--- title: "dc_tts vs pyttsx3" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kyubyong-dc-tts-vs-nateshmbhat-pyttsx3" tools: ["kyubyong-dc-tts", "nateshmbhat-pyttsx3"] --- # dc_tts vs pyttsx3 *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 pyttsx3 if pyttsx3 is an offline text-to-speech library for Python applications that can convert written text into spoken words without internet access. [dc_tts](https://github.com/Kyubyong/dc_tts) reports 1.2k GitHub stars, 360 forks, and 68 open issues, last pushed Apr 14, 2023. [pyttsx3](https://github.com/nateshmbhat/pyttsx3) has 2.5k stars, 360 forks, and 90 open issues, last pushed Jul 22, 2026. Figures are from public GitHub metadata via [dc_tts's repository](https://github.com/Kyubyong/dc_tts) and [pyttsx3's repository](https://github.com/nateshmbhat/pyttsx3). | | [dc_tts](/tools/kyubyong-dc-tts.md) | [pyttsx3](/tools/nateshmbhat-pyttsx3.md) | | --- | --- | --- | | Tagline | A TensorFlow Implementation of DC-TTS | Offline Text To Speech synthesis for python | | Stars | 1,159 | 2,534 | | Forks | 360 | 360 | | Open issues | 68 | 90 | | Language | Python | Python | | Adopt for | dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. | pyttsx3 is an offline text-to-speech library for Python applications that can convert written text into spoken words without internet access. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Licensed under the Mozilla Public License (MPL-2.0), allowing for both free and proprietary software usage. | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dc_tts](/tools/kyubyong-dc-tts.md) | [pyttsx3](/tools/nateshmbhat-pyttsx3.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 1254d | 60d | | Open issues (now) | 68 | 90 | | Stars delta | +3 (30d) | +11 (30d) | | Full report | [trust report](/tools/kyubyong-dc-tts/trust.md) | [trust report](/tools/nateshmbhat-pyttsx3/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: pyttsx3 - **Requirements:** Ensure that wheel is upgraded to avoid installation errors.; On macOS, install pyobjc version >=9.0.1 as a dependency. - **Adopt for:** pyttsx3 is an offline text-to-speech library for Python applications that can convert written text into spoken words without internet access. - **License detail:** Licensed under the Mozilla Public License (MPL-2.0), allowing for both free and proprietary software usage. ## Choose when ### Choose dc_tts if… - License: dc_tts is Apache-2.0, pyttsx3 is MPL-2.0. - 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, tts. - dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. ### Choose pyttsx3 if… - License: pyttsx3 is MPL-2.0, dc_tts is Apache-2.0. - Requirements: Ensure that wheel is upgraded to avoid installation errors.; On macOS, install pyobjc version >=9.0.1 as a dependency.. - Tags unique to pyttsx3: offline-tts, python, speech-synthesis, text-to-speech. - Use pyttsx3 when you need to implement speech functionality in a Python application and have limited or unreliable internet access, since it operates completely offline. ## 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 pyttsx3 - Avoid using pyttsx3 if you require a wide range of voice options or natural speech synthesis quality, as it relies on built-in operating system voices which may not meet all project requirements. - Do not use pyttsx3 in projects where high-fidelity sound output is critical, such as professional audio applications, given its focus on ease of use rather than advanced speech functionality. ## Common questions ### What is the difference between dc_tts and pyttsx3? dc_tts: A TensorFlow Implementation of DC-TTS. pyttsx3: Offline Text To Speech synthesis for python. See the comparison table for live GitHub stats and shared categories. ### When should I choose dc_tts over pyttsx3? Choose dc_tts over pyttsx3 when License: dc_tts is Apache-2.0, pyttsx3 is MPL-2.0; 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, tts; dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. ### When should I choose pyttsx3 over dc_tts? Choose pyttsx3 over dc_tts when License: pyttsx3 is MPL-2.0, dc_tts is Apache-2.0; Requirements: Ensure that wheel is upgraded to avoid installation errors.; On macOS, install pyobjc version >=9.0.1 as a dependency.; Tags unique to pyttsx3: offline-tts, python, speech-synthesis, text-to-speech; Use pyttsx3 when you need to implement speech functionality in a Python application and have limited or unreliable internet access, since it operates completely offline. ### 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 pyttsx3? Avoid using pyttsx3 if you require a wide range of voice options or natural speech synthesis quality, as it relies on built-in operating system voices which may not meet all project requirements. Do not use pyttsx3 in projects where high-fidelity sound output is critical, such as professional audio applications, given its focus on ease of use rather than advanced speech functionality. ### Is dc_tts or pyttsx3 more popular on GitHub? pyttsx3 has more GitHub stars (2,534 vs 1,159). Stars measure visibility, not whether either tool fits your constraints. ### Are dc_tts and pyttsx3 open source? Yes - both are open-source projects on GitHub (dc_tts: Apache-2.0, pyttsx3: MPL-2.0). ### Where can I find alternatives to dc_tts or pyttsx3? GraphCanon lists graph-backed alternatives at [dc_tts alternatives](/tools/kyubyong-dc-tts/alternatives) and [pyttsx3 alternatives](/tools/nateshmbhat-pyttsx3/alternatives) ([dc_tts markdown twin](/tools/kyubyong-dc-tts/alternatives.md), [pyttsx3 markdown twin](/tools/nateshmbhat-pyttsx3/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-nateshmbhat-pyttsx3.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dc_tts or pyttsx3? dc_tts: Dormant. pyttsx3: Steady. 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 pyttsx3? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dc_tts trust report](/tools/kyubyong-dc-tts/trust); [pyttsx3 trust report](/tools/nateshmbhat-pyttsx3/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/_