Comparison
whisper.cpp vs whisper-standalone-win
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-standalone-win if whisper-standalone-win is a collection of executable files for Whisper and Faster-Whisper models designed to simplify speech recognition tasks without requiring Python.
Markdown twin · whisper.cpp alternatives · whisper-standalone-win alternatives
GraphCanon updated Sep 20, 2026
15views this month
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Trust & integrity
| Signal | whisper.cpp | whisper-standalone-win |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Slowing (316d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 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-standalone-win
- Standalone executables for Whisper and Faster-Whisper speech recognition on Windows, Linux, macOS
Stars
- whisper.cpp
- 54k
- whisper-standalone-win
- 3.2k
Forks
- whisper.cpp
- 6.2k
- whisper-standalone-win
- 165
Open issues
- whisper.cpp
- 347
- whisper-standalone-win
- 10
Language
- whisper.cpp
- C++
- whisper-standalone-win
- -
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-standalone-win
- whisper-standalone-win is a collection of executable files for Whisper and Faster-Whisper models designed to simplify speech recognition tasks without requiring Python.
Persona
- whisper.cpp
- -
- whisper-standalone-win
- -
Runtime
- whisper.cpp
- -
- whisper-standalone-win
- -
License
- whisper.cpp
- MIT
- whisper-standalone-win
- -
Last pushed
- whisper.cpp
- Sep 18, 2026
- whisper-standalone-win
- Nov 7, 2025
Categories
- whisper.cpp
- Inference & Serving, Speech & Audio
- whisper-standalone-win
- Speech & Audio
Trust and health
Maintenance
- whisper.cpp
- Very active (96%)
- whisper-standalone-win
- Slowing (36%)
Days since push
- whisper.cpp
- 0d
- whisper-standalone-win
- 316d
Open issues (now)
- whisper.cpp
- 347
- whisper-standalone-win
- 10
Stars delta
- whisper.cpp
- +1.2k (30d)
- whisper-standalone-win
- +55 (30d)
Open issues delta
- whisper.cpp
- -881 (30d)
- whisper-standalone-win
- +2 (30d)
Owner type
- whisper.cpp
- Organization
- whisper-standalone-win
- User
Full report
- whisper.cpp
- Trust report
- whisper-standalone-win
- Trust report
Typed relationship
whisper.cpp alternative whisper-standalone-winBoth provide standalone executables for Whisper speech recognition, targeting different platforms and use cases.
Choose whisper.cpp if…
- Both provide standalone executables for Whisper speech recognition, targeting different platforms and use cases.
- Tags unique to whisper.cpp: inference, openai, 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-standalone-win if…
- Pricing: The basic versions are free to use. The 'Standalone Faster-Whisper-XXL Pro' offers advanced features exclusively to donators..
- Requirements: Min 8 GB RAM; Minimum RAM recommended based on the usage of not smaller than medium model for decent transcription..
- Both provide standalone executables for Whisper speech recognition, targeting different platforms and use cases.
- Tags unique to whisper-standalone-win: asr, faster-whisper, transcriber.
- When you need a no-code solution for speech-to-text transcription on Windows, Linux, or macOS.
When NOT to use whisper-standalone-win
- When your project requires real-time speech recognition capabilities, as this tool may have latency issues due to its standalone nature.
- If you require extensive customization or integration with other languages and tools that use Python APIs directly.
- In environments where GPU acceleration is critical and the overhead of automatic detection for CUDA could affect performance.
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 (Purfview/whisper-standalone-win) · observed Sep 20, 2026
- GitHub forks (Purfview/whisper-standalone-win) · observed Sep 20, 2026
- Last push (Purfview/whisper-standalone-win) · observed Nov 7, 2025
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: whisper.cpp 54k · whisper-standalone-win 3.2k (synced Sep 20, 2026).
Common questions
- What is the difference between whisper.cpp and whisper-standalone-win?
- whisper.cpp: C++ port of OpenAI's Whisper model for speech-to-text. whisper-standalone-win: Standalone executables for Whisper and Faster-Whisper speech recognition on Windows, Linux, macOS. See the comparison table for live GitHub stats and shared categories.
- When should I choose whisper.cpp over whisper-standalone-win?
- Choose whisper.cpp over whisper-standalone-win when Both provide standalone executables for Whisper speech recognition, targeting different platforms and use cases; Tags unique to whisper.cpp: inference, openai, 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-standalone-win over whisper.cpp?
- Choose whisper-standalone-win over whisper.cpp when Pricing: The basic versions are free to use. The 'Standalone Faster-Whisper-XXL Pro' offers advanced features exclusively to donators.; Requirements: Min 8 GB RAM; Minimum RAM recommended based on the usage of not smaller than medium model for decent transcription.; Both provide standalone executables for Whisper speech recognition, targeting different platforms and use cases; Tags unique to whisper-standalone-win: asr, faster-whisper, transcriber; When you need a no-code solution for speech-to-text transcription on Windows, Linux, or macOS.
- 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-standalone-win?
- When your project requires real-time speech recognition capabilities, as this tool may have latency issues due to its standalone nature. If you require extensive customization or integration with other languages and tools that use Python APIs directly. In environments where GPU acceleration is critical and the overhead of automatic detection for CUDA could affect performance.
- Is whisper.cpp or whisper-standalone-win more popular on GitHub?
- whisper.cpp has more GitHub stars (53,742 vs 3,190). Stars measure visibility, not whether either tool fits your constraints.
- Are whisper.cpp and whisper-standalone-win open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to whisper.cpp or whisper-standalone-win?
- GraphCanon lists graph-backed alternatives at whisper.cpp alternatives and whisper-standalone-win alternatives (whisper.cpp markdown twin, whisper-standalone-win 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-standalone-win?
- whisper.cpp: Very active. whisper-standalone-win: 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-standalone-win?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: whisper.cpp trust report; whisper-standalone-win trust report.