Open Source Text to Speech Software
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Text to Speech Software
View 124 business solutionsBrowse free open source Text to Speech software and projects below. Use the toggles on the left to filter open source Text to Speech software by OS, license, language, programming language, and project status.
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Capture2Text
Quickly OCR part of the screen and save resulting text to clipboard
Capture2Text enables users to quickly OCR a portion of the screen using a keyboard shortcut. The resulting text will be saved to the clipboard by default. Supports 90+ languages including Chinese, English, French, German, Japanese, Korean, Russian, and Spanish. Portable and does not require installation. See http://capture2text.sourceforge.net for details. -
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Piper TTS
A fast, local neural text to speech system
Piper is a fast, local neural text-to-speech (TTS) system developed by the Rhasspy team. Optimized for devices like the Raspberry Pi 4, Piper enables high-quality speech synthesis without relying on cloud services, making it ideal for privacy-conscious applications. It utilizes ONNX models trained with VITS to deliver natural-sounding voices across various languages and accents. Piper is particularly suited for offline voice assistants and embedded systems. -
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OpenAI.fm
Code for openai.fm, a demo for the OpenAI Speech API
OpenAI.fm is an official interactive demo application built to showcase the OpenAI Speech API and its advanced text-to-speech capabilities, providing developers and creators with a hands-on web interface to convert text into high-quality, customizable audio using state-of-the-art TTS models. Developed using Next.js and the OpenAI Speech API, this demo illustrates how the latest neural voice models can produce natural, expressive speech with adjustable styles and voices, highlighting features like emotional range, tone, and real-time playback. Users can experiment with different input text and voice options directly in their browser, gaining a sense of how high-fidelity AI audio can be integrated into applications ranging from podcasts and narration to accessibility tools and interactive agents. Although the web demo is free to explore, production use of the underlying API requires an OpenAI API key and may incur costs based on usage. -
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Text to Speech engine for English and many other languages. Compact size with clear but artificial pronunciation. Available as a command-line program with many options, a shared library for Linux, and a Windows SAPI5 version.
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Applio
A simple, high-quality voice conversion tool focused on ease of use
Applio is a high-quality voice conversion toolkit designed to make modern RVC/VITS-based voice cloning accessible to non-experts. It focuses strongly on ease of use: installation scripts for Windows, Linux, and macOS set up dependencies and then launch a browser-based Gradio interface. Within that interface, users can train and run voice conversion models for tasks like singing conversion, speech-to-speech transformation, and voice cloning. The project is structured to be flexible through plugins and configurations so users can extend functionality without touching the core code. Applio is considered stable and mature; ongoing development is now centered on security patches, dependency maintenance, and occasional improvements, which makes it attractive for production or repeatable workflows. It also includes TensorBoard helper scripts so people training custom models can monitor metrics and experiment more systematically. -
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Voicebox
The open-source voice synthesis studio powered by Qwen3-TTS
Voicebox is a local-first voice synthesis studio that aims to bring professional, DAW-like voice generation workflows to a desktop app while keeping models and voice data entirely on your machine. It positions itself as an open-source alternative to cloud voice platforms by emphasizing privacy, offline use, and freedom from subscriptions or usage caps. The tool supports downloading voice models, cloning voices from short audio samples, and generating speech locally, then organizing the results using studio-oriented editing concepts. A standout capability is its multi-track timeline editor and supporting audio tools (like trimming and conversation mixing), which let creators compose multi-voice scenes instead of generating single clips in isolation. It is API-first, meaning you can use it as an app for production work or integrate its speech generation into your own software via an API layer. -
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SoniTranslate
Synchronized Translation for Videos
