dumbtv
dumbtv takes the ads, screen tracking and update nags out of your Fire TV over ADB. No root, none of your apps touched, every step can be undone. Free and open source.
Upload a photo, detect faces with multiple models, blur them, and strip metadata — privacy-first face anonymization.
SecurityTypeScript · CSSGitHub @KartikDaGreatOnlineOwner unconfirmed
Have you tried it? One tap is enough. No sign-in needed.
No updates detected yet. GitHub releases will appear here.
Owners of public repositories under a personal GitHub account can sign in to verify ownership and manage the introduction themselves. No administrator approval is needed.
Sign in, generate a verification file, and commit it to this repository’s default branch within 30 minutes. Files on other branches or forks do not count. Then check the file below to manage the project without administrator approval. Keep the file to retain your access.
If needed, you will go to sign-in. After signing in, return here and press your chosen verification button again.
Run /nomorevibe verify in your project folder to verify ownership and manage the introduction yourself.
Verify in one minuteAsk about other verification options
Strip photo metadata and blur faces entirely in the browser. Pick a face-detection model and a blur method; the image never leaves your machine.
Taken from the repository README
Loading the full README. The saved excerpt is shown below.
Remove metadata + face anonymization.
Upload a photo, pick a face-detection model and a blur method, and get back an
anonymized image with all metadata stripped.
Everything runs in the browser. There is no backend, no upload, and no API
call — the image never leaves the machine it was opened on.
Also reachable at the deploy URLs it is served from:
• Vercel — https://privacy-processor-urbanistai.vercel.app
• GitHub Pages — https://kartikdagreat.github.io/privacy-processor-urbanistai/Read the full README ↗The full README is unavailable right now. Read it at the original link. The saved excerpt is shown below.
Remove metadata + face anonymization.
Upload a photo, pick a face-detection model and a blur method, and get back an
anonymized image with all metadata stripped.
Everything runs in the browser. There is no backend, no upload, and no API
call — the image never leaves the machine it was opened on.
Also reachable at the deploy URLs it is served from:
• Vercel — https://privacy-processor-urbanistai.vercel.app
• GitHub Pages — https://kartikdagreat.github.io/privacy-processor-urbanistai/Read the full README ↗