{"data":{"slug":"meizhong986-whisperjav","name":"WhisperJAV","tagline":"ASR/STT subtitle generator using Qwen3-ASR and Whisper","github_url":"https://github.com/meizhong986/WhisperJAV","owner":"meizhong986","repo":"WhisperJAV","owner_avatar_url":"https://avatars.githubusercontent.com/u/148393222?v=4","primary_language":"Python","stars":2258,"forks":188,"topics":["aitranslate","hallucination","japanese","llm","modelscope","qwen3","qwen3-asr","speech-to-text","speechenhancement","subtitling","ten-vad","whisper","zipformer"],"archived":false,"github_pushed_at":"2026-09-17T18:50:01+00:00","maintenance_label":"Very active","stars_delta_30d":192,"url":"https://www.graphcanon.com/tools/meizhong986-whisperjav","markdown_url":"https://www.graphcanon.com/tools/meizhong986-whisperjav.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/meizhong986-whisperjav","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=meizhong986-whisperjav","description":"ASR/STT subtitle generator. Uses Qwen3-ASR, local LLM, Whisper, TEN-VAD. Noise-robust for JAV","homepage_url":"https://github.com/meizhong986/WhisperJAV/releases/latest","license":"MIT","open_issues":155,"watchers":10,"ai_summary":"WhisperJAV uses Qwen3-ASR, local LLMs, and Whisper for noise-robust subtitling of JAV content.","readme_excerpt":"## Quick start\n\n**GUI** (recommended): launch **WhisperJAV** from the desktop shortcut (Windows installer) or run:\n\n```bash\nwhisperjav-gui\n```\n\nAdd files, pick a mode, click Start. Subtitles land next to your video as `.srt`.\n\n**Command line:**\n\n```bash\nwhisperjav video.mp4                                        # defaults\nwhisperjav video.mp4 --mode balanced --sensitivity aggressive\nwhisperjav /path/to/folder --output-dir ./subtitles         # whole folder\n```\n\nAny input FFmpeg can read works: MP4, MKV, AVI, WMV, MP3, WAV, FLAC, and so on. Output is SRT (default), WebVTT, or both (`--output-format both`).\n\n---\n\n---\n\n## Installation\n\n> **Already installed?** Upgrade with `whisperjav-upgrade` (all platforms). Rollback is available: `whisperjav-upgrade --rollback`.\n\n---\n\n### System requirements\n\n| | Minimum | Recommended |\n|---|---|---|\n| OS | Windows 10 / macOS 11 / Ubuntu 20.04 | Windows 11 / macOS 14 / Ubuntu 22.04 |\n| Python (source installs) | 3.10 | 3.11 |\n| RAM | 8 GB | 16 GB |\n| Disk | 8 GB | 15 GB with models |\n| GPU | none (CPU works, slowly) | NVIDIA RTX 2060+ or Apple Silicon |\n\nRough speed per hour of video: **RTX GPU** 5–10 min · **Apple Silicon** 8–15 min · **CPU** 30–60 min.","github_created_at":"2023-10-18T20:37:14+00:00","created_at":"2026-07-11T12:18:06.436031+00:00","updated_at":"2026-09-20T07:20:09.3185+00:00","categories":[{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"},{"slug":"speech-audio","name":"Speech & Audio","url":"https://www.graphcanon.com/categories/speech-audio","markdown_url":"https://www.graphcanon.com/categories/speech-audio.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/speech-audio"}],"tags":[{"slug":"noise-robustness","name":"noise-robustness"},{"slug":"qwen3-asr","name":"qwen3-asr"},{"slug":"speech-to-text","name":"speech-to-text"},{"slug":"subtitling","name":"subtitling"},{"slug":"ten-vad","name":"ten-vad"},{"slug":"whisper","name":"whisper"}],"trust":{"provenance":{"is_fork":false,"github_id":706895820,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-20T07:20:06.982Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":3,"days_since_push":2,"last_release_at":"2026-09-17T20:11:30Z","stars_delta_30d":192,"open_issues_delta_30d":24},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T12:18:11.691Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-20T07:20:08.010Z"},"has_cli":{"value":true,"source":"pyproject.toml:[project.scripts]","observed_at":"2026-09-20T07:20:08.010Z"},"languages":{"value":["python"],"source":"github.language+pyproject.toml","observed_at":"2026-09-20T07:20:08.010Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-09-20T07:20:08.010Z"}},"decision_facts":{"hosting":null,"pricing":{"model":"freemium","summary":"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":{"notes":["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."],"min_ram_gb":8,"requires_docker":false},"constraints":{"min_ram_gb":8,"pricing_model":"freemium","requires_docker":false},"when_to_use":["When you need specialized noise-robust subtitling specifically designed for JAV content.","For users who require the integration of local language models (LLMs) with ASR functionalities.","If your project requires the use of Qwen3-ASR, Whisper, and TEN-VAD for high-quality speech-to-text conversion."],"when_not_to_use":["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."],"source":"enrich:decision_facts","observed_at":"2026-07-17T02:06:17.379Z"},"constraint_facets":{"min_ram_gb":8,"pricing_model":"freemium","requires_docker":false},"decision_summary":[{"label":"Pricing","value":"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."},{"label":"Requirements","value":"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."},{"label":"Adopt for","value":"WhisperJAV employs Qwen3-ASR and Whisper for automatic speech recognition tailored specifically to JAV content, offering robust noise handling."}]}}