Comparison
SmartSub vs WhisperJAV
Verdict
Pick SmartSub if smartSub is a desktop application for subtitling tasks like transcription, translation, proofreading, and subtitle burn-in with local-first processing and GPU acceleration; pick WhisperJAV if whisperJAV employs Qwen3-ASR and Whisper for automatic speech recognition tailored specifically to JAV content, offering robust noise handling.
Markdown twin · SmartSub alternatives · WhisperJAV alternatives
GraphCanon updated Aug 30, 2026
9views this month
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Trust & integrity
| Signal | SmartSub | WhisperJAV |
|---|---|---|
| Maintenance | Very active (3d since push) As of Aug 14, 2026 · github_public_v1 | Active (7d since push) As of Aug 30, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Aug 14, 2026 · github_public_v1 | Not a fork · Personal account As of Aug 30, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 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
- SmartSub
- A desktop subtitle tool supporting ASR and translation
- WhisperJAV
- ASR/STT subtitle generator using Qwen3-ASR and Whisper
Stars
- SmartSub
- 4.6k
- WhisperJAV
- 2.2k
Forks
- SmartSub
- 335
- WhisperJAV
- 183
Open issues
- SmartSub
- 43
- WhisperJAV
- 141
Language
- SmartSub
- TypeScript
- WhisperJAV
- Python
Adopt for
- SmartSub
- SmartSub is a desktop application for subtitling tasks like transcription, translation, proofreading, and subtitle burn-in with local-first processing and GPU acceleration.
- WhisperJAV
- WhisperJAV employs Qwen3-ASR and Whisper for automatic speech recognition tailored specifically to JAV content, offering robust noise handling.
Persona
- SmartSub
- -
- WhisperJAV
- -
Runtime
- SmartSub
- -
- WhisperJAV
- -
License
- SmartSub
- MIT
- WhisperJAV
- MIT
Last pushed
- SmartSub
- Aug 10, 2026
- WhisperJAV
- Aug 22, 2026
Categories
- SmartSub
- Speech & Audio
- WhisperJAV
- LLM Frameworks, Speech & Audio
Trust and health
Maintenance
- SmartSub
- Very active (96%)
- WhisperJAV
- Active (82%)
Days since push
- SmartSub
- 3d
- WhisperJAV
- 7d
Open issues (now)
- SmartSub
- 43
- WhisperJAV
- 141
Stars delta
- SmartSub
- Unknown
- WhisperJAV
- +114 (30d)
Open issues delta
- SmartSub
- Unknown
- WhisperJAV
- +10 (30d)
Full report
- SmartSub
- Trust report
- WhisperJAV
- Trust report
Choose SmartSub if…
- SmartSub is primarily TypeScript; WhisperJAV is Python.
- Tags unique to SmartSub: asr, gpu acceleration, subtitle, transcription.
- Need multi-engine ASR support including both local and online services
When NOT to use SmartSub
- Looking for mobile app capabilities instead of desktop application support
- Do not need the complexity of multiple engines or advanced GPU acceleration configurations
Choose WhisperJAV if…
- WhisperJAV is primarily Python; SmartSub is TypeScript.
- Pricing: The tool itself is free under MIT license, but users may incur costs related to required hardware, especially if using it extensively with high-performance GPU setups..
- Requirements: Min 8 GB RAM; Operating systems supported are Windows 10+, macOS 11+, and Ubuntu 20.04+.; Requires Python version between 3.10 and 3.12; recommended Python versions vary by platform but generally aim for the latest within this range..
- Tags unique to WhisperJAV: noise-robustness, qwen3-asr, speech-to-text, subtitling.
- Also covers LLM Frameworks.
- When you need specialized noise-robust subtitling specifically designed for JAV content.
When NOT to use WhisperJAV
- Avoid if you are working on non-JAV content which does not benefit from specific noise handling optimized for JAV.
- Not suitable if your project is solely focused on real-time ASR without the need for extensive offline processing and noise correction provided by WhisperJAV.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (buxuku/SmartSub) · observed Aug 14, 2026
- GitHub forks (buxuku/SmartSub) · observed Aug 14, 2026
- Last push (buxuku/SmartSub) · observed Aug 10, 2026
- License file (MIT) · observed Aug 14, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (meizhong986/WhisperJAV) · observed Aug 30, 2026
- GitHub forks (meizhong986/WhisperJAV) · observed Aug 30, 2026
- Last push (meizhong986/WhisperJAV) · observed Aug 22, 2026
- License file (MIT) · observed Aug 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: SmartSub 4.6k · WhisperJAV 2.2k (synced Aug 14, 2026).
Common questions
- What is the difference between SmartSub and WhisperJAV?
- SmartSub: A desktop subtitle tool supporting ASR and translation. WhisperJAV: ASR/STT subtitle generator using Qwen3-ASR and Whisper. See the comparison table for live GitHub stats and shared categories.
- When should I choose SmartSub over WhisperJAV?
- Choose SmartSub over WhisperJAV when SmartSub is primarily TypeScript; WhisperJAV is Python; Tags unique to SmartSub: asr, gpu acceleration, subtitle, transcription; Need multi-engine ASR support including both local and online services.
- When should I choose WhisperJAV over SmartSub?
- Choose WhisperJAV over SmartSub when WhisperJAV is primarily Python; SmartSub is TypeScript; Pricing: The tool itself is free under MIT license, but users may incur costs related to required hardware, especially if using it extensively with high-performance GPU setups.; Requirements: Min 8 GB RAM; Operating systems supported are Windows 10+, macOS 11+, and Ubuntu 20.04+.; Requires Python version between 3.10 and 3.12; recommended Python versions vary by platform but generally aim for the latest within this range.; Tags unique to WhisperJAV: noise-robustness, qwen3-asr, speech-to-text, subtitling; Also covers LLM Frameworks; When you need specialized noise-robust subtitling specifically designed for JAV content.
- When should I avoid SmartSub?
- Looking for mobile app capabilities instead of desktop application support Do not need the complexity of multiple engines or advanced GPU acceleration configurations
- When should I avoid WhisperJAV?
- Avoid if you are working on non-JAV content which does not benefit from specific noise handling optimized for JAV. Not suitable if your project is solely focused on real-time ASR without the need for extensive offline processing and noise correction provided by WhisperJAV.
- Is SmartSub or WhisperJAV more popular on GitHub?
- SmartSub has more GitHub stars (4,624 vs 2,180). Stars measure visibility, not whether either tool fits your constraints.
- Are SmartSub and WhisperJAV open source?
- Yes - both are open-source projects on GitHub (SmartSub: MIT, WhisperJAV: MIT).
- Where can I find alternatives to SmartSub or WhisperJAV?
- GraphCanon lists graph-backed alternatives at SmartSub alternatives and WhisperJAV alternatives (SmartSub markdown twin, WhisperJAV 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, SmartSub or WhisperJAV?
- SmartSub: Very active. WhisperJAV: 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 SmartSub and WhisperJAV?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: SmartSub trust report; WhisperJAV trust report.