--- title: "stt vs dia2" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jianchang512-stt-vs-nari-labs-dia2" tools: ["jianchang512-stt", "nari-labs-dia2"] --- # stt vs dia2 *GraphCanon updated Jul 30, 2026* ## Verdict Pick stt when license: stt is GPL-3.0, dia2 is Apache-2.0; pick dia2 when license: dia2 is Apache-2.0, stt is GPL-3.0. [stt](https://pyvideotrans.com) reports 4.7k GitHub stars, 493 forks, and 100 open issues, last pushed Jan 22, 2026. [dia2](https://github.com/nari-labs/dia2) has 1.2k stars, 99 forks, and 5 open issues, last pushed Nov 29, 2025. Figures are from public GitHub metadata via [stt's repository](https://github.com/jianchang512/stt) and [dia2's repository](https://github.com/nari-labs/dia2). | | [stt](/tools/jianchang512-stt.md) | [dia2](/tools/nari-labs-dia2.md) | | --- | --- | --- | | Tagline | A local offline speech-to-text tool for video and audio files. | TTS model capable of streaming conversational audio in real-time. | | Stars | 4,712 | 1,160 | | Forks | 493 | 99 | | Open issues | 100 | 5 | | Language | Python | Python | | Adopt for | stt is a Python-based local offline speech-to-text tool that uses fast-whipser for converting audio from video and audio files into text, including JSON, SRT subtitles, or plain text formats. | - | | Persona | - | - | | Runtime | - | - | | License | GPL-3.0 | Apache-2.0 | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [stt](/tools/jianchang512-stt.md) | [dia2](/tools/nari-labs-dia2.md) | | --- | --- | --- | | Days since push | 189d | 243d | | Open issues (now) | 100 | 5 | | Owner type | User | Organization | | Full report | [trust report](/tools/jianchang512-stt/trust.md) | [trust report](/tools/nari-labs-dia2/trust.md) | ## Decision facts: stt - **Adopt for:** stt is a Python-based local offline speech-to-text tool that uses fast-whipser for converting audio from video and audio files into text, including JSON, SRT subtitles, or plain text formats. ## Choose when ### Choose stt if… - License: stt is GPL-3.0, dia2 is Apache-2.0. - Tags unique to stt: audio-processing, fast-whisper, local-processing, offline. - Use stt if you require an offline, locally-run solution where internet dependence is not acceptable. ### Choose dia2 if… - License: dia2 is Apache-2.0, stt is GPL-3.0. - Tags unique to dia2: open-weight, text-to-speech. - When you need real-time streaming capabilities for text-to-speech applications. ## When NOT to use stt - Avoid using stt if your application relies on continuous updates and service improvements that are only available via web services. - Do not use stt in environments where CUDA acceleration cannot be supported, as it will limit processing speed without the GPU acceleration advantage. ## When NOT to use dia2 - For projects aimed at batch processing or non-realtime TTS applications where instantaneous audio output isn't required. - If you are looking for an open-source model that does not include specific proprietary components like the Kyutai Mimi codec. ## Common questions ### What is the difference between stt and dia2? stt: A local offline speech-to-text tool for video and audio files.. dia2: TTS model capable of streaming conversational audio in real-time.. See the comparison table for live GitHub stats and shared categories. ### When should I choose stt over dia2? Choose stt over dia2 when License: stt is GPL-3.0, dia2 is Apache-2.0; Tags unique to stt: audio-processing, fast-whisper, local-processing, offline; Use stt if you require an offline, locally-run solution where internet dependence is not acceptable. ### When should I choose dia2 over stt? Choose dia2 over stt when License: dia2 is Apache-2.0, stt is GPL-3.0; Tags unique to dia2: open-weight, text-to-speech; When you need real-time streaming capabilities for text-to-speech applications. ### When should I avoid stt? Avoid using stt if your application relies on continuous updates and service improvements that are only available via web services. Do not use stt in environments where CUDA acceleration cannot be supported, as it will limit processing speed without the GPU acceleration advantage. ### When should I avoid dia2? For projects aimed at batch processing or non-realtime TTS applications where instantaneous audio output isn't required. If you are looking for an open-source model that does not include specific proprietary components like the Kyutai Mimi codec. ### Is stt or dia2 more popular on GitHub? stt has more GitHub stars (4,712 vs 1,160). Stars measure visibility, not whether either tool fits your constraints. ### Are stt and dia2 open source? Yes - both are open-source projects on GitHub (stt: GPL-3.0, dia2: Apache-2.0). ### Where can I find alternatives to stt or dia2? GraphCanon lists graph-backed alternatives at [stt alternatives](/tools/jianchang512-stt/alternatives) and [dia2 alternatives](/tools/nari-labs-dia2/alternatives) ([stt markdown twin](/tools/jianchang512-stt/alternatives.md), [dia2 markdown twin](/tools/nari-labs-dia2/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/jianchang512-stt-vs-nari-labs-dia2.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, stt or dia2? stt: Slowing. dia2: 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 stt and dia2? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [stt trust report](/tools/jianchang512-stt/trust); [dia2 trust report](/tools/nari-labs-dia2/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=jianchang512-stt`](/api/graphcanon/graph?tool=jianchang512-stt) - 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/_