SoniTranslate is a video translation and dubbing system that produces synchronized target-language audio tracks for existing video content. It provides a web UI built with Gradio, allowing users to upload a video, choose source and target languages, and then run a pipeline that handles transcription, translation and re-synthesis of speech. Under the hood, it uses advanced speech and diarization models to separate speakers, align audio with timecodes and respect subtitle timing, which lets the generated dub track stay in sync with the original video structure. The project supports a wide range of languages for translation, spanning major world languages (English, Spanish, French, German, Chinese, Arabic, etc.) and many regional or less widely spoken languages, making it suitable for broad internationalization. It offers multiple usage modes, including a Colab notebook for cloud-based experimentation, a Hugging Face Space demo for quick trials, and instructions. -
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PNotes is light-weight, flexible, skinnable manager of virtual notes on your desktop. It supports multiple languages, individual note's settings, transparency and scheduling. Absolutely portable as well - no traces in registry. PNotes.NET edition requires .NET framework 4 Client Profile
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kokoro-onnx
TTS with kokoro and onnx runtime
kokoro-onnx is a text-to-speech toolkit that wraps the Kokoro neural TTS model in an easy-to-use ONNX Runtime interface, so you can generate speech from Python with minimal setup. It focuses on running efficiently on commodity hardware, including macOS with Apple Silicon, while still delivering near real-time performance for many use cases. The project ships prebuilt model files and a simple example script, so you can go from installation to producing an audio.wav file in just a few steps. It supports multiple languages and voices, with a curated voice list and configuration via a VOICES file hosted alongside the models. The package is distributed on PyPI, meaning you can integrate it directly into applications or scripts using standard Python tooling. It also recommends pairing with an external G2P package to improve pronunciation quality, especially for more complex languages or names, and is licensed under permissive MIT and Apache-style licenses. -
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DiffSinger
Singing Voice Synthesis via Shallow Diffusion Mechanism
DiffSinger is an open-source PyTorch implementation of a diffusion-based acoustic model for singing-voice synthesis (SVS) and also text-to-speech (TTS) in a related variant. The core idea is to view generation of a sung voice (mel-spectrogram) as a diffusion process: starting from noise, the model iteratively “denoises” while being conditioned on a music score (lyrics, pitch, musical timing). This avoids some of the typical problems of prior SVS models — like over-smoothing or unstable GAN training — and produces more realistic, expressive, and natural-sounding singing. The method introduces a “shallow diffusion” mechanism: instead of diffusing over many steps, generation begins at a shallow step determined adaptively, which leverages prior knowledge learned by a simple mel-spectrogram decoder and speeds up inference. -
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TTS-Vue
Microsoft speech synthesis tool, built with Electron
TTS-Vue is a desktop text-to-speech application built with Electron, Vue, ElementPlus, and Vite, focused on using Microsoft’s official Speech API for high-quality neural synthesis. It wraps the Microsoft TTS WebSocket interface in a clean UI so users can paste or load text, choose voices, tweak parameters, and export audio without touching raw API calls. The app supports SSML (Speech Synthesis Markup Language), letting power users specify fine-grained control over pronunciation, pauses, prosody, and emphasis using XML-like markup. It includes batch conversion: users can select multiple .txt files and convert them into audio in one go, making it handy for large text collections or repetitive tasks. For long texts or big files, TTS-Vue automatically slices content into manageable segments, converts them separately, and then stitches them back into a single audio file, avoiding the usual length or timeout issues with TTS APIs. -
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Kitten TTS
State-of-the-art TTS model under 25MB
KittenTTS is an open-source, ultra-lightweight, and high-quality text-to-speech model featuring just 15 million parameters and a binary size under 25 MB. It is designed for real-time CPU-based deployment across diverse platforms. Ultra-lightweight, model size less than 25MB. CPU-optimized, runs without GPU on any device. High-quality voices, several premium voice options available. Fast inference, optimized for real-time speech synthesis. -
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eGuideDog project develops free software for the blind. Currently, we focus on WebSpeech, Ekho TTS and WebAnywhere.
