Sonilo V1.1 Sound Effects

• - 🆕 Generates realistic sound effects from text prompts or video.
• - 👁️ Video-native: analyzes on-screen motion, scene, environment, timing.
• - 🎯 Produces synchronized, ready-to-edit audio rather than disconnected assets.
• - 🔒 Trained on fully licensed catalog, cleared for commercial use.
• - 🔧 Precise control over type, texture, intensity, and duration.
• - 🌐 Available through the Sonilo enterprise API platform.
• - 🏢 Built for developers, creator tools, and media platforms.

Sonilo

Sonilo is an audio-focused AI organization specializing in generative sound. Its work centers on turning text prompts into original audio content — spanning full musical compositions and discrete sound effects — positioning it within the fast-growing niche of…

Sonilo V1.1 Sound Effects is a generative audio model from Sonilo, a company building video-native sound and music models. Released July 21, 2026, it generates realistic sound effects from either a text prompt or a video input, giving developers control over sound type, texture, intensity, and duration. Sonilo positions it around licensed-at-source training data and commercial-use clearance, so output can go into ads, client work, games, and monetized content.

Its distinguishing capability is video conditioning: when given footage, the model analyzes on-screen motion, scene context, environments, and timing before generating audio that follows what is happening on screen. Rather than returning a collection of disconnected assets that still need to be placed and aligned individually, it can produce a synchronized track ready to review, refine, and drop into an edit.

It shares the V1.1 release with its sibling Sonilo V1.1 Music, which handles video-to-music and text-to-music generation with exact duration control. Together they let developers cover both the score and the sound-effects layer through a single provider, addressing a common gap where teams otherwise integrate separate music and SFX APIs.

As a music/audio generation model, Sonilo does not publish standard reasoning or language benchmarks, and no independent evaluation figures are available, so this description stays to documented features and provider statements.