Comparison
WhisperJAV vs auto-subs
Verdict
Pick WhisperJAV if whisperJAV employs Qwen3-ASR and Whisper for automatic speech recognition tailored specifically to JAV content, offering robust noise handling; pick auto-subs if auto-subs is an on-device subtitle generation tool built with TypeScript and Rust for seamless integration with DaVinci Resolve, Premiere, and After Effects.
Markdown twin · WhisperJAV alternatives · auto-subs alternatives
GraphCanon updated 3w
Trust & integrity
| Signal | WhisperJAV | auto-subs |
|---|---|---|
| Maintenance | Steady (81d since push) As of 3w · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Personal account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | No public record from this source As of 1w · openssf-scorecard@v1 |
Tagline
- WhisperJAV
- ASR/STT subtitle generator using Qwen3-ASR and Whisper
- auto-subs
- On-device subtitle generation for video editing software.
Stars
- WhisperJAV
- 2.1k
- auto-subs
- 3.9k
Forks
- WhisperJAV
- 166
- auto-subs
- 254
Open issues
- WhisperJAV
- 131
- auto-subs
- 198
Language
- WhisperJAV
- Python
- auto-subs
- TypeScript
Adopt for
- WhisperJAV
- WhisperJAV employs Qwen3-ASR and Whisper for automatic speech recognition tailored specifically to JAV content, offering robust noise handling.
- auto-subs
- Auto-subs is an on-device subtitle generation tool built with TypeScript and Rust for seamless integration with DaVinci Resolve, Premiere, and After Effects.
Persona
- WhisperJAV
- -
- auto-subs
- -
Runtime
- WhisperJAV
- -
- auto-subs
- -
License
- WhisperJAV
- MIT
- auto-subs
- MIT
Last pushed
- WhisperJAV
- May 10, 2026
- auto-subs
- Jul 30, 2026
Categories
- WhisperJAV
- LLM Frameworks, Speech & Audio
- auto-subs
- Developer Tools, Speech & Audio
Trust and health
Maintenance
- WhisperJAV
- Steady (60%)
- auto-subs
- Very active (96%)
Days since push
- WhisperJAV
- 81d
- auto-subs
- 0d
Open issues (now)
- WhisperJAV
- 131
- auto-subs
- 198
OpenSSF Scorecard
- WhisperJAV
- Not queried
- auto-subs
- No public record from this source
Full report
- WhisperJAV
- Trust report
- auto-subs
- Trust report
Choose WhisperJAV if…
- WhisperJAV is primarily Python; auto-subs 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, subtitling, ten-vad.
- 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.
Choose auto-subs if…
- auto-subs is primarily TypeScript; WhisperJAV is Python.
- Pricing: Freely downloadable under the MIT license but consider supporting the developer for continued improvements..
- Requirements: Min 4 GB RAM.
- Tags unique to auto-subs: ai, cross-platform, davinci-resolve, premiere.
- Also covers Developer Tools.
- Use Auto-subs when you need seamless subtitle integration directly within video editing software like DaVinci Resolve, Premiere, or After Effects.
When NOT to use auto-subs
- Do not use Auto-subs if the requirement is for cloud-based real-time speech-to-text functionality as it operates entirely on-device.
- Avoid using Auto-subs in environments where Python or other languages are required over TypeScript and Rust due to potential compatibility issues.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (meizhong986/WhisperJAV) · observed Jul 30, 2026
- GitHub forks (meizhong986/WhisperJAV) · observed Jul 30, 2026
- Last push (meizhong986/WhisperJAV) · observed May 10, 2026
- License file (MIT) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (tmoroney/auto-subs) · observed Jul 30, 2026
- GitHub forks (tmoroney/auto-subs) · observed Jul 30, 2026
- Last push (tmoroney/auto-subs) · observed Jul 30, 2026
- License file (MIT) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: WhisperJAV 2.1k · auto-subs 3.9k (synced Jul 30, 2026).
Common questions
- What is the difference between WhisperJAV and auto-subs?
- WhisperJAV: ASR/STT subtitle generator using Qwen3-ASR and Whisper. auto-subs: On-device subtitle generation for video editing software.. See the comparison table for live GitHub stats and shared categories.
- When should I choose WhisperJAV over auto-subs?
- Choose WhisperJAV over auto-subs when WhisperJAV is primarily Python; auto-subs 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, subtitling, ten-vad; Also covers LLM Frameworks; When you need specialized noise-robust subtitling specifically designed for JAV content.
- When should I choose auto-subs over WhisperJAV?
- Choose auto-subs over WhisperJAV when auto-subs is primarily TypeScript; WhisperJAV is Python; Pricing: Freely downloadable under the MIT license but consider supporting the developer for continued improvements.; Requirements: Min 4 GB RAM; Tags unique to auto-subs: ai, cross-platform, davinci-resolve, premiere; Also covers Developer Tools; Use Auto-subs when you need seamless subtitle integration directly within video editing software like DaVinci Resolve, Premiere, or After Effects.
- 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.
- When should I avoid auto-subs?
- Do not use Auto-subs if the requirement is for cloud-based real-time speech-to-text functionality as it operates entirely on-device. Avoid using Auto-subs in environments where Python or other languages are required over TypeScript and Rust due to potential compatibility issues.
- Is WhisperJAV or auto-subs more popular on GitHub?
- auto-subs has more GitHub stars (3,939 vs 2,066). Stars measure visibility, not whether either tool fits your constraints.
- Are WhisperJAV and auto-subs open source?
- Yes - both are open-source projects on GitHub (WhisperJAV: MIT, auto-subs: MIT).
- Where can I find alternatives to WhisperJAV or auto-subs?
- GraphCanon lists graph-backed alternatives at WhisperJAV alternatives and auto-subs alternatives (WhisperJAV markdown twin, auto-subs 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, WhisperJAV or auto-subs?
- WhisperJAV: Steady. auto-subs: 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 WhisperJAV and auto-subs?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: WhisperJAV trust report; auto-subs trust report.