Local Text-to-Speech and Audiobook Makers

Wan2GP brings video, image, music and speech generation to your own computer, with particular attention to GPUs with limited memory. It's for creators who want several media models in one browser interface. The project builds on Wan-Video/Wan2.1.

SurfSense is an open-source NotebookLM alternative that turns documents into cited answers and editable deliverables on your computer. It's a desktop app for Windows, macOS and Linux, aimed at people working with confidential files, research or study material. You don't need an account.

Open Notebook is a self-hosted alternative to Google's NotebookLM for researchers, students, and professionals who want AI help with their own research materials. It runs locally or on your server through Docker and is open source under the MIT license. You choose which content the AI can access and which provider processes it.

Chatterbox is an MIT-licensed text-to-speech model family for developers and creators who want to generate speech on their own hardware. You can self-host it on a GPU, including in an air-gapped environment, without an account or API key. Resemble AI also offers separate managed hosting.

IndexTTS, currently IndexTTS-2.5, is a local text-to-speech system that can reproduce a speaker's voice using one reference recording. It's for people creating spoken audio and developers building speech generation into their own applications. Voice identity and emotion have separate controls, so an emotional reference can shape the delivery while a different recording supplies the voice.

Fish Speech, currently featuring Fish Audio S2 Pro, is a self-hosted text-to-speech system for creators producing narration and developers building voice applications. It combines voice cloning with control over emotion and delivery within a script. Code and model weights use the custom FISH AUDIO RESEARCH LICENSE.

VibeVoice is a family of MIT-licensed, open-source voice AI models for developers and researchers building local transcription or speech generation tools. Its speech recognition models combine transcript text with speaker labels and timestamps, so recordings retain information about who spoke and when.

Piper turns text into spoken audio on local hardware. It's an open-source, GPL-3.0 text-to-speech engine for developers building voice features, accessibility tools and self-hosted AI projects. Speech generation runs locally, giving people a way to add a voice to software they control.

Rhasspy 3 is an early developer-preview local voice assistant toolkit for developers building their own assistants or adding voice control to Home Assistant. The project is archived and no longer maintained. It keeps data on your computer unless you choose to send it elsewhere, and its speech components support languages beyond English.

OpenedAI Speech is a self-hosted text-to-speech server for developers who want local speech generation in apps built around OpenAI's speech API. The project is archived and no longer maintained. It's open source under AGPL-3.0, and it generates audio on your own hardware without an OpenAI API key.

AudioLDM 2 generates sound effects, music and speech on your own hardware. It's a Python tool for people experimenting with synthetic audio, including sound designers and researchers who want to work with pretrained models. A Gradio browser interface and command-line tools provide access to local generation; a hosted Hugging Face demo is also available.

Higgs Audio is a family of text-to-speech models from Boson AI for developers building narration and conversational audio. Higgs TTS 2 can adapt pacing and intonation to the text and generate dialogue with distinct speakers across multiple languages.

WhisperSpeech is a local text-to-speech system that uses OpenAI Whisper as the basis for generating speech. It's for developers and speech researchers who want to work with downloadable models on their own hardware. It supports voice cloning.

Zonos is an open-source text-to-speech model for people who want to generate speech and clone voices on their own hardware. It can match a speaker from a short reference recording, with controls for delivery and emotion. The code uses the Apache 2.0 license.

StyleTTS 2 is an open-source text-to-speech model for developers and speech researchers who want to generate expressive speech on their own hardware. It can choose a speaking style from the text without a reference recording, while its multispeaker model uses reference audio to reproduce a speaker's voice and delivery. The Python code uses PyTorch and carries the MIT license.

Sesame CSM is an open-source speech generation model for developers and researchers building voice applications on their own hardware. It uses text and audio inputs to generate speech, with support for conversational context and different speakers. It's a model component for applications that need spoken output.

XTTS v2 generates speech from text using a reference voice recording or a preset speaker. It runs locally through Coqui TTS and suits developers building speech into apps, as well as researchers who want to fine-tune a speech model on their own hardware.

Amuse combines AI generation with media editing in a Windows app that runs models on your own hardware. It's for people who want to create images, video, audio and text locally, then work on the results in the same application. Its editor also accepts existing local video.

