SoundHound
ProductPaidRevolutionizes music discovery with voice and hum...
Capabilities12 decomposed
hum-to-song identification
Medium confidenceIdentifies songs by analyzing a user's humming or melodic vocalization. Uses audio fingerprinting and machine learning to match the hummed melody against a music database and return the song title, artist, and album information.
vocal-singing-to-song identification
Medium confidenceIdentifies songs by analyzing a user singing or vocalizing lyrics or melody. Processes the vocal input to match against the music database and returns song information with high accuracy even when lyrics are partially sung or unclear.
freemium identification quota management
Medium confidenceManages free tier identification limits and displays remaining quota to users. Handles upgrade prompts and quota reset cycles for freemium model.
offline identification capability
Medium confidenceEnables song identification from humming or singing without requiring internet connection for the initial recognition process. Stores identification results locally until sync is available.
conversational voice search
Medium confidenceEnables natural language voice queries to search for music, artists, genres, or playlists without opening the app. Processes conversational requests like 'play 80s rock songs' or 'show me indie pop' and returns relevant results.
audio fingerprint song identification
Medium confidenceIdentifies songs from playing audio by creating a digital fingerprint of the sound and matching it against the music database. Works with any audio source including radio, TV, or ambient music in the environment.
spotify playlist creation and sync
Medium confidenceIntegrates with Spotify to automatically create playlists from identified songs and sync music discovery directly to user's Spotify library. Enables seamless workflow from identification to streaming.
apple music playlist creation and sync
Medium confidenceIntegrates with Apple Music to automatically create playlists from identified songs and sync music discovery directly to user's Apple Music library. Provides seamless integration for Apple ecosystem users.
music metadata retrieval
Medium confidenceRetrieves comprehensive metadata for identified songs including title, artist, album, release date, lyrics, and album artwork. Provides rich contextual information about the music.
music history and discovery log
Medium confidenceMaintains a searchable history of all identified songs with timestamps and context. Allows users to revisit past discoveries, track listening patterns, and create collections from historical data.
lyrics display and search
Medium confidenceDisplays synchronized or unsynchronized lyrics for identified songs and enables searching for songs by lyrics. Provides lyric text with proper formatting and attribution.
artist and album discovery
Medium confidenceProvides recommendations for related artists, discographies, and album information based on identified songs. Enables exploration of an artist's catalog and similar artists.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
Artifacts that share capabilities with SoundHound, ranked by overlap. Discovered automatically through the match graph.
Uberduck
Unleash AI-powered singing, rapping, and custom voice...
Suno
AI music generation — full songs with vocals from text, custom styles, high-quality output.
Evoke Music
Revolutionize content with AI-driven, copyright-free music...
Autodraft
Generated visual...
Ad Auris
Transform text into engaging, high-quality audio...
Musicfy
Transform text and voice into unique music with AI-powered...
Best For
- ✓music enthusiasts
- ✓casual listeners
- ✓people without audio access to original song
- ✓singers
- ✓people who remember melodies better than lyrics
- ✓free tier users
- ✓budget-conscious listeners
- ✓casual users
Known Limitations
- ⚠accuracy depends on humming clarity and pitch consistency
- ⚠may struggle with very obscure or independent releases
- ⚠requires clear melodic content
- ⚠accuracy varies with vocal clarity and pitch accuracy
- ⚠may misidentify if sung significantly off-key
- ⚠limited by database size for obscure tracks
Requirements
Input / Output
UnfragileRank
UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.
About
Revolutionizes music discovery with voice and hum recognition
Unfragile Review
SoundHound stands out as a versatile music identification platform that goes beyond Shazam's fingerprinting by offering genuine voice search and hum recognition capabilities, making it exceptionally useful for identifying songs when you can't play the original audio. However, its paid model and smaller music database compared to competitors limit its mainstream appeal despite superior voice-to-music matching technology.
Pros
- +Industry-leading hum and voice recognition—can identify songs by humming or singing lyrics with impressive accuracy
- +Conversational voice search enables natural language queries like 'play songs from the 80s' without opening the app
- +Deep Spotify and Apple Music integration for seamless playlist creation and streaming
Cons
- -Freemium model with limited identification attempts before paywall, unlike Shazam's unlimited free tier
- -Smaller indexed music catalog means occasional misses on obscure or independent releases that Shazam catches
Categories
Alternatives to SoundHound
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
Compare →World's first open-source, agentic video production system. 12 pipelines, 52 tools, 500+ agent skills. Turn your AI coding assistant into a full video production studio.
Compare →Are you the builder of SoundHound?
Claim this artifact to get a verified badge, access match analytics, see which intents users search for, and manage your listing.
Get the weekly brief
New tools, rising stars, and what's actually worth your time. No spam.
Data Sources
Looking for something else?
Search →