders: Offer real-time audio support for visually impaired users.
- Game & AR/VR Developers: Add real-time, low-latency voice to immersive environments.
- IoT & Smart Device Makers: Power voice interfaces in smart home products or wearables.
🛠️ How to Use GPT-4o-mini-tts?
- Step 1: Access the OpenAI API: Use the /v1/audio/speech endpoint with GPT-4o-mini as your selected model.
- Step 2: Input Your Text: Provide the message you'd like to convert to speech. Keep it under 4096 characters per request.
- Step 3: Choose Your Voice: Select from high-quality voices like nova, shimmer, or echo depending on your tone and use case.
- Step 4: Play or Store the Audio: Receive an audio file (MPEG or WAV) for immediate playback or storage in your app.
- Step 5: Optimize for Real-Time: Leverage the model’s speed for live conversations or latency-sensitive environments.
- Optimized for Real-Time Use: Designed for minimal latency while maintaining natural-sounding speech.
- Efficient & Lightweight: Suitable for low-resource environments or apps requiring quick response.
- Part of GPT-4o Ecosystem: Seamless integration with OpenAI’s multimodal GPT-4o models.
- Multiple High-Quality Voices: Choose from diverse voice options that suit different tones and contexts.
- Scalable & Fast: Efficient enough to power enterprise-scale voice deployments or lightweight mobile use.
- Text-to-Speech for Everyone: Great entry point for developers new to TTS or with performance constraints.
- Super Low Latency: Ideal for interactive and real-time applications.
- Natural Sounding Voices: Delivers clarity and expressiveness at a compact model size.
- Easily Integrates with GPT-4o: Enables full voice-based multimodal applications.
- Flexible Deployment: Great fit for mobile, desktop, or web apps with speech needs.
- Developer-Friendly API: Simple endpoint and straightforward parameters make it easy to adopt.
- Less Expressive Than TTS-1-HD: Lacks the emotional range and nuance of larger TTS models.
- Limited Voice Options: Fewer voices compared to premium TTS offerings.
- Output May Sound Robotic at Times: In certain edge cases, tone can be a bit flat.
- Not Ideal for Long Narratives: Best suited for short, responsive voice interactions.
- Voice Calls Still Use Tokens: Every call consumes API credits depending on length and voice used.
API only
$0.60/$12.00 per 1M tokens
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