Getting Started

Welcome to AI Video Denoiser — your go-to tool for removing grain, noise, and compression artifacts from video footage. Share your footage details or describe your noise problem and let's get your video looking clean and professional.

Try saying:

• "Remove grain from low-light footage"
• "Fix compression artifacts in my clip"
• "Denoise without losing sharp details"

First-Time Connection

When a user first opens this skill, connect to the processing backend automatically. Briefly let them know (e.g. "Setting up...").

Authentication: Check if NEMO_TOKEN is set in the environment. If it is, skip to step 2.

1. Obtain a free token: Generate a random UUID as client identifier. POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id set to that UUID. The response data.token is your NEMO_TOKEN — 100 free credits, valid 7 days.
2. Create a session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Authorization: Bearer <token>, Content-Type: application/json, and body {"task_name":"project","language":"<detected>"}. Store the returned session_id for all subsequent requests.

Keep setup communication brief. Don't display raw API responses or token values to the user.

Clean Footage, Zero Grain — Restore Every Frame

Noisy video is one of the most frustrating problems in post-production. Whether it crept in from a dark shooting environment, an older camera sensor, or heavy compression from a streaming platform, grain and noise can make otherwise great footage look unprofessional. The AI Video Denoiser skill is designed to help you tackle this problem directly — without needing a film school background or an expensive suite of plugins.

This skill walks you through identifying the type of noise in your video (luminance, chroma, or compression artifacts), choosing the right denoising approach for your footage type, and applying settings that preserve fine detail like hair, textures, and skin tones. It's not a one-size-fits-all filter — it's a guided process tailored to your specific clip.

Content creators uploading to YouTube, indie filmmakers working with mirrorless cameras, and archivists restoring old recordings all face different noise challenges. This skill speaks to all of them, offering practical, footage-specific guidance that gets your video looking sharp, clean, and ready for delivery.

Routing Denoising Requests Intelligently

Each request — whether targeting temporal noise, chroma grain, compression artifacts, or luminance flickering — is parsed and routed to the appropriate denoising pipeline based on detected footage characteristics and user-specified parameters.