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OpenVoice
Instant voice cloning by MIT and MyShell. Audio foundation model
OpenVoice is a versatile instant voice cloning system that can replicate a speaker’s tone color from just a short audio clip and then generate speech in multiple languages. It is designed not only to match the timbre of the reference voice, but also to give granular control over style parameters such as emotion, accent, rhythm, pauses, and intonation. The model supports cross-lingual and even zero-shot cross-lingual voice cloning, so a speaker recorded in one language can be made to speak naturally in others. Architecturally, OpenVoice separates “tone color” cloning from style control, which makes it easier to keep a consistent identity while flexibly changing prosody or language. The project provides open-weight models, inference code, and examples, making it suitable both for research and for building production voice experiences. It is actively developed by MyShell, which also integrates OpenVoice into broader agent and entertainment workflows. -
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Qwen3-TTS
Qwen3-TTS is an open-source series of TTS models
Qwen3-TTS is an open-source text-to-speech (TTS) project built around the Qwen3 large language model family, focused on generating high-quality, natural-sounding speech from plain text input. It provides researchers and developers with tools to transform text into expressive, intelligible audio, supporting multiple languages and voice characteristics tuned for clarity and fluidity. The project includes pre-trained models and inference scripts that let users synthesize speech locally or integrate TTS into larger pipelines such as voice assistants, accessibility tools, or multimedia generation workflows. Because it’s part of the broader Qwen ecosystem, it benefits from the model’s understanding of linguistic nuances, enabling more accurate pronunciation, prosody, and contextual delivery than many traditional TTS systems. Developers can customize voice output parameters like speed, pitch, and volume, and combine the TTS stack with other AI components. -
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Readest
Readest is a modern, feature-rich ebook reader
Readest is a project meant to facilitate reading, studying, or consuming content by integrating reading tools with AI-powered assistance. Although the repository is not as widely documented or popular as some, the idea is that Readest supports features to help with reading comprehension — likely combining OCR / text retrieval, translation, note-taking, or summarization for reading materials (eBooks, articles, PDFs). The goal appears to be to let users feed in arbitrary reading material and then interact with it (highlighting, translation, lookup, maybe TTS or summarization) more comfortably. Because of that, it's oriented towards learners, researchers, or people dealing with multilingual documents — especially when they need to rapidly digest or reference large amounts of text. The design seems to prioritize flexible input formats, possibly OCR or uploaded documents, and interactive tools to navigate or annotate them. -
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ebook2audiobook
Generate audiobooks from e-books, voice cloning & 1107+ languages
ebook2audiobook is a tool to convert legally obtained eBooks (non-DRM) into fully narrated audiobooks, complete with chapters and metadata. It automates the pipeline: it reads the eBook file, splits it into appropriate segments (chapters, paragraphs), uses text-to-speech (TTS) models to synthesize audio, optionally applies voice cloning, and outputs a final audiobook — ideal for people who prefer listening over reading, or for accessibility purposes. The tool supports a wide array of underlying TTS backends (XTTSv2, Bark, VITS, Fairseq, Tacotron2, YourTTS and more), which gives flexibility depending on hardware availability, voice preference, and language. It also supports a huge number of languages — apparently “+1110 languages and dialects” in its supported set — making it suitable for eBooks in many languages. -
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Open JTalk is a Japanese text-to-speech synthesis system. This software is released under the Modified BSD license.
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edge-tts
Use Microsoft Edge's online text-to-speech service from Python
edge-tts is a Python module and command-line tool that gives you direct access to Microsoft Edge’s online text-to-speech service without needing the Edge browser, Windows, or any API key. It wraps the same cloud voices used by Edge, exposing them through a simple CLI (edge-tts, edge-playback) and a Python API, so you can script high-quality speech generation in your own applications. The tool lets you list available voices, specify locale and voice name, and generate audio files in common formats like MP3 or WAV. It also supports generating subtitle files (such as SRT or VTT) alongside the speech, which is handy for video narration, e-learning, or accessibility workflows. From the CLI you can adjust parameters such as speaking rate, volume, and pitch, giving you some control over prosody without diving into SSML. The library is asynchronous under the hood, which makes it efficient for batch jobs or web services that need to synthesize many utterances concurrently. -
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Chatterbox
SoTA open-source TTS
Chatterbox is Resemble AI's first production-grade open source TTS model. Licensed under MIT, Chatterbox has been benchmarked against leading closed-source systems like ElevenLabs and is consistently preferred in side-by-side evaluations. Whether you're working on memes, videos, games, or AI agents, Chatterbox brings your content to life. It's also the first open source TTS model to support emotion exaggeration control, a powerful feature that makes your voices stand out. Try it now on our Hugging Face Gradio app. If you like the model but need to scale or tune it for higher accuracy, check out our competitively priced TTS service (link). It delivers reliable performance with ultra-low latency of sub-200ms—ideal for production use in agents, applications, or interactive media. -