CosyVoice is a local text-to-speech system for developers and researchers who want to generate speech in a reference speaker's voice, including in another language. Its zero-shot voice cloning doesn't require training a separate model for each speaker. You can run it on your own hardware or deploy it as a self-hosted service.

Parler-TTS generates speech locally, with text descriptions that control how the voice sounds. It's a Python library for developers building speech into applications and researchers who want to train or adapt a TTS model. The library uses the Apache 2.0 license and can run on CPU or CUDA GPUs, with support for Apple Silicon.

Spark-TTS is a local text-to-speech system that can copy a voice from reference audio or create a synthetic speaker with adjustable vocal traits. It's for developers and researchers building speech applications, including personalized narration, assistive technology, and language research. The Python and PyTorch code is open source under Apache 2.0.

Tortoise TTS is a local text-to-speech system for developers and creators who want speech with varied voices and natural pacing. It uses reference audio clips to guide a custom voice, with an emphasis on expressive rhythm and intonation.

Orpheus TTS is an open-source text-to-speech system for developers building voice applications or adapting speech models to their own recordings. It runs locally and uses a Llama backbone to generate speech with control over emotion and intonation. The code uses the Apache 2.0 license.

Bark is Suno's local text-to-audio model for developers and researchers who want to generate speech alongside other sounds. It can produce laughter, crying, music and background noise within its output. Its generative approach suits audio experiments, though it can depart from the supplied script and doesn't guarantee clean, studio-quality speech.

Dia is the original text-to-speech model from Nari Labs that generates a two-speaker conversation from a written script in one pass. It's for researchers and developers who want to generate English dialogue on their own hardware, with control over speaker voices and delivery. The code and model weights are available under Apache 2.0. Dia2 is a separately linked successor.

GLaDOS is a local AI voice assistant modeled on the sarcastic character from Valve's Portal games. It's for people who want a conversational companion on their own hardware, with camera awareness and connections to home automation. The Python project is open source under the MIT license and runs on Linux and Windows. macOS support is experimental.

F5-TTS is a local text-to-speech system that uses a reference recording to generate new speech in that voice without training a separate model for each speaker. It's for developers, speech researchers, and creators who want to generate voices on their own hardware. Its Python code uses MIT, while pretrained models use the noncommercial CC-BY-NC license.

Moonshine is an on-device AI toolkit for developers building voice agents and applications that listen and speak. It combines speech to text, intent recognition and text to speech in one library. Voice processing stays on the device, and you don't need an account or API keys.

MeloTTS is a Python text-to-speech library for developers who want to generate speech locally, including on machines without a dedicated GPU. It supports real-time inference on a CPU. Its language and accent choices make it relevant for applications that need spoken output across different audiences.

VideoLingo is a self-hosted video translation app for creators and educators who need bilingual subtitles or dubbed versions of their videos. It brings transcription, translation and subtitle timing into one browser interface, with dubbing as an optional output. The project is open source under Apache 2.0; a separate hosted service offers subtitle translation and dubbing.

AllTalk TTS generates speech on your own computer. The project recommends v2 for most users; the saved documentation below describes v1, built on Coqui TTS and XTTSv2 models. It's for people adding voices to AI conversations or producing spoken audio from longer texts. It runs as a standalone application or alongside Text-generation-webui, with support for Windows, Linux and macOS.

llama.rn brings llama.cpp into React Native apps so developers can run local LLM inference on iOS and Android. It's an MIT-licensed library for building AI features into a mobile app, with model processing on the device. It uses GGUF models and requires React Native's New Architecture.

Wyoming Piper connects Piper's local text-to-speech engine to Home Assistant and other clients that use the Wyoming protocol. It's for people building a voice assistant on their own hardware who need speech generation as a self-hosted service. The project is open source under the MIT license.

TTS WebUI brings local text-to-speech, music generation and audio processing into one browser interface. It's for people creating spoken audio or music, and for developers who want to add speech to a self-hosted chat app. The interface combines Gradio and React, with extensions that let you choose which audio models to use.

GPT-SoVITS is a local text-to-speech and voice cloning tool. It can generate speech from a short reference recording or fine-tune a model for a custom voice. The source code uses the MIT license.

OpenVoice is an open-source voice cloning tool that uses a short recording to reproduce a speaker's voice in generated speech. It's for developers and creators who need a recognizable voice across languages, with control over how that voice sounds. The Python project is MIT licensed for commercial use.