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ElevenLabs Explained: Features, Pricing, API, Voice Cloning & Complete Guide (2026)

3 August 2026  ·  Updated 3 August 2026

Gabriel Caetano

Gabriel Caetano

ARTIFICIAL INTELIGENCE

ElevenLabs Explained: Features, Pricing, API, Voice Cloning & Complete Guide (2026)

Learn everything about ElevenLabs, from AI text-to-speech and voice cloning to conversational AI agents, APIs, pricing, multilingual support, and enterprise features in this complete 2026 guide.

elevenlabs-explained

1. Company Overview & History: How ElevenLabs Was Founded

Founding Story and Name Etymology

ElevenLabs was founded in 2022 by Mati Staniszewski (CEO) and Piotr Dąbkowski (CTO), two childhood friends from Poland who went on to work at Palantir and Google respectively. The company was founded by CEO Staniszewski and CTO Piotr Dąbkowski in 2022. The two set out to solve a specific frustration: badly dubbed foreign films that stripped emotion out of the original performance.

The "Eleven" name signals a research-lab culture, a nod to turning audio "up to eleven." The company began by developing a truly human-like AI text-to-speech model, and early viral demos of cloned, expressive voices generated enormous online attention that pulled in both users and investors.

Mission and Core Vision

ElevenLabs frames its mission around making content universally accessible across every language and voice. What started as a research curiosity quickly became a commercial platform serving creators and enterprises. ElevenLabs generates revenue primarily through its AI voice platform, which is used by 41% of Fortune 500 companies, a sign of how fast the shift from novelty to infrastructure has happened.

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2. The Two Core Product Platforms: ElevenCreative vs. ElevenAgents

ElevenCreative: AI Audio for Content Makers

ElevenCreative bundles the tools that made ElevenLabs famous. The company's platform spans text-to-speech, speech-to-text (Scribe), voice cloning (Instant and Professional), voice design, dubbing, music generation, and real-time conversational AI agents. The creative suite targets solo creators, publishers, studios, and enterprises, and is available through a web app, mobile app, and browser access points.

ElevenAgents: Conversational AI Infrastructure

ElevenAgents is the infrastructure side of the business: voice AI agents built for real-time, low-latency conversations. It targets developers, customer-experience teams, and enterprises that want to replace rigid phone menus with natural dialogue. The key distinction is timing. Creative is asynchronous audio you generate and download, while Agents is live, two-way conversation happening in the moment. The company is doubling down on ElevenAgents and conversational voice models to transform how we interact with technology.

3. ElevenLabs Text-to-Speech: Realism, Range, and Multilingual Power

What Makes ElevenLabs TTS Stand Out

The core appeal of ElevenLabs text to speech is realism. Its models capture prosody, pacing, and emotion in a way that older engines from Google, Amazon Polly, or basic OpenAI TTS often flatten. Beyond straight text-to-speech, the platform also offers speech-to-speech transformation, letting you record a performance and map it onto a different voice while keeping the delivery intact.

Multilingual Voice Generation

ElevenLabs supports dozens of languages, and its flagship model has expanded that reach dramatically. The Eleven v3 version adds more expressive options, additional controls, and support for over 70 languages. The bigger differentiator is cross-lingual voice consistency. Its ability to maintain voice consistency across languages gives it a unique advantage as companies seek to globalize their communications.

Key Capabilities at a Glance

The v3 model introduced a control system that reads directly from the script. A defining feature of Eleven v3 is its support for inline audio tags, which allow users to direct the vocal performance by inserting descriptive prompts such as [excited], [whispers], [sighs], or [laughing] directly into the script. It also handles technical text far better than earlier versions. The model incorporates substantial improvements in text normalization, resulting in a significantly reduced error rate when vocalizing specialized notation like chemical formulas, phone numbers, and mathematical expressions. That makes it well suited to long-form audiobooks, full-episode podcasts, and pronunciation-sensitive brand or technical content.

4. AI Models & Technology Stack: From Turbo to Eleven v3

Model Lineup Overview

ElevenLabs segments its models along a single trade-off: speed versus expressiveness. Real-time agents need ultra-low latency, while studio content prioritises quality even if it takes longer to generate. Here is how the main models compare.

Model

Latency profile

Languages

Best use case

Eleven v3

Higher (offline)

70+

Audiobooks, character voice, cinematic narration

Turbo v2.5

Low

Multilingual

Balanced speed and quality

Flash v2.5

Ultra-low

Multilingual

Real-time conversational agents

Multilingual v2

Standard

Multilingual

Voiceovers, localisation, dubbing

Scribe v2

Sub-150 ms (realtime)

90+ / 99

Speech-to-text transcription

Eleven v3: The Flagship Quality Model

Eleven v3, marketed as Eleven v3 (alpha), is a third-generation text-to-speech model that ElevenLabs released in public alpha on June 5, 2025 and described as "the most expressive Text to Speech model ever." The trade-off is processing time. Because its higher-fidelity output trades away the low-latency profile of the older Flash and Turbo families, ElevenLabs positions Eleven v3 for offline workloads such as audiobooks, character voice acting, and cinematic narration rather than live agent calls.