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Voice-Pro
Comprehensive Gradio WebUI for audio processing
Voice-Pro is the best gradio WebUI for transcription, translation and text-to-speech. It can be easily installed with one click. Create a virtual environment using Miniconda, running completely separate from the Windows system (fully portable). Supports real-time transcription and translation, as well as batch mode. -
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EPUB to Audiobook Converter
EPUB to audiobook converter, optimized for Audiobookshelf
EPUB to Audiobook Converter is a tool designed to convert EPUB ebooks into chaptered audiobooks, optimized specifically for Audiobookshelf servers. It reads each chapter from an EPUB file, generates audio using a chosen text-to-speech backend, and outputs separate MP3 files with chapter titles preserved as metadata to make navigation easier. The project supports multiple TTS providers, including Microsoft Azure TTS, EdgeTTS, OpenAI TTS, local Piper, and Kokoro via an OpenAI-compatible endpoint, allowing users to choose between cloud and self-hosted voices. A recent addition is a Gradio-based WebUI, which wraps all configuration options in a graphical interface for users who prefer not to work with the command line. The tool offers advanced options such as controlling chapter ranges, handling paragraph detection via newline modes, removing endnote markers, and using regex-based search-and-replace files to tweak pronunciations. It can be run directly with Python or via Docker. -
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clone-voice
A sound cloning tool with a web interface, using your voice
Clone-voice is a local voice-cloning tool that lets you synthesize speech in any target voice or convert one recording into another voice using the same timbre. It is built around Coqui’s XTTS-v2 model, so it inherits multilingual support and modern neural TTS quality while wrapping it in a user-friendly desktop workflow. The app is designed to be very easy to use: you download a precompiled package, double-click app.exe, and it launches a browser-based web interface where you control cloning and synthesis. It does not require an NVIDIA GPU to run basic tasks, although GPU acceleration can be used when available, making it accessible on modest machines. The tool supports around sixteen languages, including Chinese, English, Japanese, Korean, French, German, Italian, and others, and can capture reference voices directly from a microphone or from uploaded audio. -
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Pot Desktop
A cross-platform software for text translation and recognition
Pot-Desktop is a cross-platform productivity tool aimed at helping users quickly translate, perform OCR (optical character recognition), and synthesize speech for selected text or images — all with minimal friction. It supports picking text via mouse selection (“highlight-and-translate”), clipboard listening, or screenshot-based OCR; this makes it ideal for reading webpages, documents, images — or any on-screen text — and instantly getting translations or text extraction. The tool supports external plugin extensions, which means its functionality can be expanded far beyond the built-in options: you can add translation engines, OCR backends, TTS engines, vocabulary export (e.g. for language learning), and more. Pot-Desktop works on Windows, macOS, and Linux (including Wayland environments), and offers convenient installers or package-manager installation methods (e.g. via brew or .deb, etc.), so it’s accessible for users on all major desktop OSes. -
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VoiceFixer
General Speech Restoration
VoiceFixer is a machine-learning framework for “speech restoration”: given a degraded or distorted audio recording — with noise, clipping, low sampling rate, reverberation, or other artifacts — it attempts to recover high-fidelity, clean speech. The architecture works in two stages: first an analysis stage that tries to extract “clean” intermediate features from the noisy audio (e.g. removing noise, denoising, dereverberation, upsampling), and then a neural vocoder-based synthesis stage that reconstructs a high-quality waveform from those features. Unlike many single-purpose noise reduction tools, VoiceFixer targets a “general speech restoration” problem (GSR), capable of handling multiple types of distortions at once, which makes it suitable for old recordings, phone-call audio, amateur voice recordings, or archival media. Evaluations show that VoiceFixer significantly improves both objective and subjective audio quality compared to baseline speech-enhancement methods.
Guide to Open Source Text to Speech Software
Open source text to speech software is a type ofprogram that can read written text aloud in different languages and accents. It utilizes Artificial Intelligence (AI) technology, Natural Language Processing (NLP), and voice synthesis algorithms to generate synthesized audio output from raw typewritten or digital text. This type of software is particularly useful for those with visual impairments, as it makes reading onscreen easier by providing an audible version of the content rather than relying solely on visuals. Additionally, open source text to speech software can be used as a tool for people who need assistance mastering a language as they are able to listen to the pronunciation of words and phrases within the context of their conversations or studies.
