--- title: "TTS vs dia" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mozilla-tts-vs-nari-labs-dia" tools: ["mozilla-tts", "nari-labs-dia"] --- # TTS vs dia *GraphCanon updated Jul 29, 2026* ## Verdict Pick TTS if tTS is known for its deep learning capabilities in text-to-speech synthesis and supports Python versions up to 3.8; pick dia if dia is an open-weight text-to-dialogue model providing full control over scripts and voices, ideal for generating ultra-realistic dialogue. [TTS](https://github.com/mozilla/TTS) reports 10k GitHub stars, 1.3k forks, and 37 open issues, last pushed Nov 9, 2023. [dia](https://github.com/nari-labs/dia) has 19k stars, 1.7k forks, and 91 open issues, last pushed Nov 19, 2025. Figures are from public GitHub metadata via [TTS's repository](https://github.com/mozilla/TTS) and [dia's repository](https://github.com/nari-labs/dia). | | [TTS](/tools/mozilla-tts.md) | [dia](/tools/nari-labs-dia.md) | | --- | --- | --- | | Tagline | Deep learning for Text to Speech | A TTS model for generating ultra-realistic dialogue | | Stars | 10,165 | 19,361 | | Forks | 1,322 | 1,688 | | Open issues | 37 | 91 | | Language | Jupyter Notebook | Python | | Adopt for | TTS is known for its deep learning capabilities in text-to-speech synthesis and supports Python versions up to 3.8. | Dia is an open-weight text-to-dialogue model providing full control over scripts and voices, ideal for generating ultra-realistic dialogue. | | Persona | - | - | | Runtime | - | - | | License | MPL-2.0 | Apache-2.0 | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [TTS](/tools/mozilla-tts.md) | [dia](/tools/nari-labs-dia.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 992d | 251d | | Open issues (now) | 37 | 91 | | Full report | [trust report](/tools/mozilla-tts/trust.md) | [trust report](/tools/nari-labs-dia/trust.md) | ## Shared compatibility - **Python**: [TTS](/tools/mozilla-tts.md) - Python runtime; [dia](/tools/nari-labs-dia.md) - Python runtime ## Decision facts: TTS - **Adopt for:** TTS is known for its deep learning capabilities in text-to-speech synthesis and supports Python versions up to 3.8. ## Decision facts: dia - **Adopt for:** Dia is an open-weight text-to-dialogue model providing full control over scripts and voices, ideal for generating ultra-realistic dialogue. ## Choose when ### Choose TTS if… - TTS is primarily Jupyter Notebook; dia is Python. - License: TTS is MPL-2.0, dia is Apache-2.0. - Tags unique to TTS: dataset-analysis, deep-learning, gantts, glow-tts. - Use TTS when you require advanced deep learning models such as Tacotron, Tacotron2, MelGAN, and Multiband-MelGAN for high-quality voice synthesis tasks. ### Choose dia if… - dia is primarily Python; TTS is Jupyter Notebook. - License: dia is Apache-2.0, TTS is MPL-2.0. - Tags unique to dia: dialogue-generation, text-to-speech, tts. - When you require precise control over voice and script in the creation of highly realistic dialogues ## When NOT to use TTS - Avoid TTS if you require support for Python versions above 3.8 as it does not support later releases. - Do not use TTS if the only requirement is to run simple, unmodified speech synthesis tasks without training or custom development; other tools may offer easier setup. ## When NOT to use dia - If your setup lacks a GPU, as Dia has not yet added CPU support - In scenarios where immediate real-time performance is critical since the first run could be longer due to additional codec downloads ## Common questions ### What is the difference between TTS and dia? TTS: Deep learning for Text to Speech. dia: A TTS model for generating ultra-realistic dialogue. See the comparison table for live GitHub stats and shared categories. ### When should I choose TTS over dia? Choose TTS over dia when TTS is primarily Jupyter Notebook; dia is Python; License: TTS is MPL-2.0, dia is Apache-2.0; Tags unique to TTS: dataset-analysis, deep-learning, gantts, glow-tts; Use TTS when you require advanced deep learning models such as Tacotron, Tacotron2, MelGAN, and Multiband-MelGAN for high-quality voice synthesis tasks. ### When should I choose dia over TTS? Choose dia over TTS when dia is primarily Python; TTS is Jupyter Notebook; License: dia is Apache-2.0, TTS is MPL-2.0; Tags unique to dia: dialogue-generation, text-to-speech, tts; When you require precise control over voice and script in the creation of highly realistic dialogues. ### When should I avoid TTS? Avoid TTS if you require support for Python versions above 3.8 as it does not support later releases. Do not use TTS if the only requirement is to run simple, unmodified speech synthesis tasks without training or custom development; other tools may offer easier setup. ### When should I avoid dia? If your setup lacks a GPU, as Dia has not yet added CPU support In scenarios where immediate real-time performance is critical since the first run could be longer due to additional codec downloads ### Is TTS or dia more popular on GitHub? dia has more GitHub stars (19,361 vs 10,165). Stars measure visibility, not whether either tool fits your constraints. ### Are TTS and dia open source? Yes - both are open-source projects on GitHub (TTS: MPL-2.0, dia: Apache-2.0). ### Where can I find alternatives to TTS or dia? GraphCanon lists graph-backed alternatives at [TTS alternatives](/tools/mozilla-tts/alternatives) and [dia alternatives](/tools/nari-labs-dia/alternatives) ([TTS markdown twin](/tools/mozilla-tts/alternatives.md), [dia markdown twin](/tools/nari-labs-dia/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/mozilla-tts-vs-nari-labs-dia.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, TTS or dia? TTS: Dormant. dia: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for TTS and dia? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [TTS trust report](/tools/mozilla-tts/trust); [dia trust report](/tools/nari-labs-dia/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mozilla-tts`](/api/graphcanon/graph?tool=mozilla-tts) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_