It can't be simply judged by its developer more importantly, it should be rated by its users - you. It is undeniable that MacX YouTube Downloader review should be made with different points of view and different angles. Hit "Download Now" and then this free YouTube downloader for Mac will begin to download video from YouTube, Vimeo, etc. Select the desired video format MP4 AVI MKV webm, resolution 720p, 1080p, 2160p, codec and file size. User GuideĬlick "Add Youtube URL" button to enter video download window. No CPU/GPU hardware acceleration tech to speed up video downloading process. Unable to convert downloaded YouTube video.īuilt-in video player is for downloaded video preview, not a truly video player. Have to admit it's a considerate design for iOS device users. Ok, actually, it's crafted to transfer MP4 video to iPhone iPad iOS devices for mobile device viewing. You might feel curious about "Auto add MP4s to iTunes". Target Folder, I bet we know its function, so pass it here. If you're disposed to take snapshots from video, the camera icon is born for that purpose and you can find all the pictures in the folder next to camera. A sound slide bar is on the right side for you to adjust the volume. Hit "Play" button and the imported video will play in the small window for your preview. Click the blue words and you will be directed to a webpage with all supported websites listed (1000+).Īs for the options at the right corner of the bottom, you can make full use of them if you need. The fourth one has "Setting" feature, letting you choose preferred video format (e.g., MP4, WebM, FLV, 3GP), video resolution (Highest Definition, 2160p, 1080p, 720p, 480p, etc.), target folder, etc. The next icon with a "trash can" is to remove all video sources. The second icon is used to clear finished video files if you don't plan save the downloaded videos. Click the first icon, and you will enter the video download window. Just the top icons on the menu draw your attention. And there is no annoying commercial ads popping up. When you launch this free video downloader on Mac, you're greeted by a simple yet clean interface, no frills.
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This paper focuses on this issue, presenting a learning approach which boosts the performance of user recognition and verification, allowing to recognize a subject with considerable accuracy. However, such approaches perform well only on the long term, after a long conversation has been performed this is a problem, since in the early turns of a conversation, much important information can be stolen. In the literature, the problem has been addressed by designing sets of features which capture the way a person interacts through the chats. One of the most important issues is identity theft, where impostors steal the identity of a person, substituting her in the chats, in order to have access to private information. Identity safekeeping on chats has recently become an important problem on social networks. |