Open source TTS differs from commercial solutions in that its code is made freely available to anyone who wishes to use or modify it, making alterations easier and quicker compared to closed-off coding programs. As such, developers have more control over how their project will look and run, which helps them create specialized applications tailored specifically for their needs without having to pay exorbitant licensing fees associated with some proprietary technologies. Furthermore, because open source projects are publicly available under liberal licenses like GPL (GNU General Public License), many talented developers contribute time and resources into perfecting existing pieces of code, thus allowing everyone access top-notch tools backed by strong support communities without worrying about cost constraints.
All in all, open source text to speech technology has empowered developers around the world by giving them greater control over how they create their applications than ever before through its freely available resources across platforms such as Windows or MacOS as well as Linux distributions such as Ubuntu/Debian/Fedora etc.. Thanks its accessibility and flexibility, users can manipulate software according to specific needs while taking advantage amazing contributions from its user base.
Features of Open Source Text to Speech Software
- Text-to-Speech Synthesis: This feature allows users to convert a written text into an audio version, which is produced by a computerized voice. The text can include articles, emails, news stories, and other documents.
- Language Options: Open source text-to-speech software often provides multiple language options, making it suitable for international applications. This allows users to generate audio files in any language they choose.
- Customizable Voices: Some open source text-to-speech programs offer customizable voices, allowing the user to adjust the tone and tempo of the synthetic voice output to create more natural sounding speech patterns.
- Volume Control: Open source text-to-speech software usually offers volume control options so that users can adjust how loud or quiet their audio output will be.
- File Formats: Most open source programs allow for the creation of both MP3 and WAV files for easy playback on any type of device or platform you may use.
- Editing Tools: Many open source text-to-speech programs also come with editing tools inclusive of creating sound effects and modifying frequency ranges to customize your audio even further.
What Types of Open Source Text to Speech Software Are There?
- Artificial intelligence-based Text to Speech (AI TTS): AI TTS is a category of open source text to speech software that uses artificial intelligence algorithms to analyze input data and generate synthetic voice output. Artificial intelligence technology can be used to create synthetic voices that have natural sounding intonations, accents, and expressions.
- Standard-based Text to Speech (SSTS): SSTS is an open source text to speech system developed according to an industry standard such as the SSML specification maintained by the World Wide Web Consortium (W3C). This type of text to speech software adheres strictly to the standards and may provide consistent results across different devices or platforms.
- Reusable Component Text To Speech (RC TTS): RC TTS is an open source text-to-speech application that uses standardized components or modules which can be reused in various applications or projects. RCTTS provides flexibility and customization options when it comes to integrating a text-to-speech solution into different projects.
- Machine Learning Based Text To Speech (ML TTS): ML TTS is an open source application based on machine learning technology which analyses input data and generates appropriate outputs for a given task. This type of text to speech software often combines different elements like natural language understanding (NLU), deep learning, predictive analytics etc., and relies heavily on statistical models generated from real world data sets.
Open Source Text to Speech Software Benefits
- Cost-Effective: Open source text to speech software eliminates the need to purchase expensive proprietary solutions and helps organizations reduce costs. Many open source solutions are free, while others have reasonably priced commercial versions available. This makes them ideal for startups, small businesses, and individuals with limited budgets.
- Flexible Customization Options: Open source text to speech tools often provide a wide range of customization options that enable users to adapt the software so it better meets their specific needs. This flexibility can be useful in adapting content for different markets or target audiences.
- Improved Accessibility: By converting language into audio output, open source text to speech technology can help improve access for those who are visually impaired or otherwise challenged when it comes to reading printed materials. It is also useful for those learning new languages who require audio feedback as they progress through lessons.
- Greater Efficiency: Open source text to speech solutions streamline processes by automating certain tasks (such as generating transcripts), freeing up staff time for more important work or creative pursuits. Additionally, multiple formats (audio files, videos) can be generated from one source document without manual effort or additional cost involved in production/editing process.
