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Coqui Review

Coqui is an open-source speech technology company offering text-to-speech and voice cloning solutions.

shipped Aug 14, 2026freemium

Domain rating59

Why it matters

1Coqui TTS is an open-source deep learning toolkit for high-performance text-to-speech synthesis and voice cloning.

2The commercial Coqui company shut down in January 2024, with its core TTS project now community-led.

3The XTTS v2 model supports 17 languages and can stream audio with less than 200ms latency.

4XTTS v2 is widely regarded as a leading open local engine for multilingual voice cloning in 2026.

overview

What is Coqui?

Coqui is an AI speech technology tool developed by Coqui Coqui (company) that enables developers, content creators, and academic institutions to generate high-quality text-to-speech and perform voice cloning. It is primarily known for its advanced Text-to-Speech (TTS) capabilities and voice cloning, now maintained as an open-source project after the commercial company's shutdown in January 2024. The Coqui TTS deep learning toolkit converts written text into natural-sounding speech and can replicate voices from short audio samples, supporting applications like AI companions, automated content creation, and accessibility tools. The XTTS v2 model, a key component, offers multilingual support across 17 languages and low-latency audio streaming.

features

Key Features of Coqui

Coqui TTS provides a robust set of features for speech synthesis and voice manipulation, primarily through its open-source deep learning toolkit. These capabilities are designed for high-performance and flexibility in various applications.

Open-source speech technology for community-driven development and customization.
Advanced Text-to-Speech (TTS) solutions for converting written text into natural-sounding speech.
Voice cloning capabilities, enabling replication of voices from short audio samples.
Deep learning toolkit for high-performance text-to-speech synthesis.
Multilingual speech synthesis supporting 17 languages with the XTTS v2 model.
Low-latency audio streaming, with less than 200ms latency for XTTS v2.
Fine-tuning code available for customizing models.
Community-led development with monthly releases and quarterly model updates.

use cases

Who Should Use Coqui?

Coqui TTS is primarily designed for technical users and organizations requiring advanced, customizable speech technology solutions. Its open-source nature and powerful models cater to specific development and content creation needs.

Developers: For integrating high-performance text-to-speech and voice cloning into custom applications and systems.
AI Companions and Virtual Assistant Builders: For creating natural and consistent voices for digital assistants and interactive agents.
Content Creators and Media Companies: For generating voiceovers for podcasts, audiobooks, videos, and other automated content, including multilingual localization.
Academic Institutions: For research and development in speech technology, leveraging the open-source toolkit for experimentation and innovation.
Accessibility Tool Developers: For building screen readers and educational tools that require natural-sounding, consistent voices across different languages.

how to use

How to Use Coqui

Utilizing Coqui TTS primarily involves interacting with its open-source deep learning toolkit, which requires technical proficiency in Python and machine learning environments. The process typically begins with setting up the development environment and then leveraging the XTTS v2 model for synthesis or cloning.

1Install the Coqui TTS Python library via pip or by cloning the GitHub repository.
2Set up the necessary deep learning environment, including PyTorch and other dependencies.
3Download pre-trained models, such as the XTTS v2 model weights, from the community repositories.
4Utilize the provided API or command-line tools to input text for speech synthesis.
5Provide short audio samples (e.g., 3-5 seconds) for voice cloning tasks.
6Configure parameters for language, voice style, and output format to generate desired audio.

pricing

Coqui Pricing & Plans

Coqui operates on a freemium model, with its core Coqui TTS project and XTTS v2 model weights being available for free under specific open-source licenses. The commercial company that previously offered paid SaaS and API services shut down in January 2024, meaning there is no longer a mechanism to purchase commercial licenses for the XTTS v2 model.

Freemium: Free access to the Coqui TTS Python library (MPL 2.0 license) and XTTS v2 model weights (Coqui Public Model License (CPML) 1.0.0 for non-commercial use only).

Pros

+High-quality text-to-speech synthesis and voice cloning, rivaling commercial solutions.
+Open-source nature allows for extensive customization, modification, and integration.
+XTTS v2 model supports 17 languages with improved performance and low latency (<200ms).
+Active community-led development with regular updates and support forums.
+Ability to fine-tune models for specific use cases and voices.
+Produces 85-95% similarity in voice cloning from short audio samples, including emotional range.

Cons

−The Coqui Public Model License (CPML) 1.0.0 for XTTS v2 model weights explicitly permits only non-commercial use.
−The commercial company shut down in January 2024, eliminating official commercial support and licensing options.
−Users report significant installation challenges and a steep learning curve, making it less accessible for non-technical users.
−Requires technical proficiency in deep learning and Python for effective implementation.
−Production readiness was rated 7/10 with a time to proof-of-concept of more than a week in a November 2023 review.

Similar Tools

Coqui vs Competitors

Coqui TTS, particularly its XTTS v2 model, holds a unique position in the speech technology landscape as a leading free, open-source solution for multilingual voice cloning and text-to-speech. Its competitive standing is largely defined by its technical capabilities and licensing model.

Bark↗

Generates highly realistic, natural-sounding speech with non-speech sounds like laughter, crying, and music.

Bark offers more expressive and emotional voice generation than Coqui's base models, but it can be more computationally intensive to run locally, requiring more powerful hardware.

Mycroft Mimic 3↗

A fast, local neural text-to-speech engine that runs entirely offline.

Mimic 3 focuses on efficient, offline TTS generation, which might offer less voice cloning flexibility or emotional range compared to Coqui's more advanced models.

Piper↗

A fast, lightweight, and high-quality neural text-to-speech system designed for embedded devices and offline use.

Piper excels in speed and low resource usage, making it ideal for local deployment, but it may offer fewer pre-trained voices or advanced voice cloning features than Coqui.

OpenVoice↗

Enables versatile voice cloning with fine-grained control over voice styles, allowing for instant cloning from short audio clips.

OpenVoice focuses specifically on instant and versatile voice cloning, potentially offering more control over style transfer than Coqui's voice cloning capabilities, but it might not have as broad a range of pre-trained TTS voices.

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