Click on a utility for documentation on its usage.
trackverify takes one or more audio tracks, verifies their files for correctness, and displays its results to standard output. If directories are given, they are searched recursively for any supported audio files and verified if found.
All audio formats do not carry an equal measure of error protection. What Python Audio Tools is capable to detecting depends on the audio format. For example, FLAC files have their frame checksums verified, in addition to the file's MD5 hash. Files packed in Ogg containers have their Ogg page checksums verified. However, for formats such as Wave, there is no standard way to verify that its data content is correct; we can only ensure that its blocks of data are the correct size.
Verifying lossless tracks against AccurateRip's online database is a way of ensuring one's rips are identical to rips performed by other people. The confidence level is the number of other people who have the same rip, so a larger value indicates one's own rip is consistent with those of others. However, not finding one's rip in the AccurateRip database does not necessarily mean the rip is bad; the CD may be new, rare, or a different pressing than the one in the database.