- Easy Deployment: Most open source text to speech tools have simple installation procedures and setup wizards that make them easy even for novice users to get started with quickly, making deployment fast and efficient across a variety of devices and platforms regardless of technical proficiency level or budget constraints.
Types of Users That Use Open Source Text to Speech Software
- Students: Students may use open source text to speech software for class assignments such as transcribing audio recordings or reading aloud from documents. Additionally, people with disabilities or difficulty speaking can benefit from the tool to read aloud digital content and participate in classroom discussions.
- Call Center Agents: Open source text-to-speech software can help improve customer service by providing customers with automated messages that sound natural and make them feel more comfortable when dealing with a company’s customer service department.
- Writers and Editors: Open source text-to-speech software can be used during the writing/editing process to ensure clarity of the written word and make sure that the language is precise enough for professional work.
- Business Professionals: Open source text-to-speech software is beneficial for business professionals who need to present presentations quickly without having to memorize long passages of spoken material. It also helps reduce mistakes by allowing business professionals to review their words before presentations are given.
- Bloggers/Content Creators: Open source text-to-speech software can be used by bloggers and content creators looking for ways to add audio components into their blogs or other online content, thus making their posts more engaging for readers.
- Developers: Developers may use open source text to speech software as an affordable optionfor creating apps that make use of synthesized speech, such as virtual assistants, interactive books, education apps, etc.
How Much Does Open Source Text to Speech Software Cost?
Open source text to speech software is usually free of cost. However, depending on the platform you choose to use, there may be associated costs for additional features or services related to the text-to-speech technology. For instance, some open source platforms may charge for developers’ tools and/or for cloud hosting and storage of your audio files. Additionally, some open source projects may require donations in order to continue development or provide support services. In most cases though, the cost of using an open source text to speech software should be minimal or non-existent — allowing you a great way to produce natural sounding voices at no cost.
What Does Open Source Text to Speech Software Integrate With?
Open source text to speech software can integrate with a variety of types of software in order to create an automated voice experience for users or machines. These types of software include customer service platforms, customer relationship management (CRM) systems, web browsers, word processors, and natural language processing tools. Additionally, open source text to speech software can be integrated into voice-enabled applications such as virtual assistant services and interactive response systems. By integrating open source text to speech with these other types ofprograms, developers are able to leverage the power of automated voices in order to make the user experience more natural and efficient.
Open Source Text to Speech Software Trends
- Increased Availability: Open source text to speech software is becoming increasingly available and accessible for users, with more options for customization and personalization.
- Enhanced Quality: The quality of open source text to speech software has improved over time, with better sounding voices and more natural sounding pronunciations.
- Increased Efficiency: Open source text to speech software is becoming more efficient, with shorter response times and higher accuracy rates.
- Expanded Platforms: More platforms are offering open source text to speech software, making it easier for users to access and use the technology.
- Improved Applications: Open source text to speech software is being applied in a wider range of contexts, such as education, customer service, and other commercial endeavors.
- Greater Customization: Users have access to more features that allow for greater customization of the generated speech, such as adjusting the speed, pausing between words, adding pauses, and changing the pitch of the voice.
- Extended Language Support: More language support is being offered for open source text to speech software, allowing users to generate speech in multiple languages.
- Widening Accessibility: Open source text to speech software is becoming more accessible for people with disabilities, with options such as voice-driven menus and touchscreen interfaces.
Getting Started With Open Source Text to Speech Software
Getting started with open source text to speech software is easy and can be done in just a few steps. First, make sure you have the necessary hardware, such as a computer or mobile device with a microphone and headset for audio output. Next, select an open source text to speech software of your choice, such as eSpeak, Festival Speech Synthesis System, or MaryTTS. Once you choose the desired open source software, it’s time to install it on your device. This step will vary depending on which software you chose - some may require you to install from the command line while others offer downloadable files that can be installed directly from your browser or via specific app stores. After installation is complete, launch the program and begin using it. You’ll want to familiarize yourself with how each program works in order to get the best results out of it. Consult user guides and tutorials if needed in order to understand its capabilities. Finally, test out different commands or write some sample scripts that you wish for the program to synthesize into audible output. With enough practice, soon you’ll become accustomed to using this type of technology and take advantage of all its potential applications.
