Feature Overview
Twelve core features for recognizing, importing, browsing, searching, translating, protecting, cleaning, and playing large JAV and regular movie libraries.
An industry-leading AI recognition engine automatically identifies Japanese AV video files at scale, quickly and without requiring filename changes. Batch processing brings thousands of files into the library fast while covering mainstream studio databases.
Automatically fetch covers, titles, descriptions, cast, release dates, and other complete metadata, with no manual editing required and a poster wall that is easy to scan.
Upload a photo or video screenshot and let CVO use AI plus big data to suggest likely AV actress matches, so you can answer "Who is this JAV actress?" even when you do not know the name.
Favorites, ratings, custom playlists, watched and unwatched status, and progress tracking help you manage your viewing preferences freely.
A core selling point. AI compares video content fingerprints, accurately identifies duplicate files, and lists redundant items for cleanup so you can free tens or even hundreds of GB of storage.
The built-in player can flatten VR videos directly into 2D playback, so you can watch comfortably without wearing a VR headset.
Filter and sort by actress, series, tags, rating, release date, and more, with powerful full-text search that helps you find favorites inside a massive collection.
Video titles, plot descriptions, and actress names support automatic translation into multiple languages, making content easier to understand across language barriers.
Even videos AI cannot recognize can be added to the media library, then manually searched, matched, and edited by the user for flexible control.
Set a password lock for the entire JAV library to protect personal privacy and prevent others from accessing your collection.
Beyond JAV, regular movies can also be recognized and played, with full support for external subtitles and audio track selection in one media center.
Native clients are available for both Windows and macOS, with a consistent interface and experience for managing your library anywhere.
