Medianonymizer
Blur It
Redactable
ObscuraCam
Sighthound Video
Scrambled Exif
VEED
Kapwing
DotKernel API
Apigility
API Platform
Medianonymizer removes sensitive data from documents, images, audio and video โ irreversibly. AI locates faces, license plates, spoken PII and personal data; deterministic code destroys it (solid boxes, pixelation, audio beeps, metadata stripping), so nothing can be recovered and every result is auditable and reproducible.
How it works
What makes it different
Used by legal & compliance teams, healthcare and research, HR, journalists, customer support and public sector/CCTV operators.
Available in English, Spanish, German, French, Italian and Portuguese.
Dotkernel API is a PHP REST API application built on top of Mezzio microframework , using Laminas components. DotKernel API is an alternative for legacy Laminas API Tools (formerly Apigility) applications
Medianonymizer DotKernel APIMedianonymizer's answer
It handles all four media types โ documents, images, audio and video โ in one tool, where most alternatives only blur faces in video or images. The AI only locates sensitive data; deterministic code does the actual removal (solid boxes, pixelation, audio beeps, metadata stripping), so results are irreversible, auditable and reproducible instead of a soft, reversible blur overlay. And you review and adjust every detected region before you pay.
Medianonymizer's answer
Three reasons: - Coverage โ it redacts documents and spoken audio PII too, not just faces in video or images. - Control โ you see the exact price and can edit every detected region (rectangle or lasso) before paying, with no account and no subscription. - Compliance โ redaction is irreversible by design (which supports taking data out of GDPR scope), files upload encrypted straight to storage, originals self-delete after processing, and nothing is ever used to train AI.
Medianonymizer's answer
Teams that need to share, publish or archive media without exposing personal data: legal and compliance, healthcare and research, HR and recruitment, journalists and media, customer support (call and chat recordings), and public sector / CCTV operators. It's built for EU and GDPR-conscious users, and available in English, Spanish, German, French, Italian and Portuguese.
Medianonymizer's answer
Anonymizing media properly is tedious and error-prone. Manual blurring in video editors is slow, and most automated tools either handle only one media type or use a reversible blur that isn't truly compliant. Medianonymizer was built to make irreversible, auditable anonymization across documents, images, audio and video fast and self-serve: upload a file, let the AI find the sensitive data, review and adjust it, then pay per job and download โ no account, no subscription.
Medianonymizer's answer
A Next.js and TypeScript frontend (deployed on Vercel), and a Python processing worker that does the heavy lifting: computer-vision face and license-plate detection, spaCy-based PII and named-entity detection for text, and ffmpeg for audio/video redaction and re-encoding. Files use object storage with presigned, encrypted uploads, and payments run through Stripe on a pay-per-job basis.
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