Song Finder

Song Finder identifies songs from humming, music playing nearby, or an uploaded audio clip, and shows possible titles and artists. It identifies existing songs only; it does not generate music or download tracks. Sign-in required; first search free, then one-time credit packs ($5/$10).

SongFinder is a free, browser-based music recognition and audio processing platform designed to help users identify songs from audio recordings, uploaded files, video clips, and supported media links. The service is useful for music listeners, DJs, content creators, music enthusiasts, and developers who need to identify tracks or analyse audio without installing a dedicated desktop application. Its main purpose is to make music identification easier, especially when a recording is noisy, quiet, shortened, sped up, or mixed with other sounds.

One of SongFinder’s central features is audio-based song recognition. Users can upload a recording or video file, provide a supported media URL, or record sound directly through their device’s microphone. The service analyses the submitted audio using acoustic fingerprinting and compares it with a music catalogue. When a match is available, the results can include the song title, artist, album, and related metadata. This helps users discover music they hear in public places, online videos, livestreams, radio broadcasts, events, and other everyday situations.

The platform supports common audio and video formats, including MP3, WAV, FLAC, AAC, OGG, OPUS, ALAC, AIFF, MP4, WebM, MKV, AVI, and MOV. For video uploads, SongFinder analyses the audio track rather than identifying the video itself. Users can select a portion of a file for recognition, which is useful when a long recording contains several songs or when the clearest musical section appears later in the clip. The service recommends approximately 10 to 30 seconds of clear audio for reliable results, although shorter or longer segments may also be processed.

A key advantage of SongFinder is that it includes audio-processing tools alongside its recognition feature. Many music-identification services work best with a clean recording, but real-world audio often contains background noise, crowd sounds, speech, low volume, or changes in speed and pitch. SongFinder allows users to prepare difficult recordings before attempting recognition again. This combined workflow can be particularly useful for people trying to identify music from live performances, remixes, mashups, or videos with voiceovers.

The equalizer allows users to adjust frequency bands to reduce certain types of interference, such as high-frequency hiss, low-frequency rumble, or muffled sound. These adjustments can make the musical content easier to hear and may help improve recognition when unwanted noise affects a recording. Users can experiment with different settings depending on the source material instead of applying the same processing to every file.

SongFinder also provides audio normalisation. This feature adjusts the overall volume to a more consistent level, making it useful for quiet recordings, older audio files, or clips with uneven loudness. A recording that is too quiet may be difficult to analyse effectively, so normalisation can be a useful preparation step before submitting audio for identification. However, it does not remove every type of interference, and it cannot guarantee a successful match.

Vocal separation is another important capability. It uses AI-powered processing to separate vocal content from instrumental audio. This can help when the music is mixed with conversation, commentary, crowd noise, or other competing sounds. Users can focus on the layer that carries the most distinctive musical information and try recognition again. Vocal separation can also be useful for music-production and audio-editing workflows, although the quality of the separation depends on the source recording.

SongFinder includes speed and pitch controls for recordings that have been altered. Music shared online may be sped up, slowed down, or shifted in pitch, which can make it more difficult to identify through ordinary recognition methods. By adjusting the tempo or pitch, users can experiment with restoring a recording closer to its original form before submitting it. This feature is particularly relevant to shortened social media edits, slowed versions of popular songs, and unofficial remixes.

The platform provides several guided workflows for different audio problems. For concert or live recordings, users can try equalisation, vocal separation, and normalisation before recognition. For a video containing voiceover, separating vocals and balancing the remaining audio may help reveal the background music. Older recordings can benefit from frequency adjustments and volume correction, while remixes and mashups may require isolating the most recognisable musical layer. These workflows make the platform more flexible than a basic song-identification search box.

SongFinder also provides a collection of browser-based audio tools for users who need more than music recognition. These include an audio trimmer, an audio mixer with a multi-lane timeline, a media converter, a stereo widener, an equalizer, a compressor, a speed and pitch changer, a BPM detector, and a musical-key detector. Depending on the tool, users can edit audio, adjust its characteristics, convert between supported formats, and analyse musical properties. These utilities can be useful for preparing tracks, organising music projects, and checking audio before further editing.

