Fake ID and deepfake detection for onboarding

Yes. ID images are checked for edited photos and details, rebuilt templates, signs of AI generation and camera data that conflicts with how the image was supposedly captured. Each finding is marked on the image with its strength, so a reviewer can see what looked wrong and decide whether to ask for another document or a live check.

Yes. Selfies are checked for AI generation and editing, and recorded or live video for face swaps and other generation traces. Findings are marked on the frames where they appear. A flag is a reason to step up verification, not proof that the person is not who they claim to be.

No. Trustable checks whether the files in an onboarding flow were edited or generated. It does not perform liveness detection, biometric matching or database lookups, and it works alongside the identity verification provider you already use rather than replacing it.

Through the API or the Trustable web app. Send an ID image, selfie, video or proof-of-address document and get back the findings, where they are and how strong each one is. Routing results into your onboarding workflow is in development.

No. A flag means a file needs a closer look. Genuine images are cropped, compressed and re-saved for innocent reasons, and that can look like editing. Trustable shows what it found, where and how strong the signal is; your team decides what to ask for next.