Upload video files directly from your phone or computer to identify background tracks without public links.
Upload and identify songs in local video files in four steps.
Drag your MP4, WebM, MOV, or MKV file into the dropzone (up to 25MB).
BGM Finder extracts the audio track and runs neural vocal separation to isolate background music.
The isolated music melody is cross-referenced against millions of commercial songs.
View title, artist, album, and instant streaming links for Spotify and Apple Music.
Identify songs from private recordings and saved files
Not every video is hosted on YouTube or TikTok. You might have downloaded a clip from Telegram, saved a Discord video, or captured a screen recording of a livestream.
BGM Finder accepts direct uploads across MP4, WebM, MOV, MKV, AVI, and audio formats like MP3, WAV, FLAC, and OGG up to 25MB.
Files are processed securely in memory and discarded immediately after matching with zero permanent storage.
Best practices for fast and accurate identification
For large videos, trim the clip to the 15-30 second portion where the background music is loudest before uploading to ensure the quickest upload and analysis.
On iPhone or Android, capture a quick screen recording of any app (Netflix, games, Twitter/X) and upload the resulting video file directly.
Voice memos, extracted MP3s, and WhatsApp voice notes can also be uploaded for immediate AI vocal removal and song matching.
Key questions about this workflow
BGM Finder supports MP4, WebM, MOV, MKV, AVI, 3GP, and all major audio formats (MP3, WAV, AAC, OGG, FLAC) up to 25MB.
No. All uploaded video and audio files are processed ephemerally in RAM and immediately deleted upon completion.
Paste a YouTube, TikTok, or Instagram link now to isolate and identify the background song in seconds.
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