Comparison
whisper.cpp vs whisper-ctranslate2
Verdict
Pick whisper.cpp if whisper.cpp is a C++ port of OpenAI's Whisper model, designed for speech-to-text tasks with a focus on inference. It is licensed under MIT and categorized under Speech & Audio and Inference & Serving; pick whisper-ctranslate2 if whisper-ctranslate2 is a speech-to-text tool that offers a command-line interface for Whisper models using CTranslate2, ensuring compatibility with the original OpenAI.
Markdown twin · whisper.cpp alternatives · whisper-ctranslate2 alternatives
GraphCanon updated Sep 20, 2026
15views this month
Trust & integrity
| Signal | whisper.cpp | whisper-ctranslate2 |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Slowing (215d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No published findings from this source as of 2026-09-18 As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- whisper.cpp
- C++ port of OpenAI's Whisper model for speech-to-text
- whisper-ctranslate2
- Whisper command line client compatible with original OpenAI client based on CTranslate2
Stars
- whisper.cpp
- 54k
- whisper-ctranslate2
- 1.4k
Forks
- whisper.cpp
- 6.2k
- whisper-ctranslate2
- 126
Open issues
- whisper.cpp
- 347
- whisper-ctranslate2
- 13
Language
- whisper.cpp
- C++
- whisper-ctranslate2
- Python
Adopt for
- whisper.cpp
- whisper.cpp is a C++ port of OpenAI's Whisper model, designed for speech-to-text tasks with a focus on inference. It is licensed under MIT and categorized under Speech & Audio and Inference & Serving.
- whisper-ctranslate2
- whisper-ctranslate2 is a speech-to-text tool that offers a command-line interface for Whisper models using CTranslate2, ensuring compatibility with the original OpenAI client.
Persona
- whisper.cpp
- -
- whisper-ctranslate2
- -
Runtime
- whisper.cpp
- -
- whisper-ctranslate2
- -
License
- whisper.cpp
- MIT
- whisper-ctranslate2
- MIT
Last pushed
- whisper.cpp
- Sep 18, 2026
- whisper-ctranslate2
- Feb 14, 2026
Categories
- whisper.cpp
- Inference & Serving, Speech & Audio
- whisper-ctranslate2
- Speech & Audio
Trust and health
Maintenance
- whisper.cpp
- Very active (96%)
- whisper-ctranslate2
- Slowing (36%)
Days since push
- whisper.cpp
- 0d
- whisper-ctranslate2
- 215d
Open issues (now)
- whisper.cpp
- 347
- whisper-ctranslate2
- 13
Stars delta
- whisper.cpp
- +1.2k (30d)
- whisper-ctranslate2
- +17 (30d)
Open issues delta
- whisper.cpp
- -881 (30d)
- whisper-ctranslate2
- 0 (30d)
OSV dependency advisories
- whisper.cpp
- No lockfile (source not queried)
- whisper-ctranslate2
- No published findings from this source as of 2026-09-18
Full report
- whisper.cpp
- Trust report
- whisper-ctranslate2
- Trust report
Typed relationship
Choose whisper.cpp if…
- whisper.cpp is primarily C++; whisper-ctranslate2 is Python.
- Whisper-ctranslate2 provides a Whisper command-line client using CTranslate2, which could be seen as an alternative to whisper.cpp for users interested in CTranslate2's optimizations.
- Tags unique to whisper.cpp: inference, transformer.
- Also covers Inference & Serving.
- Use whisper.cpp when you need a C++ implementation of the Whisper model for speech recognition and transcription tasks.
When NOT to use whisper.cpp
- Avoid using whisper.cpp if your project requires the full capabilities of the original Python implementation, including training or advanced model customization.
- Do not use this tool if you are working in a Python-centric environment where the overhead of integrating a C++ component outweighs the benefits.
Choose whisper-ctranslate2 if…
- whisper-ctranslate2 is primarily Python; whisper.cpp is C++.
- Whisper-ctranslate2 provides a Whisper command-line client using CTranslate2, which could be seen as an alternative to whisper.cpp for users interested in CTranslate2's optimizations.
- Tags unique to whisper-ctranslate2: ctranslate2, docker, gpu-support, openai-whisper.
