--- title: "audapolis vs openwhispr" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bugbakery-audapolis-vs-openwhispr-openwhispr" tools: ["bugbakery-audapolis", "openwhispr-openwhispr"] --- # audapolis vs openwhispr *GraphCanon updated Jul 30, 2026* ## Verdict Pick audapolis if audapolis is an open-source editor for spoken-word media that provides automatic transcription and a user-friendly interface, all while keeping data local; 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. [audapolis](https://github.com/bugbakery/audapolis) reports 1.9k GitHub stars, 61 forks, and 124 open issues, last pushed Jun 24, 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 [audapolis's repository](https://github.com/bugbakery/audapolis) and [openwhispr's repository](https://github.com/OpenWhispr/openwhispr). | | [audapolis](/tools/bugbakery-audapolis.md) | [openwhispr](/tools/openwhispr-openwhispr.md) | | --- | --- | --- | | Tagline | An editor for spoken-word media with automatic transcription. | Voice-to-text dictation app with local and cloud models | | Stars | 1,879 | 5,018 | | Forks | 61 | 715 | | Open issues | 124 | 252 | | Language | TypeScript | JavaScript | | Adopt for | Audapolis is an open-source editor for spoken-word media that provides automatic transcription and a user-friendly interface, all while keeping data local. | 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 | AGPL-3.0 | MIT | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [audapolis](/tools/bugbakery-audapolis.md) | [openwhispr](/tools/openwhispr-openwhispr.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 36d | 0d | | Open issues (now) | 124 | 252 | | Full report | [trust report](/tools/bugbakery-audapolis/trust.md) | [trust report](/tools/openwhispr-openwhispr/trust.md) | ## Decision facts: audapolis - **Adopt for:** Audapolis is an open-source editor for spoken-word media that provides automatic transcription and a user-friendly interface, all while keeping data local. ## 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 audapolis if… - audapolis is primarily TypeScript; openwhispr is JavaScript. - License: audapolis is AGPL-3.0, openwhispr is MIT. - Tags unique to audapolis: audio-editing, speech-to-text, transcription, video-editing. - When you need to edit spoken-word content like podcasts or audiobooks on your local machine without relying on cloud services ### Choose openwhispr if… - openwhispr is primarily JavaScript; audapolis is TypeScript. - License: openwhispr is MIT, audapolis is AGPL-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 audapolis - If you prefer using cloud-based tools that offer real-time collaboration features - When looking for specialized advanced mixing or sound engineering capabilities for complex audio productions ## 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 audapolis and openwhispr? audapolis: An editor for spoken-word media with automatic transcription.. 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 audapolis over openwhispr? Choose audapolis over openwhispr when audapolis is primarily TypeScript; openwhispr is JavaScript; License: audapolis is AGPL-3.0, openwhispr is MIT; Tags unique to audapolis: audio-editing, speech-to-text, transcription, video-editing; When you need to edit spoken-word content like podcasts or audiobooks on your local machine without relying on cloud services. ### When should I choose openwhispr over audapolis? Choose openwhispr over audapolis when openwhispr is primarily JavaScript; audapolis is TypeScript; License: openwhispr is MIT, audapolis is AGPL-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 audapolis? If you prefer using cloud-based tools that offer real-time collaboration features When looking for specialized advanced mixing or sound engineering capabilities for complex audio productions ### 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 audapolis or openwhispr more popular on GitHub? openwhispr has more GitHub stars (5,018 vs 1,879). Stars measure visibility, not whether either tool fits your constraints. ### Are audapolis and openwhispr open source? Yes - both are open-source projects on GitHub (audapolis: AGPL-3.0, openwhispr: MIT). ### Where can I find alternatives to audapolis or openwhispr? GraphCanon lists graph-backed alternatives at [audapolis alternatives](/tools/bugbakery-audapolis/alternatives) and [openwhispr alternatives](/tools/openwhispr-openwhispr/alternatives) ([audapolis markdown twin](/tools/bugbakery-audapolis/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/bugbakery-audapolis-vs-openwhispr-openwhispr.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, audapolis or openwhispr? audapolis: Steady. 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 audapolis and openwhispr? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [audapolis trust report](/tools/bugbakery-audapolis/trust); [openwhispr trust report](/tools/openwhispr-openwhispr/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=bugbakery-audapolis`](/api/graphcanon/graph?tool=bugbakery-audapolis) - 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/_