AI can fake content. HashCam proves what’s real.

HashCam is a software application designed to establish cryptographic proof of authenticity for digital media, including photos and videos. In response to the growing prevalence of AI-generated synthetic content, HashCam provides a technical solution for verifying whether media files have been altered after capture. The product targets professionals who require verifiable evidence in contexts where authenticity is legally or operationally critical, such as insurance, construction, legal proceedings, supply chain management, and field reporting.
The application operates across multiple platforms—iOS, macOS, and specialized integrations for DJI drones—and supports both individual users and enterprise deployments via custom software and API integrations. HashCam does not store media in the cloud; verification relies on local file analysis and blockchain-stored cryptographic seals.
When a user captures media using HashCam, the application computes a cryptographic hash of the raw file and embeds it alongside verified metadata—including GPS coordinates, device model, timestamp, and orientation—into a digital seal. This seal is cryptographically signed and recorded immutably on a public blockchain. The original media file remains unaltered and stays on the user’s device.
Verification is performed independently: users can upload the original media file and its corresponding certificate to HashScanner.io, which recalculates the hash and checks blockchain records to confirm whether the file matches the sealed state. No central database or cloud storage is involved in either sealing or verification. For enterprise use, HashCam offers APIs and custom software that integrate this sealing and verification logic into existing inspection, documentation, or compliance systems.
HashCam addresses verification challenges in high-stakes domains where digital evidence must withstand scrutiny. In insurance claims, it enables rapid validation of loss documentation without reliance on third-party intermediaries. In construction and real estate, it supports time-stamped, geolocated progress reporting and defect documentation. For supply chain quality control, it provides auditable proof of product condition at each stage. Legal and intellectual property applications benefit from court-admissible evidence chains, while NGOs use it for credible field reporting in environments where misinformation risks are high. Its compatibility with EU Digital Product Passport standards also positions it for regulatory compliance in manufacturing and sustainability reporting.