[pc]

It's actually pretty cool (IMO; I'm biased). Drop-in browser-based user authentication that:

* Uses various sophisticated heuristics to detect real vs fake IDs.

* Matches the ID to the human face.

* Detects whether the human face is live or not.

* Dynamically requests more or less information depending on the confidence level.

It also gets better over time based on the attacks and fraud attempts that Stripe itself sees.

[spywaregorilla]

Ahh I see. This is really great.

Those are 4 great bullets btw. They helped me understand the service a lot more than the landing page for identity. Might want to consider a view like this.

[sebmellen]

This is amazing. Did you build all of the scanning logic yourselves?

We’re exploring different options for scanning IDs like Anyline and BlinkID right now, but this looks incredibly well suited for what we’re building and would save us a tremendous amount of time if it works.

[edwinwee]

Yes, we’ve spent a lot of time on the scanning logic—especially to help guide users through photo-taking, since that’s half the battle for a successful verification.

• Document detection

• Blur and glare detection

• Tool-tips during the user flow

[tomjen3]

>* Uses various sophisticated heuristics to detect real vs fake IDs.

This means it will fail for a few individuals and you will be stuck trying to reach support who are going to be pointless and useless.

Mostly this will be an issue with people of non-white ethnic origins and people with older laptops/phones with poorer cameras.

This is obviously a useful product, but it is one the world would be much better of if it didn't exist at all.

[nceqs3]

pc how are you biased? Do you work at Stripe or something?

[gip]

I think pc is one of the Stripe co-founder.

[thanksforfish]

See: https://news.ycombinator.com/user?id=pc