How Does Elevenlabs Works?

ElevenLabs, a San Francisco-based startup, is trailblazing the field of artificial intelligence-powered speech synthesis and voice cloning. Founded in 2022 by former Google and Palantir engineers, ElevenLabs has developed groundbreaking technology that can produce natural-sounding synthesized speech in over 30 languages.


Speech synthesis, or text-to-speech (TTS), is the artificial production of human speech from written text. It enables machines to “talk” and has numerous applications from screen readers for the visually impaired to voice assistants like Siri and Alexa. However, synthesized speech often sounds robotic and unnatural.

ElevenLabs is changing that with its AI-assisted TTS software, Speech Synthesis, which leverages large neural networks and deep learning to generate incredibly lifelike synthetic voices. The startup’s technology accurately clones voices, accents, intonations, and emotions to produce multilingual speech that is indistinguishable from human recordings.

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This article will explore how ElevenLabs is revolutionizing speech synthesis and voice cloning using artificial intelligence. We’ll look at:

  • The history and founders of ElevenLabs
  • How ElevenLabs’ Speech Synthesis software works
  • Key features and capabilities
  • Use cases and applications
  • The technology underlying Speech Synthesis
  • Funding and future directions for the company

The Founding of ElevenLabs

ElevenLabs was founded in 2022 by two former tech engineers – Piotr Dabkowski and Mati Staniszewski. Dabkowski previously worked at Google as a machine learning engineer, focusing on speech recognition. Staniszewski was a deployment strategist at data analytics firm Palantir.

The two founders combined their expertise in machine learning and data infrastructure to build a revolutionary text-to-speech system. The startup is based in San Francisco and has over 50 employees working on speech synthesis technology.

ElevenLabs has raised $13 million in funding so far from investors like Credo Ventures and Concept Ventures. The founders aim to disrupt the speech synthesis industry by making synthesized voices more expressive and authentic than ever before.

How Speech Synthesis Software Works

The core of ElevenLabs’ product is its browser-based Speech Synthesis software. Speech Synthesis leverages state-of-the-art neural networks to synthesize natural human speech from text in real-time.

The TTS system works by first taking input text and converting it into linguistic representations of phonemes, syllables, and other speech components. It then feeds these representations into a proprietary neural network model called Eleven Multilingual v2.

Eleven Multilingual v2 is trained on thousands of hours of real human speech data. It has learned the complex mappings between text and the acoustic properties that make up human voices, accents, tones, and emotional nuances.

The neural network generates raw spectrogram audio data, which is then vocoded into the final speech waveform output. This output is a near human-identical synthetic voice reading the input text aloud.

Speech Synthesis supports text input in over 30 languages like English, Spanish, French, German, and Mandarin Chinese. The synthesized voices sound incredibly realistic complete with unique accents, dialects, and vocal characteristics.

Key Features and Capabilities

Some of the key features and capabilities of ElevenLabs’ Speech Synthesis software include:

  • Cloning voices – Users can clone any voice by providing just 3 minutes of sample audio from a target speaker. Speech Synthesis can then generate new speech in that same voice.
  • Emotional nuance – The software replicates subtle vocal tones, inflections, and emotions like excitement, sadness, nervousness etc. This makes the synthetic speech more expressive and lifelike.
  • Accents and dialects – Eleven Multilingual v2 faithfully reproduces accents and dialects in languages like British and American English, Castilian and Latin American Spanish, and more.
  • Custom voices – Users can fully design and customize synthetic voices to their needs by tweaking pitch, tone, speed and other parameters.
  • Real-time synthesis – Speech Synthesis generates audio immediately from text with low latency, enabling uses like live subtitling.
  • Multilingual support – The software can synthesize natural, fluent speech in over 30 languages and dialects.
  • Voice cloning API – ElevenLabs provides APIs for voice cloning and speech synthesis to integrate into other applications.

These capabilities make Speech Synthesis extremely versatile for various text-to-speech use cases across industries and languages.

Use Cases and Applications

ElevenLabs’ AI-generated speech technology has diverse use cases:

  • Dubbing and localization – Media studios use Speech Synthesis to dub videos and games into other languages by cloning voice actors. This avoids expensive and time-consuming re-recording.
  • Accessibility – The software can narrate web pages, documents, e-books and more for the visually impaired. Realistic voices enhance accessibility.
  • Smart assistants – More natural voices improve intelligibility and user experience for voice assistants like Alexa or Google Home.
  • Audiobooks – Publishers use Speech Synthesis to mass generate audiobooks cheaply without recording human narrators.
  • Automated phone systems – Lifelike TTS enhances customer experience for phone menus, reminders, notifications etc.
  • Vehicle navigation – Natural speech makes turn-by-turn directions easier to understand and less distracting while driving.
  • Gaming – Game studios can clone voices to create dynamic dialogue without exhaustive voice acting.

These applications demonstrate the versatility of ElevenLabs’ technology across many industries and use cases, from entertainment to accessibility.

The Technology Behind Speech Synthesis

Speech Synthesis represents a massive technological leap forward, driven by recent advances in deep learning and AI. ElevenLabs leverages several key technologies:

  • Deep neural networks – Speech Synthesis uses a type of deep neural network called Transformers. Transformers can model complex sequence data like text and speech with higher accuracy than previous models.
  • Generative modeling – Generative modeling generates new samples after learning patterns from large training datasets. This allows creating new voices from samples.
  • Transfer learning – Pre-trained models like Eleven Multilingual v2 transfer knowledge across languages, accents, and tasks, improving performance.
  • Data efficiency – ElevenLabs uses semi-supervised learning, data augmentation and other techniques to train models using limited data. This unlocks new use cases like cloning voices using just minutes of audio.
  • Accelerators – GPUs and specialized AI chips provide the computing power to run state-of-the-art models in real-time.

These technical innovations enable ElevenLabs to keep pushing the limits of speech synthesis quality and capabilities as the technology continues evolving rapidly.

Funding and The Road Ahead

ElevenLabs has raised $13 million in funding so far from investors like Credo Ventures, Concept Ventures, and various angel investors.

The company plans to use these funds to keep improving its speech synthesis technology and scale up its operations. Key priorities include enhancing voice cloning capabilities, expanding language support, and growing its international user base.

ElevenLabs faces competition from tech giants like Amazon, Google, Meta, and Baidu, who are all investing heavily in speech synthesis research. But the startup’s focus on productizing cutting-edge innovations gives it an advantage.

The founders aim to firmly establish ElevenLabs as a driving force in the speech synthesis industry. They believe that technologies like Speech Synthesis will become a widespread utility thanks to the rapid pace of advancement in AI. ElevenLabs seeks to make synthesized speech indistinguishable from recordings – and democratize access to lifelike vocal avatars.


ElevenLabs is trailblazing the evolution of text-to-speech through transformative AI research. Its Speech Synthesis software leverages advanced deep learning to deliver incredibly natural voice cloning, accent replication, and expressive capabilities.

Seamless multilingual support in over 30 languages unlocks valuable use cases in media localization, accessibility, automotive applications, audiobooks, and more. ElevenLabs’ technology will enable speech synthesis to become an integral part of human-machine interaction.

Backed by strong technical fundamentals and generative modeling, the possibilities are endless for shaping customized, authentic synthetic voices. As ElevenLabs continues refining its technology, it is bringing us closer to a future where synthesized speech is ubiquitous and indistinguishable from human voices.

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