Identify songs instantly by humming, singing, or whistling through advanced acoustic fingerprinting.
Midomi is a specialized music discovery platform powered by SoundHound's proprietary Sound2Sound search technology. Unlike traditional music identification tools that require the original audio recording, Midomi is architected to analyze vocal melodic input—specifically humming, singing, or whistling. The platform utilizes advanced Mel-frequency cepstral coefficients (MFCCs) and spectral analysis to extract rhythmic and pitch-based signatures from user-generated audio, comparing them against a global database of musical fingerprints in real-time. In the 2026 landscape, Midomi remains a primary consumer-facing laboratory for SoundHound's broader Voice AI initiatives, serving as a data pipeline for training generative audio models and vocal nuance detection. The platform's technical core is its ability to handle 'dirty' audio signals with significant pitch deviation and background interference, providing high-confidence matches where standard waveform matching (like Shazam's) would typically fail. It serves both as a search engine and a community-driven database where users contribute to the 'vocal DNA' of the world's music library, making it an essential utility for audio professionals, researchers, and general enthusiasts seeking to bridge the gap between human melody and digital metadata.
Processes vocal input directly against a database of melodies rather than just audio metadata, allowing for query-by-humming.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
NLP and acoustic modeling that supports music recognition across dozens of international languages.
Digital signal processing filters out environmental background noise during the hum-capture phase.
Metadata association that provides time-stamped lyrics alongside identification results.
Allows users to upload their own vocal renditions to improve search results for rare tracks.
Begins searching the database asynchronously as the user continues to hum.
Normalizes vocal inputs to the nearest musical key to account for users singing off-key.
A user remembers a melody but no lyrics or artist name.
Registry Updated:2/7/2026
User wants to find the original version of a song they know how to sing but can't name.
Identifying 'Untitled' audio files in a personal collection.