#ffmpeg

Use when a user wants to turn a fact-checked explainer script into a faceless, journal-style knowledge video. Five checkpoints, each waiting for the user to confirm: voice and script, material list, storyboard, 3-second sample, full cut. Does not change the script, invent data, or publish. The bundled script renders only a minimal example; voice-over, screen recording, and complex editing must be prepared separately. Use case: Let an agent turn your explainer script into a faceless, journal-style knowledge video, with you confirming every step.

Automatically detects, tracks and obscures faces in video, with mosaic, blur or solid black masks, preserving the original motion and audio. Processes locally and outputs Telegram-compatible H.264 MP4. SCRFD suits small distant faces in groups; YuNet is faster. Use case: Automatically blur faces in video (mosaic, blur or solid black), keep the audio, process locally.

Use this when a user has an audio recording they want to turn into a captioned short video, spoken-word clip, or social media short. The core is word-level timestamps: transcribe into word-by-word text, the user deletes words to cut the matching audio, AI marks key words for highlighting, and then it renders a vertical video with a black background, key words in gold, and captions that appear in sync with the sound. Use case: Turn an audio recording into a short social media video with key-word highlighting and captions synced to the sound.