Song Finder is a web-based tool for identifying music from audio recordings, media URLs, or live microphone input. Users can upload a file in formats such as MP3, WAV, FLAC, MP4, M4A, or OGG, or paste a link to a media file. The service uses up to three independent recognition engines to attempt matching the clip against their catalogs. When a match is found, the app returns the song title, artist, album art, and streaming links. The service is free and does not require an account. Beyond audio recognition, Song Finder includes several related search tools. The Lyric Finder allows users to search for a song using a remembered line of text. The Mood Finder matches songs to a described feeling. Additional utilities include a BPM and key finder, a genre finder, a similar songs finder, and a playlist analyzer that displays tempo, key, and energy profiles. Users can also generate a DJ set from a single track, detect BPM by tapping, and use audio editing tools such as an equalizer, speed and pitch changer, trimmer, and merger. A mood detector is also listed among the available functions. The typical workflow starts by either playing a clip on the page, uploading a file, pasting a URL, or recording live sound. The app then runs the clip through its recognition engines in sequence, so if one engine misses, another attempts identification automatically. For best results, the site recommends using an unprocessed recording, as heavy audio effects can alter the fingerprint. Users with only a lyric fragment or a mood description can use the corresponding dedicated tools instead of audio recognition. All features are available without payment or account creation.