Some audio analysis tools can help DJs and music enthusiasts understand a track’s tempo and musical key. BPM detection estimates the number of beats per minute, while key detection estimates the musical key of the recording. This information can help users compare songs, prepare playlists, and plan transitions between tracks. The accuracy of these measurements depends on the recording and the nature of the music, particularly when tracks have changing tempos, unusual rhythms, or complex arrangements.

For developers, SongFinder offers application programming interfaces through RapidAPI. The File Recognition API is designed to identify songs from audio files or recordings and return track metadata. The Audio Separation API provides access to vocal and instrumental separation for supported workflows. These services can help developers incorporate music recognition or audio-processing capabilities into their own applications, websites, and software projects. API usage and pricing are governed by the relevant provider terms and available RapidAPI plans.

SongFinder also offers a Chrome browser extension for identifying music playing in browser tabs. Users can activate the extension when they want to identify audio from a video, livestream, or other browser-based media. The extension can display track information and maintain a recognition history. Its shortcut and link to the main website provide an additional way to move between browser listening and the platform’s audio-processing tools.

Privacy is an important consideration for any service that processes recordings. SongFinder states that files submitted for server-based recognition and processing are deleted after processing. Many of its browser-based editing and analysis tools operate locally on the user’s device, meaning the audio does not ordinarily need to be uploaded for those operations. There is an exception when users transfer files between tools through the platform’s “Open with” workflow, which temporarily uploads a file for transfer before deletion. Users should review the current privacy policy before submitting recordings containing confidential information or other people’s voices.

SongFinder is designed to be accessible without an account for basic use. Its free model is supported partly by advertising, and some features have usage limits or require users to watch a rewarded advertisement to unlock additional processing. Song recognition has a free allowance that replenishes over time, while certain advanced tools may require advertisements for individual uses. This arrangement lets users access many capabilities without a conventional subscription, although availability and usage limits can vary.

SongFinder is best suited to people who want to identify unfamiliar music, improve difficult recordings, analyse basic musical characteristics, or use recognition and audio processing within a development project. Its combination of recognition, audio cleanup, browser tools, and API access makes it useful for several music-related workflows. It is not a guarantee that every song will be identified, because results depend on audio quality, catalogue coverage, and the recognition services available. Nevertheless, it offers a convenient starting point for music discovery and audio preparation in one browser-based environment.

Pricing

• Free music recognition: $0, with a usage limit that replenishes over time.
• Rewarded-ad access: Some advanced audio tools require users to watch a short advertisement to unlock processing or receive additional uses.
• Browser-based audio tools: Many tools are available without a paid subscription, subject to feature-specific limits and access conditions.
• API access: File Recognition and Audio Separation APIs are available through RapidAPI, with pricing and usage limits determined by the relevant API plans.
• Subscription: No standard subscription is required for basic website use.

SongFinder’s website does not publish a single universal subscription price for its main service. Check the relevant tool or API page for current usage conditions and costs.

Review

SongFinder is a useful music recognition platform because it combines song identification with audio tools that can help users work around difficult recordings. Uploading files, recording live sound, and submitting supported media links provide flexible ways to identify music. The equalizer, normalisation, vocal separation, and speed and pitch controls give users additional options when a straightforward recognition attempt does not work.

The browser-based workflow is another advantage. Users can access the service without installing a full audio-editing application, while the Chrome extension makes it easier to identify music playing in browser tabs. Developers can also explore the available APIs for incorporating recognition and audio separation into their own projects.

However, SongFinder cannot guarantee that every track will be recognised. Obscure releases, recent songs, regional catalogue gaps, and poor-quality recordings may produce no match or incorrect results. Some advanced processing features also require rewarded advertisements, and API usage may incur separate charges. Users should understand these limitations before relying on the service for frequent or large-scale work.

SongFinder is worth considering for music discovery, difficult-recording identification, and basic audio analysis. Its main strength is combining song recognition with practical audio-processing tools, while its free-access model makes it convenient for occasional users.