I've been loving the app. The audio restoration works amazing on my suno songs
SAM Audio Online: Split stems from full songs
Looking for a real SAM Audio workflow? Use the Meta stem splitter approach on full songs in stereo, not just short demo clips.
SELECT SEPARATION TYPE
Upload audio files
Drag & drop or click to browse (multiple files supported)
Supports: MP3, MPEG, MP2, MPGA, WAV, WAV, AIFF, AIF, AIFF, AIF, FLAC, AAC, OGG, OPUS, M4A, MP4, WEBM, WMA, ALAC, AMRMax size: 50MB.
Or
Split Stems with SAM Audio on Full Songs
SAM Audio is Meta's prompt-based audio separation model. Instead of being limited to fixed stems only, it can isolate sounds described in text prompts, like specific instruments, textures, or effects.
Neural Analog applies Meta's SAM Audio to full songs in stereo, and combines it with specialized models like BS Roformer, MelBand Roformer, and MDX23 for reliable quality.
Example: Piano Extraction from Full Mix
SAM Audio extraction using the prompt 'piano' on a complex classical passage.
Example: Removing Crowd Noise from a Live Recording
Effectively remove audience chatter and applause from a live performance, leaving the music intact.
Example: Removing Reverb from a Vocal Track
Clean up vocals by removing room echo and reverb trails using AI deconvolution.
Example: Removing Drums from a Cinematic Track
Despite the prompt containing NO DRUMS and NO PERCUSSION, the AI music model still added some. Use SAM Audio to remove these uncommon sounds.
Example: Removing Drums from a Guitar Track
Cleanly separate the drums from a guitar recording to create a drumless backing track.
SAM Audio Performance Benchmark vs. State-of-the-Art models (source)
Instrument (Pro), Separation Score (higher is better)
How to Split Stems with SAM Audio Online
Choose Separation Type
Describe any custom instrument or use a preset to isolate with AI.
Import Your Audio
Drag and drop your audio file or paste a link. We support all major formats.
Download Stems
Our GPU infrastructure processes your audio in seconds. Download individual stems for remixing and mastering.
Where SAM Audio Beats Traditional Stem Splitters
Extract Distorted Voices
Traditional models often struggle to isolate heavily distorted or processed vocals. SAM Audio is notably stronger on these challenging voice separations.
Remove Specific Noise
Do surgical edits by removing one precise SFX class, like barking or laughing, while keeping the rest of the scene intact.
Isolate Same-Family Instruments
Separate lead or solo guitar from rhythm guitar, even when timbres overlap and classic stems are too coarse.
Remove Rare Instruments
Target unusual percussion and niche instruments that standard preset-based models usually miss. SAM Audio is the model to test first for these rare cases.
Restore your stem from mp3 to 20Khz WAV
Stem extraction often contains mp3 artifacts and is limited to 16Khz. Improve the resulting stem using our audio restoration model.
Example: stem of a mp3 music generated with Demucs
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Neural Analog makes me feel like a monkey with an AK-47, in the best way possible
It worked! Well done :) Many thanks :))))
Wow thank you so much i upscale videos and take out live recordings from music because of my autism i hate the crowd
Listen to tracks made by our users
AI audio enhanced with Neural Analog
Frequently Asked Questions
The SAM Audio playground is limited to 30-second clips in mono. To process full songs and stereo sounds, the playground is not enough. Use Neural Analog to process long or stereo audio with SAM Audio.
That depends on processing, but most tracks take about a minute. For longer tracks, despite using fast GPUs, the processing time can take longer. You can leave the page and come back later.
With the custom prompt option, you can describe any instrument you want to isolate (e.g., "saxophone", "synthesizer", "electric guitar"). The SAM Audio model uses your description to separate that specific sound from the mix, giving you flexibility beyond standard presets.
Start Using SAM Audio Online
Split stems from full songs, isolate custom instruments, and move faster from generation to release-ready production.