Product Introduction

1. Eleven v3 (alpha) is an advanced text-to-speech (TTS) model currently in public alpha, designed to generate highly expressive and context-aware audio with dynamic emotional range. It supports over 70 languages, multi-speaker dialogue simulations, and inline audio tags such as [excited], [sighs], and [whispers] to control vocal delivery in real time. The model integrates immersive soundscapes and contextual awareness, enabling natural interruptions, emotional continuity, and lifelike interactions between multiple speakers. Its architecture is optimized for applications requiring nuanced vocal performances, including audiobooks, podcasts, and interactive voice assistants.
2. The core value of Eleven v3 lies in its ability to bridge the gap between synthetic and human speech by offering granular control over emotional tone, pacing, and speaker interactions. It eliminates robotic monotony through dynamic prosody adjustments and context-aware dialogue generation, making it ideal for creating engaging multimedia content. By supporting multilingual output and layered audio effects, it empowers global creators to produce localized, emotionally resonant content efficiently.

Main Features

1. Eleven v3 supports 70+ languages, including English, Portuguese, Chinese, and less common languages like Armenian, Assamese, and Luxembourgish, enabling global reach for diverse applications. The model adapts to regional accents and linguistic nuances, ensuring natural-sounding speech across all supported languages. This feature is particularly valuable for enterprises targeting multilingual audiences or creators producing content for international markets.
2. Multi-speaker dialogue generation allows seamless interactions between multiple voices with contextual awareness, emotional continuity, and natural interruptions. The model assigns unique vocal characteristics to each speaker and maintains consistent emotional tones during conversations. This is critical for audiobooks, podcasts, and conversational AI applications requiring realistic human-like exchanges.
3. Inline audio tags such as [laughing], [whispers], and [angry] enable real-time control over vocal delivery, sound effects, and emotional intensity. These tags adjust prosody, pitch, and pacing dynamically, allowing creators to layer effects like suspenseful pauses or excited shouts. Advanced users can combine tags for complex scenes, such as overlapping dialogue with background ambiance.

Problems Solved

1. Traditional TTS systems often produce robotic, monotonous output lacking emotional depth, which Eleven v3 addresses through dynamic emotional range and audio tags. The model eliminates unnatural pauses, inconsistent tone shifts, and contextually inappropriate delivery common in older systems. This ensures smoother integration into multimedia projects requiring lifelike narration or character dialogue.
2. The product targets content creators, developers, and enterprises needing scalable, multilingual voice solutions for audiobooks, e-learning modules, customer service bots, and gaming. It is also ideal for startups and indie developers seeking affordable, high-quality TTS without voice actor costs. Global teams benefit from its ability to generate localized content in 70+ languages with minimal setup.
3. Typical use cases include generating multi-character audiobook dialogues with distinct voices, creating customer support bots with empathetic tones, and producing interactive game NPCs with context-aware responses. Developers can also use it for prototyping voice-enabled apps or dubbing videos with synchronized emotional delivery.

Unique Advantages

1. Unlike competitors, Eleven v3 offers granular control over emotional delivery through audio tags while maintaining context awareness across multi-speaker scenarios. Most TTS models lack support for real-time vocal effect adjustments or fail to handle interruptions naturally. Eleven v3’s dialogue mode ensures speakers respond to each other’s emotional cues, creating cohesive conversations.
2. The model introduces audio event tags like [sighs] and [evil laugh], which trigger non-speech sounds or modify speech characteristics mid-sentence. This innovation allows creators to layer immersive soundscapes directly within the text input, reducing post-production editing. The alpha version also includes experimental features like automatic prosody matching between speakers.
3. Competitive advantages include an 80% discount for self-serve users during the alpha phase, making it cost-effective for small teams. The model’s multilingual support surpasses most alternatives, covering niche languages like Sindhi and Lingala. Early adopters gain access to continuous updates, including upcoming API integration and expanded audio tag libraries.

Frequently Asked Questions (FAQ)

1. How does the Eleven v3 80% discount work? The discount applies to all usage costs for Eleven v3 (alpha) through the platform’s UI until June 2025, with no coupon required. Self-serve users pay only 20% of standard rates, while enterprise clients must contact sales for custom pricing. This promotion aims to gather user feedback during the alpha testing phase.
2. How were the video and website samples generated? All demo audio was produced exclusively using Eleven v3 without post-processing or external tools. The model’s audio tags and dialogue mode handled effects like crowd noise, character laughter, and overlapping speech. This demonstrates its standalone capability to create complex audio scenes.
3. How does dialogue generation handle interruptions and emotional consistency? The Text to Dialogue feature assigns contextual memory to each speaker, allowing them to react to prior statements and maintain emotional continuity. It uses audio tags to trigger interruptions (e.g., [interrupts]) and adjusts vocal pitch dynamically to reflect shifts in mood. This ensures conversations flow naturally, mimicking human interaction patterns.
4. Is Eleven v3 available via API? A public API is under development and will launch after the alpha phase, though enterprises can request early access through sales. The current UI supports full functionality, including batch processing and multi-speaker exports. API documentation will include endpoints for audio tag customization and language selection.
5. What languages does Eleven v3 support? The model covers 70+ languages, including major ones like Spanish, French, and Arabic, alongside regional languages such as Nepali, Welsh, and Kyrgyz. Each language variant includes locale-specific pronunciation rules and emotional tone adjustments. Developers can switch languages mid-text using ISO codes (e.g., [lang:fra] for French).