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Sonilo V1.1 Update Enhances AI Soundtrack Precision

San Francisco-based startup Sonilo has released version 1.1 of its video-to-music platform, refining how the AI interprets the emotional arc and rhythmic structure of uploaded footage. The update aims to eliminate the friction of manual syncing, allowing creators to generate original, licensed soundtracks that align seamlessly with their edits.

Bio & NewsJune 26, 2026616 reads0

Since its April debut, the platform has distinguished itself by eschewing text prompts in favor of direct footage analysis. The latest model improves the fidelity of these soundtracks, ensuring the audio tracks the video's pacing more closely. Users receive three distinct style options per upload, with real-time previewing available before the final render is complete. By matching the specific length of the input video automatically, the tool removes the traditional need for stock library searches or complex editing workflows.

Unlike many generative music tools relying on unlicensed scraping, Sonilo operates on a model built from professionally licensed catalogs. CEO Shawn Song noted that the update addresses the historical trade-off between production speed and legal security. Because artists are compensated for the training data, the resulting audio is cleared for commercial use, providing a streamlined alternative for creators who previously had to sacrifice either fit or copyright safety to meet tight deadlines.

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