Showing 4 open source projects for "mpeg-4"

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  • 1
    IDTE- ID3 Tag Editor

    IDTE- ID3 Tag Editor

    Tag FLAC ,Vorbis, Lyrics, WMA, Wavpack, ID3 Tags in a Smarter Way.

    IDTE is a full featured tag editor for Windows which supports tagging of FLAC, APE, ID3V1.x/2.x, WMA, LYRICS, VORBIS Tags in audio files. It also supports the playback of 40+ various lossy and lossless music formats such as FLAC, ALAC, OGG, APE, MP3 etc. It can rename files based on the tag information, export tag information, create playlists, search for incomplete tags on Internet, fetch lyrics, fetch cover art, supports CUE sheet, Can process multiple files at same time, allows batch...
    Downloads: 52 This Week
    Last Update:
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  • 2
    A Java Audio File Tagger , using the freedb online database for the retrieval of the tags, released under the (L)GPL license. It supports custom file renaming from tags (with any directory stucture) and vice versa. Supports: mp3, ogg, flac, mpc, ape,wma
    Downloads: 2 This Week
    Last Update:
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  • 3
    mtag (Music Tagger) is a command line id3v1~v2.4 and ogg/flac tag editor. With mtag, you can `list/modifiy/delete' almost all fields (id3 picture frame, lyrics ...) of id3/ogg/flac tags and `write tags/rename files' by pattern matching
    Downloads: 0 This Week
    Last Update:
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  • 4
    FEATURES: Editing of single ID3 TAGs, rename files, mass tagging with variables %dir and %file, exchange tags, set tags based on filenames, sort files, unsort files, create playlists and search for files.
    Downloads: 0 This Week
    Last Update:
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  • Create and run cloud-based virtual machines. Icon
    Create and run cloud-based virtual machines.

    Secure and customizable compute service that lets you create and run virtual machines on Google’s infrastructure.

    Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
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