Keeprix is a streaming video downloader that enables users to save content from over 1,000 platforms including Netflix, Amazon Prime, Disney+, YouTube, HBO Max, TikTok, Instagram, and Hulu for offline access. It addresses the limitations of streaming services by producing permanent local copies that are ad-free and free of expiry timers or platform restrictions.
The application outputs files in MP4 and MKV formats compatible with any device or player. It preserves original video resolution up to 4K along with every audio track and subtitle language provided by the source. Batch downloading allows queuing of full seasons or multiple videos for background processing at speeds that exceed real-time playback.
Content saved with Keeprix remains accessible after a subscription ends and can be used to build personal libraries, protect favorites before removal from platforms, create clips for editing, or support offline study with lectures and documentaries. The software runs on Windows and Mac devices and stores files locally without requiring an account for playback.
It operates on a subscription model with one subscription covering all supported platforms. A free download is available along with a 60-day money-back guarantee. The tool is presented as suitable for individual consumers as well as marketing teams archiving campaign materials and educators collecting instructional videos.
In the Entertainment & Media space, [Official] Keeprix takes a focused approach. It focuses on downloading and saving streaming videos for offline viewing without platform restrictions or expiry timers. [Official] Keeprix is a consumer product aimed at consumers who want to save streaming videos offline. [Official] Keeprix follows a freemium model, with paid plans starting at $9. [Official] Keeprix is available on the web, Windows, and macOS.
[Official] Keeprix first shipped in 2024. Among its 10 catalogued features are batch download, 4K quality, and subtitle support. The interface is available in 8 languages, including German, English, and Spanish.
Summary written by a language model from the project’s public pages.
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