--- title: "whisper-diarization vs whishper" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mahmoudashraf97-whisper-diarization-vs-pluja-whishper" tools: ["mahmoudashraf97-whisper-diarization", "pluja-whishper"] --- # whisper-diarization vs whishper *GraphCanon updated Jul 30, 2026* ## Verdict Pick whisper-diarization if automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper for Python projects; pick whishper if whishper is an open-source audio transcription and subtitling suite with a web UI that supports both GPU and CPU for local transcription. [whisper-diarization](https://github.com/MahmoudAshraf97/whisper-diarization) reports 5.6k GitHub stars, 503 forks, and 41 open issues, last pushed Feb 23, 2026. [whishper](https://whishper-docs.pages.dev/) has 3.0k stars, 179 forks, and 108 open issues, last pushed Aug 15, 2025. Figures are from public GitHub metadata via [whisper-diarization's repository](https://github.com/MahmoudAshraf97/whisper-diarization) and [whishper's repository](https://github.com/pluja/whishper). | | [whisper-diarization](/tools/mahmoudashraf97-whisper-diarization.md) | [whishper](/tools/pluja-whishper.md) | | --- | --- | --- | | Tagline | Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper | Open-source local audio transcription and subtitling suite with web UI | | Stars | 5,615 | 3,048 | | Forks | 503 | 179 | | Open issues | 41 | 108 | | Language | Jupyter Notebook | Svelte | | Adopt for | Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper for Python projects | Whishper is an open-source audio transcription and subtitling suite with a web UI that supports both GPU and CPU for local transcription. | | Persona | - | - | | Runtime | - | - | | License | BSD-2-Clause | Whishper uses the AGPL-3.0 license, requiring users who modify and deploy the software in a network service to make their changes available under the same license. | | Categories | Developer Tools, Speech & Audio | Developer Tools, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [whisper-diarization](/tools/mahmoudashraf97-whisper-diarization.md) | [whishper](/tools/pluja-whishper.md) | | --- | --- | --- | | Days since push | 156d | 348d | | Open issues (now) | 41 | 108 | | Full report | [trust report](/tools/mahmoudashraf97-whisper-diarization/trust.md) | [trust report](/tools/pluja-whishper/trust.md) | ## Decision facts: whisper-diarization - **Adopt for:** Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper for Python projects - **License detail:** BSD-2-Clause ## Decision facts: whishper - **Pricing:** freemium - Free, open-source solution that does not charge for usage or require payment plans. - **Requirements:** Min 4 GB RAM; Requires Docker; Supports both GPU and CPU for processing.; NVIDIA GPU is optional. - **Adopt for:** Whishper is an open-source audio transcription and subtitling suite with a web UI that supports both GPU and CPU for local transcription. - **License detail:** Whishper uses the AGPL-3.0 license, requiring users who modify and deploy the software in a network service to make their changes available under the same license. ## Choose when ### Choose whisper-diarization if… - whisper-diarization is primarily Jupyter Notebook; whishper is Svelte. - License: whisper-diarization is BSD-2-Clause, whishper is AGPL-3.0. - Tags unique to whisper-diarization: asr, speaker-diarization, whisper. - You need advanced speech recognition capabilities paired with speaker diarization in your Python project. ### Choose whishper if… - whishper is primarily Svelte; whisper-diarization is Jupyter Notebook. - License: whishper is AGPL-3.0, whisper-diarization is BSD-2-Clause. - Pricing: Free, open-source solution that does not charge for usage or require payment plans.. - Requirements: Min 4 GB RAM; Requires Docker; Supports both GPU and CPU for processing.; NVIDIA GPU is optional.. - Tags unique to whishper: audio-to-text, golang, speech-to-text, subtitles. - whishper ships Docker support for self-hosted deployment. - When you need to transcribe media files locally without sending data to external servers, ensuring privacy. ## When NOT to use whisper-diarization - If your project is restricted to use only open-source tools under the MIT license, as whisper-diarization uses the BSD-2-Clause license. - Your environment cannot support Python 3.10 or later or you lack prerequisites such as Cython and FFMPEG installation rights. ## When NOT to use whishper - When real-time transcription accuracy outweighs local processing needs, because while faster on CPU, it may not offer the same level of immediate precision as cloud-based solutions. - If your project is resource-constrained, especially in terms of development time and effort required for setup since Whishper involves a few manual steps to start using. - When direct audio input from web browsers is necessary because this feature is pending implementation. ## Common questions ### What is the difference between whisper-diarization and whishper? whisper-diarization: Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper. whishper: Open-source local audio transcription and subtitling suite with web UI. See the comparison table for live GitHub stats and shared categories. ### When should I choose whisper-diarization over whishper? Choose whisper-diarization over whishper when whisper-diarization is primarily Jupyter Notebook; whishper is Svelte; License: whisper-diarization is BSD-2-Clause, whishper is AGPL-3.0; Tags unique to whisper-diarization: asr, speaker-diarization, whisper; You need advanced speech recognition capabilities paired with speaker diarization in your Python project. ### When should I choose whishper over whisper-diarization? Choose whishper over whisper-diarization when whishper is primarily Svelte; whisper-diarization is Jupyter Notebook; License: whishper is AGPL-3.0, whisper-diarization is BSD-2-Clause; Pricing: Free, open-source solution that does not charge for usage or require payment plans.; Requirements: Min 4 GB RAM; Requires Docker; Supports both GPU and CPU for processing.; NVIDIA GPU is optional.; Tags unique to whishper: audio-to-text, golang, speech-to-text, subtitles; whishper ships Docker support for self-hosted deployment; When you need to transcribe media files locally without sending data to external servers, ensuring privacy. ### When should I avoid whisper-diarization? If your project is restricted to use only open-source tools under the MIT license, as whisper-diarization uses the BSD-2-Clause license. Your environment cannot support Python 3.10 or later or you lack prerequisites such as Cython and FFMPEG installation rights. ### When should I avoid whishper? When real-time transcription accuracy outweighs local processing needs, because while faster on CPU, it may not offer the same level of immediate precision as cloud-based solutions. If your project is resource-constrained, especially in terms of development time and effort required for setup since Whishper involves a few manual steps to start using. When direct audio input from web browsers is necessary because this feature is pending implementation. ### Is whisper-diarization or whishper more popular on GitHub? whisper-diarization has more GitHub stars (5,615 vs 3,048). Stars measure visibility, not whether either tool fits your constraints. ### Are whisper-diarization and whishper open source? Yes - both are open-source projects on GitHub (whisper-diarization: BSD-2-Clause, whishper: AGPL-3.0). ### Where can I find alternatives to whisper-diarization or whishper? GraphCanon lists graph-backed alternatives at [whisper-diarization alternatives](/tools/mahmoudashraf97-whisper-diarization/alternatives) and [whishper alternatives](/tools/pluja-whishper/alternatives) ([whisper-diarization markdown twin](/tools/mahmoudashraf97-whisper-diarization/alternatives.md), [whishper markdown twin](/tools/pluja-whishper/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/mahmoudashraf97-whisper-diarization-vs-pluja-whishper.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, whisper-diarization or whishper? whisper-diarization: Slowing. whishper: 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 whisper-diarization and whishper? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [whisper-diarization trust report](/tools/mahmoudashraf97-whisper-diarization/trust); [whishper trust report](/tools/pluja-whishper/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mahmoudashraf97-whisper-diarization`](/api/graphcanon/graph?tool=mahmoudashraf97-whisper-diarization) - 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/_