- whisper-ctranslate2 ships Docker support for self-hosted deployment.
- Use whisper-ctranslate2 when you need a command-line interface for Whisper models that is compatible with the original OpenAI client and leverages CTranslate2 for performance.
When NOT to use whisper-ctranslate2
- Avoid whisper-ctranslate2 if you do not have access to a GPU and require a tool that performs well without GPU acceleration.
- Do not use whisper-ctranslate2 if you need a tool that supports models not included in the prebuilt Docker image and you cannot or do not want to create a derived Docker image or use Docker volumes.
- If your workflow does not align with Docker-based deployment, consider alternatives that do not require Docker for operation.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ggml-org/whisper.cpp) · observed Sep 20, 2026
- GitHub forks (ggml-org/whisper.cpp) · observed Sep 20, 2026
- Last push (ggml-org/whisper.cpp) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (Softcatala/whisper-ctranslate2) · observed Sep 20, 2026
- GitHub forks (Softcatala/whisper-ctranslate2) · observed Sep 20, 2026
- Last push (Softcatala/whisper-ctranslate2) · observed Feb 14, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: whisper.cpp 54k · whisper-ctranslate2 1.4k (synced Sep 20, 2026).
Common questions
- What is the difference between whisper.cpp and whisper-ctranslate2?
- whisper.cpp: C++ port of OpenAI's Whisper model for speech-to-text. 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 whisper.cpp over whisper-ctranslate2?
- Choose whisper.cpp over whisper-ctranslate2 when whisper.cpp is primarily C++; whisper-ctranslate2 is Python; Whisper-ctranslate2 provides a Whisper command-line client using CTranslate2, which could be seen as an alternative to whisper.cpp for users interested in CTranslate2's optimizations; Tags unique to whisper.cpp: inference, transformer; Also covers Inference & Serving; Use whisper.cpp when you need a C++ implementation of the Whisper model for speech recognition and transcription tasks.
- When should I choose whisper-ctranslate2 over whisper.cpp?
- Choose whisper-ctranslate2 over whisper.cpp when whisper-ctranslate2 is primarily Python; whisper.cpp is C++; Whisper-ctranslate2 provides a Whisper command-line client using CTranslate2, which could be seen as an alternative to whisper.cpp for users interested in CTranslate2's optimizations; Tags unique to whisper-ctranslate2: ctranslate2, docker, gpu-support, openai-whisper; whisper-ctranslate2 ships Docker support for self-hosted deployment; Use whisper-ctranslate2 when you need a command-line interface for Whisper models that is compatible with the original OpenAI client and leverages CTranslate2 for performance.
- When should I avoid whisper.cpp?
- Avoid using whisper.cpp if your project requires the full capabilities of the original Python implementation, including training or advanced model customization. Do not use this tool if you are working in a Python-centric environment where the overhead of integrating a C++ component outweighs the benefits.
- When should I avoid whisper-ctranslate2?
- Avoid whisper-ctranslate2 if you do not have access to a GPU and require a tool that performs well without GPU acceleration. Do not use whisper-ctranslate2 if you need a tool that supports models not included in the prebuilt Docker image and you cannot or do not want to create a derived Docker image or use Docker volumes. If your workflow does not align with Docker-based deployment, consider alternatives that do not require Docker for operation.
- Is whisper.cpp or whisper-ctranslate2 more popular on GitHub?
- whisper.cpp has more GitHub stars (53,742 vs 1,350). Stars measure visibility, not whether either tool fits your constraints.
- Are whisper.cpp and whisper-ctranslate2 open source?
- Yes - both are open-source projects on GitHub (whisper.cpp: MIT, whisper-ctranslate2: MIT).
- Where can I find alternatives to whisper.cpp or whisper-ctranslate2?
- GraphCanon lists graph-backed alternatives at whisper.cpp alternatives and whisper-ctranslate2 alternatives (whisper.cpp markdown twin, whisper-ctranslate2 markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, whisper.cpp or whisper-ctranslate2?
- whisper.cpp: 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 whisper.cpp and whisper-ctranslate2?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: whisper.cpp trust report; whisper-ctranslate2 trust report.