EZ CD Audio Converter 18.104.22.168 Multilingual
File size: 90.6 MB
File size: 90.6 MB
EZ CD Audio Converter (formerly Easy CD-DA Extractor) is all-in-one software: Audio CD Ripper, Audio Converter, Metadata Editor, and Disc Burner. It is easy to use and provides best audio quality. The software can rip audio CDs, make copies of discs, convert mp3, convert audio files, and burn audio CDs, MP3 CDs, and data discs. EZ CD Audio Converter is easy to use, fast, and has best audio quality.
EZ CD Audio Converter supports all popular audio file formats. Such as 3G2, 3GP, MP1, MP2, MP3, Windows Media Audio (WMA), Ogg Vorbis (OGG), MP4, M4A (AAC and Apple Lossless), AAC, aacPlus (HE-AAC, AAC+, HE-AAC+PS, eAAC+). Also supports FLAC, Musepack (MPC), WavPack (WV), WAV, AIFF, Monkey's Audio (APE), CUE and M3U.
Furthermore, the Nero Digital (Nero AAC) is supported if you have the Nero Burning ROM installed on your computer.
State-of-the-art audio encoding technology. EZ CD Audio Converter includes the most advanced audio codec available, the aacPlus from the Coding Technologies. In addition, EZ CD Audio Converter also supports command line (.exe) encoders.
Easy to use
Best audio quality
Secure audio CD ripping with error detection
Converts between all audio formats with metadata preservation
Burn audio CDs, mp3 discs, and data discs
Best audio codecs are included
Automatic updates (free lifetime updates also included)
Automatic high-quality cover art downloads
Features ReplayGain, normalization, silence removal
Convert audio from video files
Makes 1:1 copies of CDs and DVDs
Fast audio converter, can convert up to 8 files in parallel
Automatically download metadata with high quality cover art from multiple services (GD3, MusicBrainz, Freedb)
Utilizes multi-core processors and special processor multimedia instructions (SSE, MMX) for best performance
Gapless audio conversion, gapless sample rate conversion
Supports Cue Sheets (.cue), all types
Full ReplayGain support
Rips hidden audio tracks (HTOA)
CD-Text, ISRC, pre-gap, and pre-emphasis detection