



The ElevenLabs v3 API delivers the most expressive text-to-speech model from ElevenLabs, generating natural speech that carries genuine emotion. Inline audio tags like [whispers], [laughs], and [excited] shape delivery and tone, while multi-speaker dialogue weaves several voices into one seamless conversation. Atlas Cloud serves it through a single OpenAI-compatible endpoint with transparent pay-as-you-go pricing and Day-0 access, ready to reach global audiences today.
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A modality-by-modality look at what the ElevenLabs v3 API takes in and the speech it hands back.
| Modality | Description |
|---|---|
| ElevenLabs v3 Text-to-Speech API (Text To Audio) | Convert up to 5,000 characters of text into studio-grade spoken audio, drawing from a library of 21 voices that includes Bella, Roger, Sarah, and Charlie. Multilingual voices speak every supported language, while a 0 to 1 stability control and optional ISO 639-1 language enforcement keep tone and pronunciation consistent from take to take. Reach for it when producing audiobooks, dubbing tracks, character voiceover, or conversational voice agents, all billed through transparent pay-as-you-go pricing. |
From inline audio tags and 21 castable voices to more than 70 languages and precise stability control, the ElevenLabs v3 API turns plain scripts into directed, studio-grade performances through one pay-as-you-go endpoint.
Shape delivery in real time by placing inline audio tags directly inside your script. The model reads bracketed cues for emotion such as [sad] and [excited], performance such as [whispers] and [shouts], and reactions such as [laughs] and [sighs]. You can combine several tags inside a single sentence, and the voice adjusts tone, pacing, and inflection with no re-recording. This turns flat copy into a directed performance for character work and expressive narration.

Cast any character from a library of 21 distinct voices, including Bella, Roger, Sarah, George, Callum, and Matilda. Each voice carries its own timbre and personality, and you select one per request through a single voice parameter. Because every voice is language-optimized, you can hold one identity across a whole project or switch speakers to build a full ensemble. It fits audiobooks, dubbing, and branded assistants that need a recognizable sound.

Need to reach a global audience? The model speaks more than 70 languages, from English and Mandarin to Hindi, Arabic, Spanish, French, German, and Japanese. Pass an ISO 639-1 language code to enforce pronunciation, and the same voice adapts its accent and delivery to each target tongue. One script becomes many localized versions, which is ideal for international launches, e-learning, and multilingual customer support.

