Cankoptor is an emerging software publisher whose entire catalogue is currently focused on VideoAudioEnhancer, a lightweight utility that brings broadcast-grade loudness normalisation to everyday Windows workflows. By integrating the cloud-based loudness.ai engine with a local Selenium-driven browser layer, the program can parse, analyse and correct multiple clips in one pass, levelling dialogue, music and effects to streaming-platform targets such as –14 LUFS for YouTube or –16 LUFS for podcasts. Typical users include weekend vloggers who need consistent volume across a folder of mobile captures, e-learning producers who want lecture audio to match without manual key-framing, and small post-houses that receive mixed-format footage from different cameras and microphones. The interface is deliberately minimal: drag a folder of MP4, MOV, MKV or AVI files, choose a preset or enter a custom LUFS value, and the software queues every video for overnight processing while writing non-destructive backup copies. Because the loudness.ai back-end performs the heavy analysis remotely, local CPU use stays low, making the tool practical even on ultrabooks. Cankoptor’s roadmap hints at future plug-ins for colour grading and subtitle burn-in, but for now VideoAudioEnhancer remains a single-purpose, batch-oriented loudness corrector. The publisher’s software is available for free on get.nero.com, where downloads are delivered through trusted Windows package sources such as winget, always install the latest release, and can be queued alongside other applications for unattended batch installation.

VideoAudioEnhancer

Uses loudness.ai to do magic using selenium and supports batch video enhancements

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