--- title: "dc_tts vs OpenVoice" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kyubyong-dc-tts-vs-myshell-ai-openvoice" tools: ["kyubyong-dc-tts", "myshell-ai-openvoice"] --- # dc_tts vs OpenVoice *GraphCanon updated Sep 20, 2026* ## Verdict Pick dc_tts if dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies; pick OpenVoice if openVoice is an instant voice cloning tool utilizing an audio foundation model for text-to-speech and zero-shot capabilities. [dc_tts](https://github.com/Kyubyong/dc_tts) reports 1.2k GitHub stars, 360 forks, and 68 open issues, last pushed Apr 14, 2023. [OpenVoice](https://research.myshell.ai/open-voice) has 38k stars, 4.2k forks, and 310 open issues, last pushed Apr 19, 2025. Figures are from public GitHub metadata via [dc_tts's repository](https://github.com/Kyubyong/dc_tts) and [OpenVoice's repository](https://github.com/myshell-ai/OpenVoice). | | [dc_tts](/tools/kyubyong-dc-tts.md) | [OpenVoice](/tools/myshell-ai-openvoice.md) | | --- | --- | --- | | Tagline | A TensorFlow Implementation of DC-TTS | Instant voice cloning using an audio foundation model | | Stars | 1,159 | 37,588 | | Forks | 360 | 4,222 | | Open issues | 68 | 310 | | Language | Python | Python | | Adopt for | dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. | OpenVoice is an instant voice cloning tool utilizing an audio foundation model for text-to-speech and zero-shot capabilities. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Available under the MIT License, allowing free use for both commercial and research purposes. | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dc_tts](/tools/kyubyong-dc-tts.md) | [OpenVoice](/tools/myshell-ai-openvoice.md) | | --- | --- | --- | | Days since push | 1254d | 518d | | Open issues (now) | 68 | 310 | | Stars delta | +3 (30d) | +544 (30d) | | Open issues delta | 0 (30d) | +3 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/kyubyong-dc-tts/trust.md) | [trust report](/tools/myshell-ai-openvoice/trust.md) | ## 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. ## Decision facts: OpenVoice - **Pricing:** freemium - As it is open-source with a permissive MIT license, usage is free. However, users may need to incur costs for compute resources when deploying scalable solutions. - **Adopt for:** OpenVoice is an instant voice cloning tool utilizing an audio foundation model for text-to-speech and zero-shot capabilities. - **License detail:** Available under the MIT License, allowing free use for both commercial and research purposes. ## Choose when ### Choose dc_tts if… - License: dc_tts is Apache-2.0, OpenVoice 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. ### Choose OpenVoice if… - License: OpenVoice is MIT, dc_tts is Apache-2.0. - Pricing: As it is open-source with a permissive MIT license, usage is free. However, users may need to incur costs for compute resources when deploying scalable solutions.. - Tags unique to OpenVoice: text-to-speech, voice-clone, zero-shot-tts. - When rapid deployment of clone voices is needed without extensive training examples required by other tools due to its zero-shot text-to-speech feature. ## When NOT to use dc_tts - Last GitHub push was Apr 14, 2023 (dormant maintenance). Validate activity before betting a new project on dc_tts. ## When NOT to use OpenVoice - If your project requires fine-tuning of voice characteristics beyond what the tool's audio foundation model offers, as other tools may be more customizable. - When dealing with niche linguistic requirements or extremely rare language models that might not be well-supported by OpenVoice’s broader focus. ## Common questions ### What is the difference between dc_tts and OpenVoice? dc_tts: A TensorFlow Implementation of DC-TTS. OpenVoice: Instant voice cloning using an audio foundation model. See the comparison table for live GitHub stats and shared categories. ### When should I choose dc_tts over OpenVoice? Choose dc_tts over OpenVoice when License: dc_tts is Apache-2.0, OpenVoice 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 choose OpenVoice over dc_tts? Choose OpenVoice over dc_tts when License: OpenVoice is MIT, dc_tts is Apache-2.0; Pricing: As it is open-source with a permissive MIT license, usage is free. However, users may need to incur costs for compute resources when deploying scalable solutions.; Tags unique to OpenVoice: text-to-speech, voice-clone, zero-shot-tts; When rapid deployment of clone voices is needed without extensive training examples required by other tools due to its zero-shot text-to-speech feature. ### When should I avoid dc_tts? Last GitHub push was Apr 14, 2023 (dormant maintenance). Validate activity before betting a new project on dc_tts. ### When should I avoid OpenVoice? If your project requires fine-tuning of voice characteristics beyond what the tool's audio foundation model offers, as other tools may be more customizable. When dealing with niche linguistic requirements or extremely rare language models that might not be well-supported by OpenVoice’s broader focus. ### Is dc_tts or OpenVoice more popular on GitHub? OpenVoice has more GitHub stars (37,588 vs 1,159). Stars measure visibility, not whether either tool fits your constraints. ### Are dc_tts and OpenVoice open source? Yes - both are open-source projects on GitHub (dc_tts: Apache-2.0, OpenVoice: MIT). ### Where can I find alternatives to dc_tts or OpenVoice? GraphCanon lists graph-backed alternatives at [dc_tts alternatives](/tools/kyubyong-dc-tts/alternatives) and [OpenVoice alternatives](/tools/myshell-ai-openvoice/alternatives) ([dc_tts markdown twin](/tools/kyubyong-dc-tts/alternatives.md), [OpenVoice markdown twin](/tools/myshell-ai-openvoice/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/kyubyong-dc-tts-vs-myshell-ai-openvoice.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dc_tts or OpenVoice? dc_tts: Dormant. OpenVoice: 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 dc_tts and OpenVoice? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dc_tts trust report](/tools/kyubyong-dc-tts/trust); [OpenVoice trust report](/tools/myshell-ai-openvoice/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kyubyong-dc-tts`](/api/graphcanon/graph?tool=kyubyong-dc-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/_