--- title: "Genie-TTS vs dc_tts" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/high-logic-genie-tts-vs-kyubyong-dc-tts" tools: ["high-logic-genie-tts", "kyubyong-dc-tts"] --- # Genie-TTS vs dc_tts *GraphCanon updated Jul 30, 2026* ## Verdict Pick Genie-TTS if genie-TTS is distinct in its focus on GPT-SoVITS and the ONNX format for text-to-speech applications; pick dc_tts if dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. [Genie-TTS](https://github.com/High-Logic/Genie-TTS) reports 1.7k GitHub stars, 117 forks, and 33 open issues, last pushed Apr 18, 2026. [dc_tts](https://github.com/Kyubyong/dc_tts) has 1.2k stars, 360 forks, and 68 open issues, last pushed Apr 14, 2023. Figures are from public GitHub metadata via [Genie-TTS's repository](https://github.com/High-Logic/Genie-TTS) and [dc_tts's repository](https://github.com/Kyubyong/dc_tts). | | [Genie-TTS](/tools/high-logic-genie-tts.md) | [dc_tts](/tools/kyubyong-dc-tts.md) | | --- | --- | --- | | Tagline | GPT-SoVITS ONNX Inference Engine & Model Converter | A TensorFlow Implementation of DC-TTS | | Stars | 1,677 | 1,156 | | Forks | 117 | 360 | | Open issues | 33 | 68 | | Language | Python | Python | | Adopt for | Genie-TTS is distinct in its focus on GPT-SoVITS and the ONNX format for text-to-speech applications. | dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Genie-TTS](/tools/high-logic-genie-tts.md) | [dc_tts](/tools/kyubyong-dc-tts.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 102d | 1203d | | Open issues (now) | 33 | 68 | | Full report | [trust report](/tools/high-logic-genie-tts/trust.md) | [trust report](/tools/kyubyong-dc-tts/trust.md) | ## Decision facts: Genie-TTS - **Adopt for:** Genie-TTS is distinct in its focus on GPT-SoVITS and the ONNX format for text-to-speech applications. ## Decision facts: dc_tts - **Requirements:** Depends on TensorFlow >=1.3 and has compatibility issues with updated APIs for `tf.contrib.layers.layer_norm`.; Requires Python packages like NumPy, librosa, tqdm, matplotlib, and scipy. - **Adopt for:** dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. ## Choose when ### Choose Genie-TTS if… - License: Genie-TTS is MIT, dc_tts is Apache-2.0. - Tags unique to Genie-TTS: gpt-sovits, text-to-speech, vits, voice-clone. - When you require voice cloning features compatible with GPT-SoVITS models. ### Choose dc_tts if… - License: dc_tts is Apache-2.0, Genie-TTS is MIT. - Requirements: Depends on TensorFlow >=1.3 and has compatibility issues with updated APIs for `tf.contrib.layers.layer_norm`.; Requires Python packages like NumPy, librosa, tqdm, matplotlib, and scipy.. - Tags unique to dc_tts: speech, speech-to-text, tensorflow. - dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. ## When NOT to use Genie-TTS - If your application demands support for text-to-speech models that are not based on GPT-SoVITS. - When a comprehensive feature set of tools beyond voice cloning or model conversion is required, Genie-TTS might offer limited functionality compared to more extensive TTS frameworks. ## When NOT to use dc_tts - Last GitHub push was 1229 days ago (dormant maintenance, Apr 14, 2023). Validate activity before betting a new project on dc_tts. ## Common questions ### What is the difference between Genie-TTS and dc_tts? Genie-TTS: GPT-SoVITS ONNX Inference Engine & Model Converter. dc_tts: A TensorFlow Implementation of DC-TTS. See the comparison table for live GitHub stats and shared categories. ### When should I choose Genie-TTS over dc_tts? Choose Genie-TTS over dc_tts when License: Genie-TTS is MIT, dc_tts is Apache-2.0; Tags unique to Genie-TTS: gpt-sovits, text-to-speech, vits, voice-clone; When you require voice cloning features compatible with GPT-SoVITS models. ### When should I choose dc_tts over Genie-TTS? Choose dc_tts over Genie-TTS when License: dc_tts is Apache-2.0, Genie-TTS is MIT; Requirements: Depends on TensorFlow >=1.3 and has compatibility issues with updated APIs for `tf.contrib.layers.layer_norm`.; Requires Python packages like NumPy, librosa, tqdm, matplotlib, and scipy.; Tags unique to dc_tts: speech, speech-to-text, tensorflow; dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. ### When should I avoid Genie-TTS? If your application demands support for text-to-speech models that are not based on GPT-SoVITS. When a comprehensive feature set of tools beyond voice cloning or model conversion is required, Genie-TTS might offer limited functionality compared to more extensive TTS frameworks. ### When should I avoid dc_tts? Last GitHub push was 1229 days ago (dormant maintenance, Apr 14, 2023). Validate activity before betting a new project on dc_tts. ### Is Genie-TTS or dc_tts more popular on GitHub? Genie-TTS has more GitHub stars (1,677 vs 1,156). Stars measure visibility, not whether either tool fits your constraints. ### Are Genie-TTS and dc_tts open source? Yes - both are open-source projects on GitHub (Genie-TTS: MIT, dc_tts: Apache-2.0). ### Where can I find alternatives to Genie-TTS or dc_tts? GraphCanon lists graph-backed alternatives at [Genie-TTS alternatives](/tools/high-logic-genie-tts/alternatives) and [dc_tts alternatives](/tools/kyubyong-dc-tts/alternatives) ([Genie-TTS markdown twin](/tools/high-logic-genie-tts/alternatives.md), [dc_tts markdown twin](/tools/kyubyong-dc-tts/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/high-logic-genie-tts-vs-kyubyong-dc-tts.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Genie-TTS or dc_tts? Genie-TTS: Slowing. dc_tts: Dormant. 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 Genie-TTS and dc_tts? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Genie-TTS trust report](/tools/high-logic-genie-tts/trust); [dc_tts trust report](/tools/kyubyong-dc-tts/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=high-logic-genie-tts`](/api/graphcanon/graph?tool=high-logic-genie-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/_