UNVELLVideoTagger Officially Released — An AI-Powered, Tag-Based Video File Management Tool
UNVELL Inc. Officially Releases "VideoTagger," an AI-Powered Video File Management Tool
— Built specifically for tag-based management of large video collections, with on-device AI assisting tag detection —
April 1, 2026 — UNVELL Inc.
UNVELL Inc. is pleased to announce the official release (v1.0.0) of "VideoTagger," a desktop video file management tool.
VideoTagger is a dedicated tool designed for tag-based organization and search of ever-growing video collections. With on-device AI assisting automatic tag detection, it makes managing large numbers of video files efficient. It supports macOS and Windows, and is available for download from the official site starting today.
Why We Built It
In film and content production, raw footage piles up daily — collections of thousands or even tens of thousands of files are not unusual. Folder-based organization breaks down at that scale, and "where was that clip?" turns into a major time sink.
VideoTagger was built to solve exactly this problem. Tag your files to organize them, then find them instantly by tag — simple, powerful video file management.
Key Features
1. Built Specifically for Tag-Based Video Management
Create custom tags freely and assign them to video files. Batch tagging across multiple files is supported, so you can organize large numbers of files efficiently.
2. AI-Assisted Automatic Tag Detection
On-device AI (TensorFlow.js) analyzes video content and suggests tags by detecting subjects such as people, vehicles, and landscapes. All AI processing runs locally, so your video files are never sent to external servers.
3. Two-Workspace Design
- Organize mode — Add files to your library and tag them
- Find mode — Pick tags and instantly find what you need
4. Fast Thumbnail Previews
Thumbnails are automatically generated and cached for every video in your library, letting you scan content quickly without opening each file.
5. Detailed Metadata Display
Resolution, frame rate, codec, bitrate, camera/lens information, and other technical metadata are extracted and displayed automatically.
6. Privacy-First by Design
Both AI processing and the database run entirely locally. Video files and metadata are never uploaded to the cloud.
Who It's For
- Filmmakers and cinematographers
- YouTubers and video content creators
- Production companies
- Stock footage librarians
- Marketing and PR teams at companies
Product Overview
| Item | Details |
|---|---|
| Product | VideoTagger |
| Version | 1.0.0 |
| Platform | macOS (Apple Silicon) / Windows (x64) |
| Pricing | Subscription (30-day free trial available) |
| Website | https://video-tagger.com |
| Developer | UNVELL Inc. |
Download & More Info
A free trial is available from the official website.
Website: https://video-tagger.com
Japanese site: https://video-tagger.com/ja
About UNVELL Inc.
UNVELL Inc. is a software development company guided by the principle "Keep Simple, Keep Smart." We actively adopt AI and cutting-edge technologies, and develop and deliver software products for developers and creators — including the spreadsheet component "ReoGrid."
Company website: https://unvell.com
Contact
UNVELL Inc.
Email: [email protected]
Web: https://video-tagger.com