VidNo is an AI-powered video production pipeline built specifically for developers. You run one bash command and VidNo handles everything from screen recording analysis to YouTube upload — scripted, narrated, edited, thumbnailed, published. No video editing skills required. No manual voiceover. No timeline scrubbing. No copying titles into YouTube Studio. Nothing manual.
Here is how the pipeline works from start to finish. You record your screen while coding, using any tool you prefer — OBS, your OS's built-in recorder, even Loom. When you are done, you run a single command and VidNo takes it from there.
VidNo's first pass is visual analysis. It extracts frames from your recording at regular intervals and runs OCR to read everything on screen — your code editor, terminal output, browser tabs, file trees. It also detects git diffs by analyzing what changed between frames, giving it a precise understanding of what you actually built during the session.
Next, all that extracted context gets sent as text to Claude (Anthropic's AI) via API. Claude generates a natural, developer-friendly script that explains what you did, why you did it, and walks through the key decisions. The script reads like you wrote it yourself, not like a generic tutorial.
Then VidNo handles the voice. Using MOSS TTS running locally on your GPU, it synthesizes speech from the script using a voice model trained on a 60-second sample of your actual voice. The result sounds like you narrating your own work — matching your cadence, rhythm, and emphasis patterns.
VidNo composites everything together — intelligent cuts to remove dead time, transitions between logical sections, voiceover synced to the relevant screen content — and renders the final output. You get four versions from every recording: a full-length tutorial, a condensed recap, a short highlight reel, and a vertical YouTube Short.
After rendering, VidNo generates a custom thumbnail for each video. Then it uploads everything directly to YouTube via API — setting the title, description, tags, chapters, thumbnail, and schedule. Your videos go from screen recording to published on YouTube without you touching a browser.
The entire process runs locally on your machine. Your screen recordings and code never leave your computer — only the text extracted for script generation touches the cloud via Claude's API, and the final upload to YouTube via the YouTube Data API.