--- title: "dograh vs whisper-ctranslate2" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dograh-hq-dograh-vs-softcatala-whisper-ctranslate2" tools: ["dograh-hq-dograh", "softcatala-whisper-ctranslate2"] --- # dograh vs whisper-ctranslate2 *GraphCanon updated Jul 30, 2026* ## Verdict Pick dograh if self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support; pick whisper-ctranslate2 if whisper-ctranslate2 provides a GPU-accelerated Docker-based command-line interface for Whisper speech recognition models with easy file input. [dograh](https://app.dograh.com) reports 5.1k GitHub stars, 1.2k forks, and 20 open issues, last pushed Jul 29, 2026. [whisper-ctranslate2](https://github.com/Softcatala/whisper-ctranslate2) has 1.3k stars, 128 forks, and 13 open issues, last pushed Feb 14, 2026. Figures are from public GitHub metadata via [dograh's repository](https://github.com/dograh-hq/dograh) and [whisper-ctranslate2's repository](https://github.com/Softcatala/whisper-ctranslate2). | | [dograh](/tools/dograh-hq-dograh.md) | [whisper-ctranslate2](/tools/softcatala-whisper-ctranslate2.md) | | --- | --- | --- | | Tagline | Self-hosted open source voice AI platform | Whisper command-line client compatible with original OpenAI client based on CTranslate2 | | Stars | 5,064 | 1,333 | | Forks | 1,185 | 128 | | Open issues | 20 | 13 | | Language | Python | Python | | Adopt for | Self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support | Whisper-ctranslate2 provides a GPU-accelerated Docker-based command-line interface for Whisper speech recognition models with easy file input. | | Persona | - | - | | Runtime | - | - | | License | BSD-2-Clause | MIT | | Categories | Inference & Serving, Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dograh](/tools/dograh-hq-dograh.md) | [whisper-ctranslate2](/tools/softcatala-whisper-ctranslate2.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 165d | | Open issues (now) | 20 | 13 | | Full report | [trust report](/tools/dograh-hq-dograh/trust.md) | [trust report](/tools/softcatala-whisper-ctranslate2/trust.md) | ## Decision facts: dograh - **Adopt for:** Self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support ## Decision facts: whisper-ctranslate2 - **Adopt for:** Whisper-ctranslate2 provides a GPU-accelerated Docker-based command-line interface for Whisper speech recognition models with easy file input. ## Choose when ### Choose dograh if… - License: dograh is BSD-2-Clause, whisper-ctranslate2 is MIT. - Tags unique to dograh: conversational-ai, local-llm, self-hosted, telephony. - Also covers Inference & Serving. - You need on-premise deployment for better security or data control ### Choose whisper-ctranslate2 if… - License: whisper-ctranslate2 is MIT, dograh is BSD-2-Clause. - Tags unique to whisper-ctranslate2: ctranslate2, docker, openai, speech-recognition. - whisper-ctranslate2 ships Docker support for self-hosted deployment. - Require Whisper model compatibility in a preconfigured Docker container ## When NOT to use dograh - Seeking cloud-managed services without self-hosting capabilities - Need real-time collaboration with non-local models in the cloud - Preference is for tools under different licenses than BSD-2-Clause - Must integrate with platforms that lack native telephony support ## When NOT to use whisper-ctranslate2 - Seeking non-Dockerized tool or do not want to use containers - Do not have access to a GPU and need better CPU performance options ## Common questions ### What is the difference between dograh and whisper-ctranslate2? dograh: Self-hosted open source voice AI platform. whisper-ctranslate2: Whisper command-line client compatible with original OpenAI client based on CTranslate2. See the comparison table for live GitHub stats and shared categories. ### When should I choose dograh over whisper-ctranslate2? Choose dograh over whisper-ctranslate2 when License: dograh is BSD-2-Clause, whisper-ctranslate2 is MIT; Tags unique to dograh: conversational-ai, local-llm, self-hosted, telephony; Also covers Inference & Serving; You need on-premise deployment for better security or data control. ### When should I choose whisper-ctranslate2 over dograh? Choose whisper-ctranslate2 over dograh when License: whisper-ctranslate2 is MIT, dograh is BSD-2-Clause; Tags unique to whisper-ctranslate2: ctranslate2, docker, openai, speech-recognition; whisper-ctranslate2 ships Docker support for self-hosted deployment; Require Whisper model compatibility in a preconfigured Docker container. ### When should I avoid dograh? Seeking cloud-managed services without self-hosting capabilities Need real-time collaboration with non-local models in the cloud Preference is for tools under different licenses than BSD-2-Clause Must integrate with platforms that lack native telephony support ### When should I avoid whisper-ctranslate2? Seeking non-Dockerized tool or do not want to use containers Do not have access to a GPU and need better CPU performance options ### Is dograh or whisper-ctranslate2 more popular on GitHub? dograh has more GitHub stars (5,064 vs 1,333). Stars measure visibility, not whether either tool fits your constraints. ### Are dograh and whisper-ctranslate2 open source? Yes - both are open-source projects on GitHub (dograh: BSD-2-Clause, whisper-ctranslate2: MIT). ### Where can I find alternatives to dograh or whisper-ctranslate2? GraphCanon lists graph-backed alternatives at [dograh alternatives](/tools/dograh-hq-dograh/alternatives) and [whisper-ctranslate2 alternatives](/tools/softcatala-whisper-ctranslate2/alternatives) ([dograh markdown twin](/tools/dograh-hq-dograh/alternatives.md), [whisper-ctranslate2 markdown twin](/tools/softcatala-whisper-ctranslate2/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/dograh-hq-dograh-vs-softcatala-whisper-ctranslate2.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dograh or whisper-ctranslate2? dograh: Very active. whisper-ctranslate2: 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 dograh and whisper-ctranslate2? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dograh trust report](/tools/dograh-hq-dograh/trust); [whisper-ctranslate2 trust report](/tools/softcatala-whisper-ctranslate2/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dograh-hq-dograh`](/api/graphcanon/graph?tool=dograh-hq-dograh) - 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/_