> ## Documentation Index > Fetch the complete documentation index at: https://docs.interactly.ai/llms.txt > Use this file to discover all available pages before exploring further. # ElevenLabs TTS Configuration Guide > Optimize your ElevenLabs text-to-speech settings for the best performance and quality ## Overview ElevenLabs offers several TTS models optimized for different use cases. This guide will help you choose the right model and configure it properly for your needs. ## Available TTS Models Ultra-low latency for real-time applications Balanced quality and speed English-only, low latency English-only, balanced performance ### Flash v2.5 **Best for:** Real-time applications requiring ultra-low latency **Use cases:** * Agents Platform * Interactive applications * Games requiring immediate response * Large-scale processing **Key benefits:** * \~75ms latency * 32 languages supported * 40,000 character limit * 50% lower price per character Numbers aren't normalized by default. Consider using the `apply_text_normalization` parameter (Enterprise only) or have your LLM normalize text beforehand. #### Understanding Text Normalization Text normalization converts text into a format that sounds more natural when spoken aloud. Without it, certain elements can be mispronounced or sound unnatural. **Input:** `123-456-7890` **Without normalization:** "one hundred twenty-three dash four hundred fifty-six dash seven thousand eight hundred ninety" **With normalization:** "one two three, four five six, seven eight nine zero" **Input:** `2024-01-01` **Without normalization:** "two thousand twenty-four dash zero one dash zero one" **With normalization:** "January first, two thousand twenty-four" **Input:** `14:30` **Without normalization:** "fourteen colon thirty" **With normalization:** "two thirty PM" **Model-specific normalization handling:** * **Multilingual v2:** Better at automatic normalization * **Flash v2.5/Turbo v2.5:** Numbers aren't normalized by default for speed * **Enterprise users:** Can enable `apply_text_normalization` parameter for v2.5 models For best results with Flash models, preprocess your text using LLM prompts or regular expressions to normalize these elements before sending to TTS. ### Turbo v2.5 **Best for:** Balanced quality and speed applications **Use cases:** When you need higher quality than Flash but can accept slightly higher latency (\~250-300ms) **Key benefits:** * High quality voice generation * 32 languages supported * 40,000 character limit * 50% lower price per character **Ideal when:** You want Flash v2.5 use cases but prioritize quality over maximum speed ### Flash v2 **Best for:** English-only real-time applications **Use cases:** * Agents Platform (English only) * Interactive English applications **Key benefits:** * \~75ms latency * 30,000 character limit **Limitation:** English only ### Turbo v2 **Best for:** English-only balanced quality and speed **Use cases:** High-quality English voice generation with low latency **Key benefits:** * \~250-300ms latency * 30,000 character limit **Limitation:** English only ## Voice Settings ### Speaker Boost Speaker Boost enhances similarity to the original speaker, making the generated voice sound more like the source voice used for cloning. **Trade-offs:** * ✅ **Benefits:** Increased similarity to the original speaker * ❌ **Costs:** Higher computational load, increased latency * 📊 **Impact:** Generally produces subtle differences **When to use:** * Maximum similarity to the original voice is required * Latency is not a critical concern * Working with voices where subtle improvements are noticeable * High-quality, non-real-time applications **When to avoid:** * Real-time applications (like Agents Platform) * Using Flash models for low-latency needs * Computational cost outweighs the subtle benefits ### Stability Controls the consistency and emotional variability of the voice generation. ### Similarity Determines how closely the AI adheres to the original voice. ### Style Exaggeration Amplifies the speaking style of the original voice. ### Seed The seed value controls variations that ElevenLabs can generate for a single utterance, ranging from `0` to `4294967295`. According to ElevenLabs documentation: "If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same seed and parameters should return the same result. Determinism is not guaranteed." With many possible variations for the same utterance, there's always a chance that some variations may sound unnatural. ## Recommended Settings ### Model Selection * ✅ **Use v2.5 models** over v2 for multilingual support and higher character limits * ⚡ **Choose Flash** for maximum speed (with slightly reduced quality) * 🎯 **Choose Turbo** for better quality with acceptable latency * 📝 Text normalization is not needed for v2 models; v2.5 models may need this option enabled ### Voice Settings Configuration **Recommendation:** Disabled by default Enable only if similarity isn't sufficient and you can accept the latency increase. *Applies to all models* **Recommendation:** Start around `50` This provides a balanced middle ground for consistency. *Applies to all models* **Recommendation:** Start around `75` Suitable for most use cases to balance quality and performance. *Applies to all models* **Recommendation:** Keep at `0` most of the time Only increase if you need amplified speaking style. *Applies to all models* **Recommendation:** Use with caution Be aware that with many variations possible, some may sound unnatural. *Applies to all models* Refer to ElevenLabs' official documentation for the latest updates and best practices. Refer to the [ElevenLabs Voices](./voices#text-to-speech-tts-vendors) page for details on selecting voices.