--- title: "stt vs dsnote" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jianchang512-stt-vs-mkiol-dsnote" tools: ["jianchang512-stt", "mkiol-dsnote"] --- # stt vs dsnote *GraphCanon updated Jul 30, 2026* ## Verdict Pick stt if stt is a Python-based local offline speech-to-text tool that uses fast-whipser for converting audio from video and audio files into text, including JSON, SRT subtitles, or plain text formats; 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. [stt](https://pyvideotrans.com) reports 4.7k GitHub stars, 493 forks, and 100 open issues, last pushed Jan 22, 2026. [dsnote](https://github.com/mkiol/dsnote) has 1.6k stars, 69 forks, and 141 open issues, last pushed Jul 25, 2026. Figures are from public GitHub metadata via [stt's repository](https://github.com/jianchang512/stt) and [dsnote's repository](https://github.com/mkiol/dsnote). | | [stt](/tools/jianchang512-stt.md) | [dsnote](/tools/mkiol-dsnote.md) | | --- | --- | --- | | Tagline | A local offline speech-to-text tool for video and audio files. | An offline speech-to-text and text-to-speech Linux app for note taking, reading and translating. | | Stars | 4,712 | 1,553 | | Forks | 493 | 69 | | Open issues | 100 | 141 | | Language | Python | C++ | | Adopt for | stt is a Python-based local offline speech-to-text tool that uses fast-whipser for converting audio from video and audio files into text, including JSON, SRT subtitles, or plain text formats. | 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. | | Persona | - | - | | Runtime | - | - | | License | GPL-3.0 | 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. | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [stt](/tools/jianchang512-stt.md) | [dsnote](/tools/mkiol-dsnote.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 189d | 4d | | Open issues (now) | 100 | 141 | | Full report | [trust report](/tools/jianchang512-stt/trust.md) | [trust report](/tools/mkiol-dsnote/trust.md) | ## Shared compatibility - **Python**: [stt](/tools/jianchang512-stt.md) - Python runtime; [dsnote](/tools/mkiol-dsnote.md) - Python runtime ## Decision facts: stt - **Adopt for:** stt is a Python-based local offline speech-to-text tool that uses fast-whipser for converting audio from video and audio files into text, including JSON, SRT subtitles, or plain text formats. ## 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. ## Choose when ### Choose stt if… - stt is primarily Python; dsnote is C++. - License: stt is GPL-3.0, dsnote is MPL-2.0. - Tags unique to stt: audio-processing, fast-whisper, local-processing, speech. - Use stt if you require an offline, locally-run solution where internet dependence is not acceptable. ### Choose dsnote if… - dsnote is primarily C++; stt is Python. - License: dsnote is MPL-2.0, stt is GPL-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, speech-recognition. - - For users who prefer working without internet access while needing speech recognition and machine translation capabilities. ## When NOT to use stt - Avoid using stt if your application relies on continuous updates and service improvements that are only available via web services. - Do not use stt in environments where CUDA acceleration cannot be supported, as it will limit processing speed without the GPU acceleration advantage. ## 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. ## Common questions ### What is the difference between stt and dsnote? stt: A local offline speech-to-text tool for video and audio files.. dsnote: An offline speech-to-text and text-to-speech Linux app for note taking, reading and translating.. See the comparison table for live GitHub stats and shared categories. ### When should I choose stt over dsnote? Choose stt over dsnote when stt is primarily Python; dsnote is C++; License: stt is GPL-3.0, dsnote is MPL-2.0; Tags unique to stt: audio-processing, fast-whisper, local-processing, speech; Use stt if you require an offline, locally-run solution where internet dependence is not acceptable. ### When should I choose dsnote over stt? Choose dsnote over stt when dsnote is primarily C++; stt is Python; License: dsnote is MPL-2.0, stt is GPL-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, speech-recognition; - For users who prefer working without internet access while needing speech recognition and machine translation capabilities. ### When should I avoid stt? Avoid using stt if your application relies on continuous updates and service improvements that are only available via web services. Do not use stt in environments where CUDA acceleration cannot be supported, as it will limit processing speed without the GPU acceleration advantage. ### 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. ### Is stt or dsnote more popular on GitHub? stt has more GitHub stars (4,712 vs 1,553). Stars measure visibility, not whether either tool fits your constraints. ### Are stt and dsnote open source? Yes - both are open-source projects on GitHub (stt: GPL-3.0, dsnote: MPL-2.0). ### Where can I find alternatives to stt or dsnote? GraphCanon lists graph-backed alternatives at [stt alternatives](/tools/jianchang512-stt/alternatives) and [dsnote alternatives](/tools/mkiol-dsnote/alternatives) ([stt markdown twin](/tools/jianchang512-stt/alternatives.md), [dsnote markdown twin](/tools/mkiol-dsnote/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/jianchang512-stt-vs-mkiol-dsnote.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, stt or dsnote? stt: Slowing. dsnote: Very active. 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 stt and dsnote? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [stt trust report](/tools/jianchang512-stt/trust); [dsnote trust report](/tools/mkiol-dsnote/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=jianchang512-stt`](/api/graphcanon/graph?tool=jianchang512-stt) - 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/_