Fine-tune how expressive or consistent a voice sounds with a single stability control that ranges from 0 to 1. Lower values unlock dramatic variation and emotional swing, while higher values lock in steady, predictable delivery across long sessions. Since the setting is a plain numeric parameter, you can tune it per request to match the mood of each scene. Documentary voiceover leans high, while animated characters thrive on the low end.
Generate up to 5,000 characters of studio-grade speech in one request, with optional text normalization that reads numbers, dates, and currency the way a person would. Delivery arrives through one OpenAI-compatible endpoint, billed pay-as-you-go at $0.10 per 1,000 characters with Day-0 access. Long passages render in a single pass, so podcasts, long-form narration, and video voiceovers stay coherent from open to close.
Feed a single expressive script to the ElevenLabs v3 API and two other Atlas Cloud speech models, then watch each spectrogram reveal how differently they handle emotion, pacing, and delivery.
[whisper] I wasn't going to say this tonight. [pause] I kept the letter in my pocket for three years, afraid of what it meant. [excited] But then I saw you standing there and everything just clicked, it finally made sense! [pause] [warm] So this is me, being brave for once. Thank you for waiting, and thank you for never letting go.
Generated with ElevenLabs v3 Text-to-Speech on Atlas Cloud
Generated with xAI TTS v1 on Atlas Cloud
[excited] Ladies and gentlemen, welcome to the final match of the season! [pause] Two champions, one arena, and a crowd holding its breath. [whisper] Listen... you can hear a pin drop. [pause] [dramatic] And then the buzzer sounds, the lights flood the court, and history begins to write itself right in front of you.
Generated with ElevenLabs v3 Text-to-Speech on Atlas Cloud
Generated with Seed Audio 1.0 on Atlas Cloud
Generated with xAI TTS v1 on Atlas Cloud
Teams reach for the ElevenLabs v3 API to narrate audiobooks, voice multi-character scenes, produce podcasts, drive conversational agents, localize across 70+ languages, and power accessibility tools, all through a single Atlas Cloud key.
Long-form storytelling holds its emotional delivery and pacing across entire chapters, with inline audio tags shaping whispers, sighs, and shifts in tone. Publishers and indie authors reach studio-grade audiobooks without booking a recording session.
Write scenes for multiple speakers and let the ElevenLabs v3 API handle turn-taking, interruptions, and overlapping voices in a single pass. Game studios and interactive fiction teams voice entire casts without hiring separate actors.
Podcast episodes, ad reads, and intros come straight from a script, carrying lifelike intonation and natural pauses that sound recorded rather than synthesized. Creators publish polished audio faster than any recording booth allows.
Need a voice agent that reacts with emotion rather than reading flatly? The ElevenLabs v3 API powers support lines and assistants with responsive, context-aware speech that adapts to every reply.
When one script must reach a global audience, generate it across 70+ languages while preserving the original emotion and intent. Localization teams ship multilingual courses, ads, and apps from a single source text.
Turn articles, documents, and product content into clear spoken audio through the ElevenLabs v3 API, with pronunciation and pacing that stay easy to follow. Accessibility-focused apps give readers a natural alternative to on-screen text.
See how the ElevenLabs v3 API measures up against other text-to-speech models on Atlas Cloud across pricing, language reach, cloning, and expressive control.
| Model | Provider | Price (per 1K characters) | Languages | Voice Cloning | Inline Audio Tags |
|---|---|---|---|---|---|
| ElevenLabs v3 Text-to-Speech | ElevenLabs | $0.10 | 70+ | √ | √ |
| Seed Audio 1.0 | ByteDance | $0.015 | Multilingual | √ | - |
| xAI TTS v1 | xAI | $0.015 | 20+ | - | √ |
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Combining the advanced ElevenLabs models with Atlas Cloud's GPU-accelerated platform provides unmatched performance, scalability, and developer experience.
Low Latency:
GPU-optimized inference for real-time reasoning.
Unified API:
Run ElevenLabs, GPT, Gemini, and DeepSeek with one integration.
Transparent Pricing:
Predictable per-token billing with serverless options.
Developer Experience:
SDKs, analytics, fine-tuning tools, and templates.
Reliability:
99.99% uptime, RBAC, and compliance-ready logging.
Security & Compliance:
SOC 2 Type II, HIPAA alignment, data sovereignty in US.
The ElevenLabs v3 API gives developers programmatic access to Eleven v3, the most expressive text-to-speech model from ElevenLabs. It turns written text into studio-grade, emotionally rich speech across 70+ languages, with inline audio tags for fine-grained control over tone and delivery. On Atlas Cloud it runs through one OpenAI-compatible key with transparent pay-as-you-go pricing.
Eleven v3 is built for emotional depth and contextual understanding rather than raw speed. It reads inline audio tags such as [whispers], [excited], and [sighs] to shape performance, and it handles multi-speaker dialogue that transitions naturally between characters. That focus makes it well suited to dramatic, character-driven narration where nuance matters more than millisecond latency.
Eleven v3 supports more than 70 languages, the broadest coverage of any ElevenLabs speech model. That span includes widely used languages such as English, Spanish, Mandarin Chinese, Hindi, Arabic, French, German, Japanese, and Korean. You can direct emotion and tone in each of them using the same audio tag syntax.
Audio tags are cues wrapped in square brackets and placed directly inside your text, which the model reads as performance instructions. They range from emotional direction like [excited] or [whispers] to non-verbal reactions such as [sighs], [laughs], and [clapping]. Drop them inline wherever the delivery should change, and the model adapts without any separate configuration.
Sign up, generate one API key, and point your request at the ElevenLabs v3 endpoint using the OpenAI-compatible format. You can rehearse prompts and audio tags in the in-browser playground before wiring the call into your product. Billing is pay-as-you-go, so you are charged only for the audio you actually generate. Start building today.
Yes. Alongside standard text-to-speech, v3 powers a Text to Dialogue capability that renders natural conversations between multiple speakers in a single pass. The endpoint manages speaker transitions, emotional shifts, and interruptions automatically, which suits audio drama, game scenes, and narrated conversation.
Eleven v3 accepts up to 5,000 characters in a single request, roughly five minutes of generated audio. When a script runs longer, split it into sequential requests and stitch the returned audio together. Keeping each request within the limit also helps you manage pacing and retries cleanly.
No. Eleven v3 prioritizes quality over speed, so it does not offer the real-time WebSocket streaming that ElevenLabs Flash provides. The heavier computation behind its emotional range adds latency, which makes it best for pre-rendered work like audiobooks, dubbing, and voiceovers rather than live voice agents.
Atlas Cloud prices the model on a transparent pay-as-you-go basis, so you are billed per call with no subscription or minimum commitment. Costs scale with the volume of audio you generate, which keeps small experiments cheap and larger workloads predictable. Start today.
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