--- title: "WhisperJAV vs auto-subs" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/meizhong986-whisperjav-vs-tmoroney-auto-subs" tools: ["meizhong986-whisperjav", "tmoroney-auto-subs"] --- # WhisperJAV vs auto-subs *GraphCanon updated Jul 30, 2026* ## 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. [WhisperJAV](https://github.com/meizhong986/WhisperJAV/releases/latest) reports 2.1k GitHub stars, 166 forks, and 131 open issues, last pushed May 10, 2026. [auto-subs](https://tom-moroney.com/auto-subs/) has 3.9k stars, 254 forks, and 198 open issues, last pushed Jul 30, 2026. Figures are from public GitHub metadata via [WhisperJAV's repository](https://github.com/meizhong986/WhisperJAV) and [auto-subs's repository](https://github.com/tmoroney/auto-subs). | | [WhisperJAV](/tools/meizhong986-whisperjav.md) | [auto-subs](/tools/tmoroney-auto-subs.md) | | --- | --- | --- | | Tagline | ASR/STT subtitle generator using Qwen3-ASR and Whisper | On-device subtitle generation for video editing software. | | Stars | 2,066 | 3,939 | | Forks | 166 | 254 | | Open issues | 131 | 198 | | Language | Python | TypeScript | | Adopt for | WhisperJAV employs Qwen3-ASR and Whisper for automatic speech recognition tailored specifically to JAV content, offering robust noise handling. | 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 | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | LLM Frameworks, Speech & Audio | Developer Tools, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [WhisperJAV](/tools/meizhong986-whisperjav.md) | [auto-subs](/tools/tmoroney-auto-subs.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 81d | 0d | | Open issues (now) | 131 | 198 | | Full report | [trust report](/tools/meizhong986-whisperjav/trust.md) | [trust report](/tools/tmoroney-auto-subs/trust.md) | ## Decision facts: WhisperJAV - **Pricing:** freemium - 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. - **Adopt for:** WhisperJAV employs Qwen3-ASR and Whisper for automatic speech recognition tailored specifically to JAV content, offering robust noise handling. ## Decision facts: auto-subs - **Pricing:** freemium - Freely downloadable under the MIT license but consider supporting the developer for continued improvements. - **Requirements:** Min 4 GB RAM - **Adopt for:** Auto-subs is an on-device subtitle generation tool built with TypeScript and Rust for seamless integration with DaVinci Resolve, Premiere, and After Effects. ## Choose when ### 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. ### 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 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 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. ## 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](/tools/meizhong986-whisperjav/alternatives) and [auto-subs alternatives](/tools/tmoroney-auto-subs/alternatives) ([WhisperJAV markdown twin](/tools/meizhong986-whisperjav/alternatives.md), [auto-subs markdown twin](/tools/tmoroney-auto-subs/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/meizhong986-whisperjav-vs-tmoroney-auto-subs.md) 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](/tools/meizhong986-whisperjav/trust); [auto-subs trust report](/tools/tmoroney-auto-subs/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=meizhong986-whisperjav`](/api/graphcanon/graph?tool=meizhong986-whisperjav) - 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/_