Osintir

What is Osintir?

Osintir is a content protection and digital identity platform that helps creators and organizations protect images and videos online. It embeds invisible AI watermarking, generates cryptographic proof of ownership for each uploaded file, and continuously monitors the web for unauthorized use.

Beyond protection, Osintir includes AI-based deepfake detection and face identity tracking to help identify when faces appear in deepfakes, face swaps, or synthetic media. The platform is built in Finland and described as GDPR compliant.

Key Features

• Invisible AI watermarking using DCT/DWT frequency-domain techniques to help persist through cropping, filtering, and re-encoding.
• Cryptographic proof of ownership with a SHA-256 fingerprint and an authenticity certificate generated for every protected file.
• Deepfake detection using AI methods that include CLIP embeddings, FaceNet identity matching, and deepfake artifact classifiers.
• 24/7 web monitoring that continuously scans social media platforms and the open web for unauthorized use.
• Real-time alerts to notify users when misuse, content theft, or identity abuse is detected.
• Face identity tracking to detect when a user’s face appears in deepfakes, face swaps, or synthetic media.
• C2PA content provenance compatibility with global content authenticity standards.

How to Use Osintir

1. Choose a plan and create an account.
2. Upload the image or video you want to protect.
3. Osintir embeds the invisible watermark and generates a SHA-256 fingerprint and ownership certificate for the file.
4. Once uploaded, Osintir starts monitoring the web for unauthorized use.
5. Review real-time alerts and use the deepfake detection capabilities to assess potential synthetic or unauthorized reuses.

Use Cases

• Creators and influencers protecting posts: Upload images or videos to embed invisible watermarking and start web monitoring to reduce the risk of unauthorized reposting.
• Public figures and politicians responding to identity misuse: Use deepfake detection and face identity tracking to flag when their face appears in synthetic media such as deepfakes or face swaps.
• Brands tracking unauthorized use of media assets: Monitor social media platforms and the open web for reuse of protected brand images or videos and receive alerts when misuse is detected.
• Journalists verifying origin and ownership: Rely on cryptographic proof of ownership (SHA-256 fingerprint plus authenticity certificate) to support provenance checks for files under investigation.
• Teams managing ongoing exposure risk: Run continuous scanning via 24/7 web monitoring and use real-time alerts to coordinate review when content theft or identity abuse is detected.

FAQ

• What types of content can Osintir protect? The plans described include image protection on the Free and Creator plans, while the Pro plan includes both image and video protection.

• How does Osintir generate ownership proof? For each uploaded file, Osintir generates a cryptographic SHA-256 fingerprint and an authenticity certificate.

• Does Osintir only detect deepfakes, or also monitor for unauthorized posting? It does both: it includes deepfake detection and also performs 24/7 web monitoring to find unauthorized use across the open web and social media.

• Will the watermark survive changes like cropping or re-encoding? The platform states that its invisible AI watermarking uses DCT/DWT frequency-domain techniques intended to survive cropping, filtering, and re-encoding.

• Is Osintir compatible with content authenticity standards? Osintir is described as C2PA content provenance compatible.

Alternatives

• Digital watermarking and media tagging tools (non-monitoring): Tools focused on embedding watermarks or tags without continuous web monitoring and alerting. These may fit teams that only need proof embedded in the media, not detection across the web.
• Deepfake detection services: Platforms dedicated primarily to identifying synthetic media, typically used during verification workflows rather than as an end-to-end ownership and monitoring system.
• Digital asset management (DAM) with rights controls: Systems that help manage and restrict assets through access and governance rather than cryptographic fingerprints and watermark-based proof.
• Content provenance platforms (e.g., C2PA-oriented workflows): Tools that emphasize provenance and standards-based metadata. They may complement or replace parts of an authenticity workflow but may not include watermarking, deepfake detection, or web monitoring as described by Osintir.