--- title: "dsnote vs chatterbox-tts-api" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mkiol-dsnote-vs-travisvn-chatterbox-tts-api" tools: ["mkiol-dsnote", "travisvn-chatterbox-tts-api"] --- # dsnote vs chatterbox-tts-api *GraphCanon updated Aug 13, 2026* ## Verdict Pick dsnote if dsnote is an offline speech-to-text and text-to-speech Linux app for note-taking, reading, and translating developed in C++ with open-source libraries under various licenses like MPL-2.0; pick chatterbox-tts-api if chatterbox-TTS-API is a locally hosted Python-based text-to-speech API with capabilities similar to ElevenLabs, offering an OpenAI-compatible interface for generating voice-cloned speech. [dsnote](https://github.com/mkiol/dsnote) reports 1.6k GitHub stars, 69 forks, and 141 open issues, last pushed Jul 25, 2026. [chatterbox-tts-api](https://chatterboxtts.com) has 666 stars, 152 forks, and 16 open issues, last pushed Dec 23, 2025. Figures are from public GitHub metadata via [dsnote's repository](https://github.com/mkiol/dsnote) and [chatterbox-tts-api's repository](https://github.com/travisvn/chatterbox-tts-api). | | [dsnote](/tools/mkiol-dsnote.md) | [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) | | --- | --- | --- | | Tagline | An offline speech-to-text and text-to-speech Linux app for note taking, reading and translating. | Local OpenAI-compatible text-to-speech API using Chatterbox | | Stars | 1,553 | 666 | | Forks | 69 | 152 | | Open issues | 141 | 16 | | Language | C++ | Python | | Adopt for | dsnote is an offline speech-to-text and text-to-speech Linux app for note-taking, reading, and translating developed in C++ with open-source libraries under various licenses like MPL-2.0. | Chatterbox-TTS-API is a locally hosted Python-based text-to-speech API with capabilities similar to ElevenLabs, offering an OpenAI-compatible interface for generating voice-cloned speech. | | Persona | - | - | | Runtime | - | - | | License | dsnote uses MPL-2.0, allowing redistribution, modification, and use in proprietary software with attribution but requires that derivative works are under the same license. | Chatterbox-TTS-API is distributed under the AGPL-3.0 license, ensuring any modifications or derivative works must be shared openly. | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dsnote](/tools/mkiol-dsnote.md) | [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 4d | 232d | | Open issues (now) | 141 | 16 | | Full report | [trust report](/tools/mkiol-dsnote/trust.md) | [trust report](/tools/travisvn-chatterbox-tts-api/trust.md) | ## Shared compatibility - **Python**: [dsnote](/tools/mkiol-dsnote.md) - Python runtime; [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) - Python runtime ## Decision facts: dsnote - **Requirements:** - Requires C++ environment setup for building from source code, including dependencies such as autoconf, automake, boost-devel, cmake, and others.; - Must be installed in a Linux desktop environment. Install through Flatpak or build from source. - **Adopt for:** dsnote is an offline speech-to-text and text-to-speech Linux app for note-taking, reading, and translating developed in C++ with open-source libraries under various licenses like MPL-2.0. - **License detail:** dsnote uses MPL-2.0, allowing redistribution, modification, and use in proprietary software with attribution but requires that derivative works are under the same license. ## Decision facts: chatterbox-tts-api - **Requirements:** Requires a local setup environment that supports CUDA for optimal performance; Docker can simplify deployment. - **Adopt for:** Chatterbox-TTS-API is a locally hosted Python-based text-to-speech API with capabilities similar to ElevenLabs, offering an OpenAI-compatible interface for generating voice-cloned speech. - **License detail:** Chatterbox-TTS-API is distributed under the AGPL-3.0 license, ensuring any modifications or derivative works must be shared openly. ## Choose when ### Choose dsnote if… - dsnote is primarily C++; chatterbox-tts-api is Python. - License: dsnote is MPL-2.0, chatterbox-tts-api is AGPL-3.0. - Requirements: - Requires C++ environment setup for building from source code, including dependencies such as autoconf, automake, boost-devel, cmake, and others.; - Must be installed in a Linux desktop environment. Install through Flatpak or build from source.. - Tags unique to dsnote: asr, machine-translation, nmt, offline. - - For users who prefer working without internet access while needing speech recognition and machine translation capabilities. ### Choose chatterbox-tts-api if… - chatterbox-tts-api is primarily Python; dsnote is C++. - License: chatterbox-tts-api is AGPL-3.0, dsnote is MPL-2.0. - Requirements: Requires a local setup environment that supports CUDA for optimal performance; Docker can simplify deployment.. - Tags unique to chatterbox-tts-api: ai, chatgpt, chatterbox, cuda. - When you need a self-hosted solution that mirrors the functionality of ElevenLabs or other proprietary TTS services and requires compatibility with existing ecosystems like Open WebUI or AnythingLLM. ## When NOT to use dsnote - - If the user's primary requirement is cloud-based services with real-time updates or extensive language databases not included in dsnote. - - For users who need a cross-platform solution since dsnote specifically supports Linux desktop environments and not Windows or Mac OS by default. ## When NOT to use chatterbox-tts-api - If you require integrations specific to ElevenLabs' proprietary voice models as Chatterbox-TTS-API, despite its capabilities, does not directly support their unique voice libraries. - For users needing a fully managed service without the complexities of local deployment and maintenance, like that offered by cloud-based TTS providers. ## Common questions ### What is the difference between dsnote and chatterbox-tts-api? dsnote: An offline speech-to-text and text-to-speech Linux app for note taking, reading and translating.. chatterbox-tts-api: Local OpenAI-compatible text-to-speech API using Chatterbox. See the comparison table for live GitHub stats and shared categories. ### When should I choose dsnote over chatterbox-tts-api? Choose dsnote over chatterbox-tts-api when dsnote is primarily C++; chatterbox-tts-api is Python; License: dsnote is MPL-2.0, chatterbox-tts-api is AGPL-3.0; Requirements: - Requires C++ environment setup for building from source code, including dependencies such as autoconf, automake, boost-devel, cmake, and others.; - Must be installed in a Linux desktop environment. Install through Flatpak or build from source.; Tags unique to dsnote: asr, machine-translation, nmt, offline; - For users who prefer working without internet access while needing speech recognition and machine translation capabilities. ### When should I choose chatterbox-tts-api over dsnote? Choose chatterbox-tts-api over dsnote when chatterbox-tts-api is primarily Python; dsnote is C++; License: chatterbox-tts-api is AGPL-3.0, dsnote is MPL-2.0; Requirements: Requires a local setup environment that supports CUDA for optimal performance; Docker can simplify deployment.; Tags unique to chatterbox-tts-api: ai, chatgpt, chatterbox, cuda; When you need a self-hosted solution that mirrors the functionality of ElevenLabs or other proprietary TTS services and requires compatibility with existing ecosystems like Open WebUI or AnythingLLM. ### When should I avoid dsnote? - If the user's primary requirement is cloud-based services with real-time updates or extensive language databases not included in dsnote. - For users who need a cross-platform solution since dsnote specifically supports Linux desktop environments and not Windows or Mac OS by default. ### When should I avoid chatterbox-tts-api? If you require integrations specific to ElevenLabs' proprietary voice models as Chatterbox-TTS-API, despite its capabilities, does not directly support their unique voice libraries. For users needing a fully managed service without the complexities of local deployment and maintenance, like that offered by cloud-based TTS providers. ### Is dsnote or chatterbox-tts-api more popular on GitHub? dsnote has more GitHub stars (1,553 vs 666). Stars measure visibility, not whether either tool fits your constraints. ### Are dsnote and chatterbox-tts-api open source? Yes - both are open-source projects on GitHub (dsnote: MPL-2.0, chatterbox-tts-api: AGPL-3.0). ### Where can I find alternatives to dsnote or chatterbox-tts-api? GraphCanon lists graph-backed alternatives at [dsnote alternatives](/tools/mkiol-dsnote/alternatives) and [chatterbox-tts-api alternatives](/tools/travisvn-chatterbox-tts-api/alternatives) ([dsnote markdown twin](/tools/mkiol-dsnote/alternatives.md), [chatterbox-tts-api markdown twin](/tools/travisvn-chatterbox-tts-api/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/mkiol-dsnote-vs-travisvn-chatterbox-tts-api.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dsnote or chatterbox-tts-api? dsnote: Very active. chatterbox-tts-api: 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 dsnote and chatterbox-tts-api? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dsnote trust report](/tools/mkiol-dsnote/trust); [chatterbox-tts-api trust report](/tools/travisvn-chatterbox-tts-api/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mkiol-dsnote`](/api/graphcanon/graph?tool=mkiol-dsnote) - 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/_