We’ve now added full SoundCloud support to help DJs and music fans identify tracks from SoundCloud mixes and sets. This means you’re now able to paste any SoundCloud link and get a full tracklist using AI-powered recognition.
With SoundCloud support now launched, you’re be able to identify songs from your favorite SoundCloud DJ sets without downloading files or dealing with size limits. We use a combination of audio fingerprinting and smart AI technology to scan mixes and match tracks, even when multiple songs are playing at once or when the audio quality isn’t perfect.
We’ll walk you through everything you need to know about using TrackSniff with SoundCloud. You’ll learn how the platform works, what to expect from the results, and how to get the most accurate track IDs from your mixes.
Understanding TrackSniff SoundCloud Support
TrackSniff now works with SoundCloud to scan DJ mixes and identify tracks. We help artists, DJs, and fans discover track information from uploaded sets.
How TrackSniff Retrieves Track Information from SoundCloud
TrackSniff uses audio recognition technology to analyze SoundCloud uploads and identify individual tracks within DJ sets. When users submit a SoundCloud link, the platform scans the audio and compares it against its music database.
The system breaks down the mix into segments and matches each section to known songs. As of November 28, 2025, we added full SoundCloud upload support to the platform, indicated on our changelog.
After processing completes, users receive a tracklist with confidence scores. These scores include five levels: unknown, unclear, possible, likely, and verified. Higher confidence scores mean the platform is more certain about the match.
Results pages now display SoundCloud embed previews when we use SoundCloud as our source. This lets us verify tracks directly without leaving the platform.
Benefits for Artists and DJs
Independent artists gain more exposure when TrackSniff identifies their tracks in popular DJ mixes. Fans who discover songs through these scans often seek out the original artists on streaming platforms.
DJs benefit by building accurate tracklists for their SoundCloud sets. This saves time compared to manual documentation and helps fans find specific songs they enjoyed.
We can export results as CSV files to share tracklists with our audience. The platform also maintains an upload history so we can reference past scans.
For music fans, SoundCloud support means easier track discovery from their favorite DJs and live sets. The integration works alongside TrackSniff’s existing support for Mixcloud, YouTube, and direct audio file uploads.
Try TrackSniff Free Today and Start Recognising Songs from SoundCloud Mixes
TrackSniff offers a powerful solution for SoundCloud track recognition. Our platform uses advanced AI technology to scan DJ sets and identify individual songs within mixes.
Getting Started is Simple
We provide a free account that includes 50 track recognitions per month. This gives you plenty of opportunities to identify tracks from your favorite SoundCloud mixes without any cost.
Our service works by analyzing the audio from DJ sets and matching songs against a large music database. The AI-powered system can detect tracks even when they’re blended together or mixed with effects.
Key Features for SoundCloud Users
- Upload audio files directly to our platform
- Scan mixes from various sources
- Get confidence ratings for each identified track
- Build your music collection with discovered songs
We designed TrackSniff specifically for music lovers who want to know what songs DJs play in their sets. The confidence-based system shows you how certain we are about each track identification.
You can start recognizing songs from SoundCloud mixes right away. Our free tier gives you enough scans to identify tracks from multiple sets each month. This makes it easy to discover new music and expand your playlist without spending money.
The platform continues to improve as our AI learns from more scans. We’re constantly working to enhance accuracy and add new features for better SoundCloud track recognition.
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