Compare the Top Text to Speech Software that integrates with GitHub as of July 2025

This a list of Text to Speech software that integrates with GitHub. Use the filters on the left to add additional filters for products that have integrations with GitHub. View the products that work with GitHub in the table below.

What is Text to Speech Software for GitHub?

Text to speech software is a type of software that enables users to input text which is then converted into a synthetic voiced output. This software can be used in different applications such as in communication, in education, and for accessibility purposes. Text to speech software also provides the option to customize the voice and speed of spoken words according to preferences, making it more effective for individual users. It has become increasingly popular due to its ease of use and effectiveness in both professional and personal settings. Compare and read user reviews of the best Text to Speech software for GitHub currently available using the table below. This list is updated regularly.

  • 1
    Zyphra Zonos
    Zyphra is excited to announce the release of Zonos-v0.1 beta, featuring two expressive and real-time text-to-speech models with high-fidelity voice cloning. We are releasing our 1.6B transformer and 1.6B hybrid under an Apache 2.0 license. It is difficult to quantitatively measure quality in the audio domain; we find that Zonos’ generation quality matches or exceeds that of leading proprietary TTS model providers. Further, we believe that openly releasing models of this caliber will significantly advance TTS research. Zonos model weights are available on Huggingface, and sample inference code for the models is available on our GitHub. You can also access Zonos through our model playground and API with simple and competitive flat-rate pricing. We have found that quantitative evaluations struggle to measure the quality of outputs in the audio domain, so for demonstration, we present a number of samples of Zonos vs both proprietary models.
    Starting Price: $0.02 per minute
  • 2
    Orpheus TTS

    Orpheus TTS

    Canopy Labs

    Canopy Labs has introduced Orpheus, a family of state-of-the-art speech large language models (LLMs) designed for human-level speech generation. These models are built on the Llama-3 architecture and are trained on over 100,000 hours of English speech data, enabling them to produce natural intonation, emotion, and rhythm that surpasses current state-of-the-art closed source models. Orpheus supports zero-shot voice cloning, allowing users to replicate voices without prior fine-tuning, and offers guided emotion and intonation control through simple tags. The models achieve low latency, with approximately 200ms streaming latency for real-time applications, reducible to around 100ms with input streaming. Canopy Labs has released both pre-trained and fine-tuned 3B-parameter models under the permissive Apache 2.0 license, with plans to release smaller models of 1B, 400M, and 150M parameters for use on resource-constrained devices.
  • 3
    Chirp 3

    Chirp 3

    Google

    ​Google Cloud's Text-to-Speech API introduces Chirp 3, enabling users to create personalized voice models using their own high-quality audio recordings. This feature facilitates the rapid generation of custom voices, which can be utilized to synthesize audio through the Cloud Text-to-Speech API, supporting both streaming and long-form text. Access to this voice cloning capability is restricted to allow-listed users due to safety considerations; interested parties should contact the sales team to be added to the allowed list. Instant Custom Voice creation and synthesis are supported in various languages, including English (US), Spanish (US), and French (Canada), among others. It is available in multiple Google Cloud regions, and supported output formats include LINEAR16, OGG_OPUS, PCM, ALAW, MULAW, and MP3, depending on the API method used.
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