Flash & Turbo Models: Speed-First Variants

For anything conversational, ElevenLabs points users to its faster models. For real-time and conversational use cases, ElevenLabs recommends staying with v2.5 Turbo or Flash. Flash is built for near-instant responses, while Turbo balances speed with better quality. Latency matters here because a live voice agent that pauses too long feels broken, so shaving milliseconds off response time is the difference between natural and awkward.

Multilingual v2

Multilingual v2 remains a workhorse for localisation. Multilingual v2 is ElevenLabs' most life-like, emotionally rich model, and it's best for voiceovers, audiobooks, and content creation. Its strength is preserving the same voice identity across different languages, which is exactly what enterprise localisation and dubbing pipelines need.

5. Voice Cloning & the ElevenLabs Voice Library

Instant and Professional Voice Cloning

ElevenLabs offers two cloning paths. Instant Voice Clone produces a usable voice from a short sample almost immediately. Professional Voice Cloning takes longer and needs more training data but delivers higher fidelity. ElevenLabs recommends uploading around 2 hours of clear, high-quality recordings containing only your voice, with consistent tone and no background noise, music, or effects. Consent is central to the system. Before creating a voice clone and sharing it, each user must pass a Voice Captcha verification by reading a text prompt within a specific timeframe to confirm their voice matches the training samples uploaded for cloning.

The Voice Library and Creator Marketplace

The Voice Library is a marketplace where the community can share Professional Voice Clones and earn rewards when others use them, and currently only Professional Voice Clones can be shared. The catalogue has grown into a large, searchable directory of community and licensed voices. On the licensed-IP side, ElevenLabs has partnered with celebrity estates and living talent. To gain voice rights, the company partnered with CMG Worldwide, which manages estates of both living and deceased celebrities, to formalize licensing infrastructure. Michael Caine, Matthew McConaughey, Liza Minnelli, and Dr. Maya Angelou are among the licensed celebrity voices, spanning brand partnerships, multilingual translation, entertainment, and educational content.

Revenue Sharing for Voice Creators

The payout model is usage-based rather than a one-off fee. The system tracks usage by character count, and for every 1,000 characters generated with your voice, you earn a fixed fee, with a default rate of around $0.03 per 1,000 characters. The scale is substantial. In November 2025, voice creators on the ElevenLabs Voice Library had earned $11 million; six months later that number doubled to over $22 million, with 10,400+ creators now earning on the platform, spanning dozens of languages. This ongoing royalty approach is a genuine differentiator versus purely closed-model competitors.

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6. Conversational AI Agents: ElevenAgents in Depth

What Conversational AI Agents Do

A conversational AI agent is very different from a text chatbot. It listens, reasons, and speaks back in real time, combining several models into one pipeline: speech-to-text (Scribe), an LLM for reasoning, and text-to-speech for the reply. ElevenAgents supports omnichannel deployment across a web widget, phone via SIP and PSTN, mobile SDKs, and messaging channels, so the same agent can answer a website chat or a phone call.

Latency, Languages, and Live Performance

Live performance is where the speed-first models earn their keep. Flash models target sub-100 ms response times, and the transcription layer keeps pace too. Scribe v2 Realtime uses ElevenLabs' streaming-first architecture to turn live speech to text instantly across 90+ languages, capturing live speech in under 150 ms with exceptional accuracy, built for agents, meetings, and AI Agents that demand instant understanding. Combined with realistic interruption handling and turn-taking, agents can hold conversations across dozens of languages without feeling scripted.

Enterprise and Developer Configuration

ElevenAgents supports both no-code and API-first builds. Teams can configure an agent visually or drop into code for full control, injecting a knowledge base, enabling tool calling, and connecting a custom LLM. Real-world deployments show the scale. In January 2026, Revolut deployed ElevenLabs Agents for customer support across the UK and Europe covering 4M+ customers, reducing time-to-resolution by 8x across 30+ languages. In February 2026, Klarna launched an ElevenLabs voice AI agent as first-line phone support for 35M U.S. customers, reporting up to 10x faster resolutions.

7. Music, Sound Effects, and Expanding Audio Capabilities

Eleven Music: AI-Generated Music

ElevenLabs has moved beyond voice into full music generation. Its community has created 14 million songs with Eleven Music, and the tool is aimed at background music for video, podcasts, and games. The company has extended its creator-payout model here too. The Music Marketplace gives artists and creators a way to publish and earn from their work. Generated music comes with a licensing framework designed for commercial use.

