Coqui
Coqui is an open-source deep learning toolkit for text-to-speech and speech-to-text, providing AI-powered voice generation and cloning capabilities.
https://coqui.ai/
Product Information
Updated:Feb 16, 2025
Coqui Monthly Traffic Trends
Coqui achieved 129,187 visits with a 13.8% increase in January 2025. Without specific updates from Coqui, this slight growth could be attributed to general market trends and the continued interest in text-to-speech technology. The presence of strong competitors like Lazybird and Azure Text to Speech suggests a competitive market, but Coqui's open-source model and voice cloning capabilities may still attract users.
What is Coqui
Coqui is a startup dedicated to democratizing speech technology through open-source tools and AI-powered voice solutions. Founded by former Mozilla researchers, Coqui offers a suite of products including TTS (text-to-speech), STT (speech-to-text), and Coqui Studio for AI voice generation. The company name comes from the coquí, a species of tree frog native to Puerto Rico, and reflects their mission to give voice to open speech technology.
Key Features of Coqui
Coqui is an open-source deep learning toolkit for speech technology, offering Text-to-Speech (TTS) and Speech-to-Text (STT) capabilities. It provides realistic AI voices with emotional expression, voice cloning, and multi-language support. Coqui Studio, their web platform, allows users to create, edit, and direct AI-generated voiceovers for various applications.
Voice Cloning: Clone any voice from just 3 seconds of audio, enabling personalized voice synthesis.
Emotional Expression: Generate speech with adjustable emotions, style, and pacing for more natural-sounding voiceovers.
Multi-language Support: Offers cross-language voice cloning and multi-lingual speech generation capabilities.
Open-source Toolkit: Provides a comprehensive set of tools for training and deploying speech models.
Web-based Studio: Offers a user-friendly interface for voice synthesis, editing, and directing with advanced features.
Use Cases of Coqui
Video Game Voiceovers: Create diverse character voices and dialogues for immersive gaming experiences.
Dubbing and Localization: Efficiently produce voiceovers in multiple languages for international content.
Audiobook Production: Generate narration for books with customizable voices and emotional expressions.
Podcast Creation: Synthesize voices for podcast hosts or guests, enabling creative content production.
Accessibility Solutions: Provide text-to-speech capabilities for visually impaired users or screen readers.
Pros
Open-source and customizable
Realistic AI voices with emotional expression
Supports multiple languages and cross-language voice cloning
Cons
May require technical expertise for advanced customization
Performance and quality may vary depending on the specific model and use case
How to Use Coqui
Install Coqui TTS: Clone the Coqui TTS repository and install it using pip: git clone https://github.com/coqui-ai/TTS && cd TTS && pip install -e .[all,dev,notebooks]
Choose a pre-trained model: List available models using: tts --list_models
Generate speech: Use the tts command to generate speech, e.g.: tts --text "Hello world" --model_name tts_models/en/vctk/vits --out_path output.wav
Start a demo server: Run tts-server to start a local web interface for speech synthesis
Fine-tune a model (optional): Prepare a dataset and configuration file, then use train_tts.py to fine-tune a model on your own data
Use in Python code: Import and use Coqui TTS in Python scripts for more advanced usage and integration into applications
Coqui FAQs
Coqui is an open-source deep learning toolkit for text-to-speech (TTS) and speech-to-text (STT) technologies. It provides tools for training and deploying speech models.
Official Posts
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Analytics of Coqui Website
Coqui Traffic & Rankings
129.2K
Monthly Visits
#354414
Global Rank
#7682
Category Rank
Traffic Trends: May 2024-Jan 2025
Coqui User Insights
00:01:28
Avg. Visit Duration
2
Pages Per Visit
51.22%
User Bounce Rate
Top Regions of Coqui
US: 12.42%
NG: 9.83%
IN: 5.63%
CA: 4.97%
GB: 4.07%
Others: 63.08%
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