Effects SDK helps developers add production-ready AI video and audio effects to web, desktop, and mobile apps. Add background blur, virtual backgrounds, smart framing, lighting correction, beautification, overlays, avatars, and real-time noise suppression — all running client-side, without sending video or audio to our servers.
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The fully client-side, nothing-hits-your-servers approach is what makes this appealing for a small team — no per-minute processing bill to worry about. As an indie dev building an audio-first app: can I pull in just the real-time noise suppression module on its own without the whole video pipeline, and roughly how much cold-start load does the WASM add on first use? Clean launch.
@lennoxbeflying Yes, you can use the real-time noise suppression module independently without including the video pipeline.
On the web, the first clean load can take up to around 10–12 seconds, depending mostly on network conditions, since the audio ML models are significantly larger than the video models.
To make this smoother, we recommend starting the SDK preload independently of microphone access—for example, as soon as the page loads. By the time the user selects a microphone and grants permission, the model is often already ready.
We also cache the required assets locally, so subsequent loads are much faster.
On desktop and mobile, initialization is simpler because all assets are bundled with the application. There is no network download, so the startup time is mainly just the runtime initialization.
@maxim_troshin Do most developers actually use all these effects or just a handful?
@pablo_ani It depends significantly on the product niche. For education, virtual backgrounds, overlays, emojis, and custom layouts are usually the most popular. For business calls, users tend to prefer background blur, beautification, and low-light correction. For recording, color correction and filters are more common, while social media and streaming products often focus on avatars and virtual backgrounds.
Generally, the demand looks something like this: background blur and replacement, beautification, low-light correction, and smart framing. Noise suppression is also highly popular across almost any product that includes video or audio calls.
Overall, feature popularity keeps changing. New capabilities become more important as major platforms like Google Meet and Microsoft Teams introduce them. After some time, users begin to expect the same features in almost every communication service.
@maxim_troshin Was there ever a point where you felt the SDK was becoming too feature heavy?
@lee_jay1 Good question! Yes, definitely. As the feature set grew, we had to be careful not to make the SDK too heavy for every integration. That’s why the largest components, such as AI models and WASM inference modules, are loaded dynamically, and developers can initialize only the effects they actually need.
We’re also considering separating the product into a core pipeline and a plugin-based architecture. The core would handle the rendering engine, layouts and composition, and inference integrations, while plugins would implement specific capabilities. These could include analysis and analytics features that don’t modify the video, as well as visual effects that transform the output stream.
This would make the SDK more modular and allow developers to include only the functionality relevant to their product.
@maxim_troshin Which feature has delivered the biggest impact for your users so far?
@hambali_salisu Currently, I’d say the most impactful features are background blur and replacement, along with noise suppression. They solve the most common problems users face during video and audio calls and improve the experience immediately.
how long does it take it deploy this app?
@adamkamaneh It really depends on the platform and whether the UI and user flow are already prepared.
For example, one of our fastest web integrations took only about four hours from the start of development to production.
We also help customers with the initial integration, so the process is usually much faster and smoother.
the client-side-only claim is the entire product for privacy-sensitive verticals like healthcare and legal.
real q: how does a developer using effects SDK prove that to THEIR users? like is there a signed attestation, a build hash, anything they can point at when a security review comes in? asking because most "runs on device" claims collapse the first time someone asks "prove it."
@hamza_afzal_butt Thanks! The setup is designed to be straightforward. For the web version, a basic integration usually takes only a few dozen lines of code: you pass the existing camera stream to the SDK, enable the required effects, and receive a processed stream that can be used in your current WebRTC or video pipeline.
For native platforms, we also provide ready-made integration wrappers for WebRTC builds. They handle the low-level work with raw video frames, so developers don’t need to build the entire frame-processing pipeline themselves.
We also provide examples and integrations for platforms such as LiveKit, Cloudflare Meet, and Zoom SDK. The heaviest resources, including AI models and WASM modules, are loaded dynamically, so applications only load what they actually use.
From my experience, creating the application UI and designing the right user flow usually takes more time than integrating the SDK itself.