ElevenLabs Sound Effects (SFX)

The sound-effects feature turns a short text prompt into a usable audio clip. Type a description and the model generates the effect, which is handy for game audio, social video, and ad production where sourcing bespoke SFX is slow and expensive. You can control quality and duration parameters, making it flexible for both quick social clips and longer production needs.

8. API & Developer Tools: Building With ElevenLabs

The ElevenLabs TTS API

ElevenLabs is API-first at heart. The REST API exposes text-to-speech and voice-management endpoints, and supports streaming audio output so playback can start before the full clip is generated, which is essential for real-time apps. Official SDKs cover Python and JavaScript/TypeScript, with community libraries filling other languages.

Speech-to-Text: The Scribe API

Scribe is ElevenLabs' transcription engine. Scribe is the world's most accurate transcription model, built to handle the unpredictability of real-world audio, transcribing speech in 99 languages with word-level timestamps, speaker diarization, and audio-event tagging, all delivered in a structured response. In FLEURS and Common Voice benchmark tests across 99 languages, it consistently outperforms leading models like Gemini 2.0 Flash, Whisper Large V3, and Deepgram Nova-3, delivering the lowest word error rate in Italian (98.7%) and English (96.7%). Scribe launched priced at $0.40 per hour of input audio.

Integration Ecosystem

Beyond raw API calls, ElevenLabs plugs into common business tools and automation platforms, and supports webhooks and WebSocket streaming for custom deployments. Scribe handles files up to 10 hours with async processing and webhook notifications for large batches. Developer documentation, a community Discord, and tiered support round out the ecosystem for teams building at scale.

9. Key Use Cases & Industries Powered by ElevenLabs

Content Creation & Podcasting

Solo creators can produce studio-quality voiceovers without a microphone or booth. Podcasters can clone a host's voice and generate multilingual versions of an episode from a single recording, opening a show to new audiences without re-recording.

Audiobook Production

Publishing is a major target market. ElevenLabs' core text-to-speech and voice cloning technology positions it well to capture the growing audiobook market, currently valued at $5B and expected to reach $35B by 2030. The economics are striking for independents. Independent authors produce full-length audiobooks with marketplace voices for under $100 in credits. A recent distribution deal cements this further. In May 2026, Spotify announced a partnership with ElevenLabs to offer authors AI-generated audiobook production directly through Spotify, targeting $100M in audiobook revenue.

Customer Experience & Call Centres

AI agents are replacing legacy phone menus with natural conversation, cutting handle time and offering round-the-clock multilingual support. The Revolut and Klarna deployments above show the pattern: faster resolutions across dozens of languages, at a scale of millions of customers.

AI Dubbing Software for Film & Media

ElevenLabs' dubbing tools translate video into new languages while preserving the original voice, and increasingly with lip-sync alignment, so studios can localise content without re-shooting. Enterprise media customers already rely on this for global content distribution.

Education, Accessibility, and E-Learning

Natural TTS powers screen readers for visually impaired users, turning any text into clear speech. Interactive tutoring agents and language-learning apps use the same technology to create responsive, spoken lessons, which is one of the clearest examples of the "content universally accessible" mission in action.

10. Safety, Ethics & Content Moderation

Moderation Systems and Usage Policies

Voice cloning carries obvious misuse risk, so ElevenLabs runs both automated and human review. Its content policy prohibits non-consensual cloning, deceptive deepfakes, and hate speech, and the platform's team moderation and manual approval ensures authentic, user-verified voices are shared and monetized. Consent verification through Voice Captcha sits at the front of the cloning process.

Provenance and Accountability

ElevenLabs applies provenance measures to generated audio and participates in industry standards work around content authenticity. The goal is traceability: being able to identify AI-generated content and hold accounts accountable for misuse, which matters as synthetic audio becomes harder to distinguish from real recordings.

Election Integrity Commitments

ElevenLabs has publicly committed to guarding against AI-generated political audio that could mislead voters, joining industry coalitions on election integrity and publishing transparency reporting. These commitments have become a meaningful trust signal for enterprise buyers weighing reputational risk.

11. Funding, Investors & Business Growth

Funding Rounds and Valuation Milestones

ElevenLabs' funding trajectory has been steep. Pre-seed of $2M in January 2023, a $19M Series A at around $100M in June 2023 co-led by a16z, Nat Friedman, and Daniel Gross, an $80M Series B at $1.1B in January 2024, a $180M Series C at $3.3B in January 2025, and a $500M Series D at $11B in February 2026 led by Sequoia Capital. The Series D was led by Sequoia Capital with Andrew Reed joining the board, while Andreessen Horowitz quadrupled down and ICONIQ tripled down.

