GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
WhisperJAV employs Qwen3-ASR and Whisper for automatic speech recognition tailored specifically to JAV content, offering robust noise handling.
Good fit when
- 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.
Avoid when
- 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.
- 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.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (2d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install WhisperJAVSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
WhisperJAV uses Qwen3-ASR, local LLMs, and Whisper for noise-robust subtitling of JAV content.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 20, 2026
- Languages
- python
Source: github.language+pyproject.toml · Sep 20, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
| Python (source installs) | 3.10 | 3.11 |Source link
Tags
README
Quick start GUI (recommended): launch WhisperJAV from the desktop shortcut (Windows installer) or run: Add files, pick a mode, click Start. Subtitles land next to your video as . Command line: Any input FFmpeg can read works: MP4, MKV, AVI, WMV, MP3, WAV, FLAC, and so on. Output...
For agents
This page has a .md twin and JSON over the API.