--- title: "dc_tts vs gTTS" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kyubyong-dc-tts-vs-pndurette-gtts" tools: ["kyubyong-dc-tts", "pndurette-gtts"] --- # dc_tts vs gTTS *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 gTTS if gTTS is a Python library and CLI tool that interfaces with Google Translate's text-to-speech API to convert text into speech and save it as an MP3 file. [dc_tts](https://github.com/Kyubyong/dc_tts) reports 1.2k GitHub stars, 360 forks, and 68 open issues, last pushed Apr 14, 2023. [gTTS](http://gtts.readthedocs.org/) has 2.6k stars, 390 forks, and 24 open issues, last pushed Apr 6, 2026. Figures are from public GitHub metadata via [dc_tts's repository](https://github.com/Kyubyong/dc_tts) and [gTTS's repository](https://github.com/pndurette/gTTS). | | [dc_tts](/tools/kyubyong-dc-tts.md) | [gTTS](/tools/pndurette-gtts.md) | | --- | --- | --- | | Tagline | A TensorFlow Implementation of DC-TTS | Python library and CLI tool to interface with Google Translate's text-to-speech API | | Stars | 1,159 | 2,635 | | Forks | 360 | 390 | | Open issues | 68 | 24 | | Language | Python | Python | | Adopt for | dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. | gTTS is a Python library and CLI tool that interfaces with Google Translate's text-to-speech API to convert text into speech and save it as an MP3 file. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | The MIT License (MIT), a permissive free software license originating from the X11 project. | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dc_tts](/tools/kyubyong-dc-tts.md) | [gTTS](/tools/pndurette-gtts.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 1254d | 167d | | Open issues (now) | 68 | 24 | | Stars delta | +3 (30d) | +11 (30d) | | Open issues delta | 0 (30d) | +2 (30d) | | Full report | [trust report](/tools/kyubyong-dc-tts/trust.md) | [trust report](/tools/pndurette-gtts/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: gTTS - **Pricing:** freemium - Free to use, no direct cost for using gTTS; any costs are passed on by Google in relation to usage of their API. - **Adopt for:** gTTS is a Python library and CLI tool that interfaces with Google Translate's text-to-speech API to convert text into speech and save it as an MP3 file. - **License detail:** The MIT License (MIT), a permissive free software license originating from the X11 project. ## Choose when ### Choose dc_tts if… - License: dc_tts is Apache-2.0, gTTS 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 gTTS if… - License: gTTS is MIT, dc_tts is Apache-2.0. - Pricing: Free to use, no direct cost for using gTTS; any costs are passed on by Google in relation to usage of their API.. - Tags unique to gTTS: cli, gtts, pypi, python library. - You need to generate short audio clips from text dynamically within your applications without the overhead of setting up an official cloud service. ## 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 gTTS - You require advanced customization options for voice parameters such as pitch, speed, or gender which are more granular than what gTTS can provide. - Your application has legal constraints that prevent the use of unofficial APIs, or you need features backed by official support and service-level agreements from Google Cloud Text-to-Speech. ## Common questions ### What is the difference between dc_tts and gTTS? dc_tts: A TensorFlow Implementation of DC-TTS. gTTS: Python library and CLI tool to interface with Google Translate's text-to-speech API. See the comparison table for live GitHub stats and shared categories. ### When should I choose dc_tts over gTTS? Choose dc_tts over gTTS when License: dc_tts is Apache-2.0, gTTS 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 gTTS over dc_tts? Choose gTTS over dc_tts when License: gTTS is MIT, dc_tts is Apache-2.0; Pricing: Free to use, no direct cost for using gTTS; any costs are passed on by Google in relation to usage of their API.; Tags unique to gTTS: cli, gtts, pypi, python library; You need to generate short audio clips from text dynamically within your applications without the overhead of setting up an official cloud service. ### 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 gTTS? You require advanced customization options for voice parameters such as pitch, speed, or gender which are more granular than what gTTS can provide. Your application has legal constraints that prevent the use of unofficial APIs, or you need features backed by official support and service-level agreements from Google Cloud Text-to-Speech. ### Is dc_tts or gTTS more popular on GitHub? gTTS has more GitHub stars (2,635 vs 1,159). Stars measure visibility, not whether either tool fits your constraints. ### Are dc_tts and gTTS open source? Yes - both are open-source projects on GitHub (dc_tts: Apache-2.0, gTTS: MIT). ### Where can I find alternatives to dc_tts or gTTS? GraphCanon lists graph-backed alternatives at [dc_tts alternatives](/tools/kyubyong-dc-tts/alternatives) and [gTTS alternatives](/tools/pndurette-gtts/alternatives) ([dc_tts markdown twin](/tools/kyubyong-dc-tts/alternatives.md), [gTTS markdown twin](/tools/pndurette-gtts/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-pndurette-gtts.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dc_tts or gTTS? dc_tts: Dormant. gTTS: 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 dc_tts and gTTS? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dc_tts trust report](/tools/kyubyong-dc-tts/trust); [gTTS trust report](/tools/pndurette-gtts/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/_