Revenue, Users, and Creator Economy

Growth on the revenue side has kept pace. Eleven Labs' 2026 revenue reached $500M ARR, up from $330M in 2025. The creator economy underpins a lot of that momentum, with over $22 million paid to voice creators and 10,400+ creators earning on the platform. Enterprise adoption is broad, with 41% of Fortune 500 companies using the platform.

Competitive Position and Market Context

ElevenLabs competes with OpenAI's voice models, Google, and Microsoft Azure TTS, but its differentiation lies in breadth: a voice marketplace, a full agent platform, and a wide model portfolio. There are signals of continued momentum too. ElevenLabs has held early talks with investors for a secondary offering that would value the startup at roughly $22 billion, which could double its valuation after the February funding round, potentially by September.

12. Global Expansion & Notable Partnerships

Enterprise and Government Deals

ElevenLabs' enterprise roster spans media, technology, and the public sector. Key enterprise customers include media companies (Washington Post, TIME), gaming studios (Paradox Interactive), publishing houses (HarperCollins), and newer wins including Deutsche Telekom, Square, the Ukrainian Government, and Revolut. A recent example: on July 28, 2026, DXC Technology announced a strategic partnership with ElevenLabs and participated in its $500 million Series D round.

International Markets and Localisation Strategy

Expansion is a stated priority for the fresh capital. ElevenLabs plans to continue its international expansion across London, New York, San Francisco, Warsaw, Dublin, Tokyo, Seoul, Singapore, Bengaluru, Sydney, São Paulo, Berlin, Paris, and Mexico City with locally embedded go-to-market teams. Regional data residency across the US, EU, and India supports compliance in priority language markets.

Strategic Partnerships

Partnerships stretch across platforms, publishers, and talent. The Spotify audiobook deal, the IBM enterprise voice collaboration, and the CMG Worldwide celebrity-licensing infrastructure all point the same direction: ElevenLabs positioning itself as the default generation layer inside larger content and enterprise ecosystems rather than a standalone tool.

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Frequently Asked Questions About ElevenLabs

What is ElevenLabs text-to-speech and how realistic is it?

ElevenLabs text to speech converts written text into natural, expressive spoken audio. Its realism comes from strong prosody, emotion, and pacing control, and the latest model reads intent from context. Eleven v3 offers contextual emotional understanding, reading intent from descriptive cues like "she said excitedly" or exclamation marks, with long-form narration quality suitable for audiobooks and documentaries. You can access it via the web app, mobile app, or API.

How does ElevenLabs voice cloning work, and is it safe?

There are two options: Instant Voice Clone from a short sample, and Professional Voice Cloning from around two hours of clean audio for higher fidelity. Safety is built in through consent checks. Only voice clones made with Professional Voice Cloning can be shared and monetized in the Voice Library, and each user must pass a Voice Captcha verification before sharing.

What is the ElevenLabs API and how can developers integrate it?

ElevenLabs offers a REST API for text-to-speech with streaming output, plus the Scribe speech-to-text API. Scribe v2 achieves best-in-class accuracy across 99 languages and is robust to challenging audio conditions, accents, and recording quality. SDKs cover Python and JavaScript/TypeScript, and the platform supports webhooks and WebSocket streaming for custom pipelines.

What are ElevenLabs conversational AI agents used for?

ElevenAgents power real-time voice agents for customer support, phone lines, and in-app assistants across web, phone, mobile, and messaging channels. They run fast enough for live dialogue, with Scribe v2 Realtime capturing speech in under 150 ms, and they operate across dozens of languages, as shown by the Revolut and Klarna deployments.

How does ElevenLabs make money, and who has invested in it?

Revenue comes from subscription tiers, API usage pricing, enterprise contracts, and a cut of the creator marketplace. Its 2026 revenue reached $500M ARR, up from $330M in 2025. ElevenLabs has 51 investors, including institutional backers such as Andreessen Horowitz and angels such as Daniel Gross, with Sequoia Capital leading the Series D.

What is Eleven v3 and how does it differ from older ElevenLabs AI models?

Eleven v3 is the flagship expressiveness model, using inline audio tags and multi-speaker dialogue across 70+ languages, best for offline studio content. Flash prioritises ultra-low latency for live agents, Turbo balances speed and quality, and for pure multilingual narration with classic stability, Multilingual v2 remains a solid alternative.

Conclusion: Why ElevenLabs Is Defining the Future of AI Audio

ElevenLabs has grown from a single expressive TTS model into a full audio platform, spanning voice cloning, dubbing, music, sound effects, transcription, and live conversational agents. The creator economy sits at its centre, with over $22 million paid to voice creators and a marketplace that turns a voice into an ongoing income stream. Its investment in moderation, consent verification, and provenance gives enterprises a reason to trust it at scale. As voice becomes a primary interface between people and machines, ElevenLabs is positioned right at the front of that shift.

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