--- title: "stt vs openwhispr" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jianchang512-stt-vs-openwhispr-openwhispr" tools: ["jianchang512-stt", "openwhispr-openwhispr"] --- # stt vs openwhispr *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 openwhispr if openWhispr is an open-source voice-to-text dictation application that features both local and cloud-based models, emphasizing privacy and cross-platform compatibility. [stt](https://pyvideotrans.com) reports 4.7k GitHub stars, 493 forks, and 100 open issues, last pushed Jan 22, 2026. [openwhispr](https://openwhispr.com) has 5.0k stars, 715 forks, and 252 open issues, last pushed Jul 30, 2026. Figures are from public GitHub metadata via [stt's repository](https://github.com/jianchang512/stt) and [openwhispr's repository](https://github.com/OpenWhispr/openwhispr). | | [stt](/tools/jianchang512-stt.md) | [openwhispr](/tools/openwhispr-openwhispr.md) | | --- | --- | --- | | Tagline | A local offline speech-to-text tool for video and audio files. | Voice-to-text dictation app with local and cloud models | | Stars | 4,712 | 5,018 | | Forks | 493 | 715 | | Open issues | 100 | 252 | | Language | Python | JavaScript | | 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. | OpenWhispr is an open-source voice-to-text dictation application that features both local and cloud-based models, emphasizing privacy and cross-platform compatibility. | | Persona | - | - | | Runtime | - | - | | License | GPL-3.0 | MIT | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [stt](/tools/jianchang512-stt.md) | [openwhispr](/tools/openwhispr-openwhispr.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 189d | 0d | | Open issues (now) | 100 | 252 | | Owner type | User | Organization | | Full report | [trust report](/tools/jianchang512-stt/trust.md) | [trust report](/tools/openwhispr-openwhispr/trust.md) | ## 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: openwhispr - **Requirements:** Min 4 GB RAM; Development and runtime environment requires Node.js version 24+.; Support for Nvidia Parakeet/Whisper models may require additional setup specific to the hardware and software configurations. - **Adopt for:** OpenWhispr is an open-source voice-to-text dictation application that features both local and cloud-based models, emphasizing privacy and cross-platform compatibility. ## Choose when ### Choose stt if… - stt is primarily Python; openwhispr is JavaScript. - License: stt is GPL-3.0, openwhispr is MIT. - Tags unique to stt: audio-processing, fast-whisper, local-processing, offline. - Use stt if you require an offline, locally-run solution where internet dependence is not acceptable. ### Choose openwhispr if… - openwhispr is primarily JavaScript; stt is Python. - License: openwhispr is MIT, stt is GPL-3.0. - Requirements: Min 4 GB RAM; Development and runtime environment requires Node.js version 24+.; Support for Nvidia Parakeet/Whisper models may require additional setup specific to the hardware and software configurations.. - Tags unique to openwhispr: ai, anthropic, cross-platform, gemini. - When you require the use of Nvidia Parakeet/Whisper models for high accuracy in a local environment without internet dependency. ## 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 openwhispr - When you have limited computational power on your device and rely heavily on cloud resources for processing voice-to-text without the overhead of managing local machine learning models. - If your application must work on platforms that are not supported by OpenWhispr, such as mobile devices or specialized operating systems. ## Common questions ### What is the difference between stt and openwhispr? stt: A local offline speech-to-text tool for video and audio files.. openwhispr: Voice-to-text dictation app with local and cloud models. See the comparison table for live GitHub stats and shared categories. ### When should I choose stt over openwhispr? Choose stt over openwhispr when stt is primarily Python; openwhispr is JavaScript; License: stt is GPL-3.0, openwhispr is MIT; Tags unique to stt: audio-processing, fast-whisper, local-processing, offline; Use stt if you require an offline, locally-run solution where internet dependence is not acceptable. ### When should I choose openwhispr over stt? Choose openwhispr over stt when openwhispr is primarily JavaScript; stt is Python; License: openwhispr is MIT, stt is GPL-3.0; Requirements: Min 4 GB RAM; Development and runtime environment requires Node.js version 24+.; Support for Nvidia Parakeet/Whisper models may require additional setup specific to the hardware and software configurations.; Tags unique to openwhispr: ai, anthropic, cross-platform, gemini; When you require the use of Nvidia Parakeet/Whisper models for high accuracy in a local environment without internet dependency. ### 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 openwhispr? When you have limited computational power on your device and rely heavily on cloud resources for processing voice-to-text without the overhead of managing local machine learning models. If your application must work on platforms that are not supported by OpenWhispr, such as mobile devices or specialized operating systems. ### Is stt or openwhispr more popular on GitHub? openwhispr has more GitHub stars (5,018 vs 4,712). Stars measure visibility, not whether either tool fits your constraints. ### Are stt and openwhispr open source? Yes - both are open-source projects on GitHub (stt: GPL-3.0, openwhispr: MIT). ### Where can I find alternatives to stt or openwhispr? GraphCanon lists graph-backed alternatives at [stt alternatives](/tools/jianchang512-stt/alternatives) and [openwhispr alternatives](/tools/openwhispr-openwhispr/alternatives) ([stt markdown twin](/tools/jianchang512-stt/alternatives.md), [openwhispr markdown twin](/tools/openwhispr-openwhispr/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-openwhispr-openwhispr.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, stt or openwhispr? stt: Slowing. openwhispr: 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 openwhispr? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [stt trust report](/tools/jianchang512-stt/trust); [openwhispr trust report](/tools/openwhispr-openwhispr/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/_