Decision Support · Side-by-side

Incode Deepsight vs iProov. Side by side.

Compare pricing, strengths, and use cases so it is easier to pick the right fit.

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Incode Deepsight

iProov

Best overall

Neither Incode Deepsight nor iProov is for everyday users—both are enterprise-only identity verification tools for businesses, not individuals. If you're a company needing deepfake detection, Incode Deepsight wins on passive liveness; if you need high-accuracy remote onboarding, iProov is the stronger choice. The single biggest difference: Incode focuses on fraud prevention with real-time deepfake detection, while iProov emphasizes secure remote authentication.

Incode Deepsight

Contact Sales #5346 of 3,826 Web

iProov

Contact Sales #3932 of 3,826 Web

Scores at a glance

Incode DeepsightiProovPractical Versatility

Onboarding Ease

Ecosystem Fit

Market Value

Choose Incode Deepsight if

You run a financial platform that needs to verify users in real time without them doing anything active
You're a developer building a fraud prevention system that must detect deepfakes from video streams
Your business requires compliance with strict identity verification regulations across multiple countries
You need passive liveness detection that works even when the user is moving or in low light

Choose iProov if

You're a company that needs to onboard remote users with high confidence they are who they claim to be
You're building a secure login system for a banking app that requires liveness checks
Your organization needs a proven solution for government-level identity assurance
You have a development team that can integrate an SDK and customize the user interface

Key differences

Incode Deepsight specializes in deepfake detection; iProov focuses on remote authentication and liveness
Incode uses passive liveness (no user action); iProov uses active liveness (flash or movement prompts)
Both are enterprise-only, but Incode's pricing is even less transparent (contact sales only)
Neither tool has a mobile app or public API for everyday users
iProov has a longer, more detailed onboarding process (7 steps vs. 4 for Incode)
Incode is categorized under Cybersecurity; iProov is listed under General AI

Facts side by side

	Incode Deepsight	iProov
Free plan
Mobile app
API access

Incode Deepsight: strengths & weaknesses

Real-time deepfake detection works without the user having to blink or turn their head
Strong compliance with global regulations like GDPR and KYC
Passive liveness means the user just looks at the camera—no extra steps
No mobile app or public API—you can't just download and use it
Pricing is enterprise-only, so a regular person can't afford it
Setup requires custom integration work, not plug-and-play
No integrations with common consumer apps or services

iProov: strengths & weaknesses

High accuracy in verifying a real person vs. a photo or video
Strong security with liveness detection that's hard to fool
Easy integration if you're a developer with access to their SDK
No mobile app for end users—you can't just sign up and use it
Higher cost than many alternatives, and no public pricing
Limited integrations with third-party tools
The authentication process can feel intrusive (requires a bright flash on your face)

Common questions

Can I use Incode Deepsight or iProov on my phone as a regular person?

No. Both are enterprise tools that companies integrate into their own apps. You can't download them from an app store or use them directly.

Which is better for detecting deepfakes, Incode Deepsight or iProov?

Incode Deepsight is specifically built for deepfake detection and injection attack prevention, so it's the better choice for that task. iProov focuses more on liveness and authentication, not deepfake analysis.

Is iProov easier to set up than Incode Deepsight?

Both require developer integration, but iProov has more detailed documentation and a longer onboarding process (7 steps vs. 4). Neither is beginner-friendly for non-technical users.

Are there free or cheaper alternatives to these tools?

Yes. For basic liveness detection, services like FaceTec or Onfido offer more accessible pricing. For personal use, your phone's built-in Face ID or Google's Face Match are free but less secure.

Which tool has better compliance for financial regulations?

Both are strong, but Incode Deepsight explicitly mentions global regulatory compliance as a pro, making it slightly more suited for heavily regulated industries like banking.

Can I integrate these tools with my existing app?

Yes, but only if you're a developer. Both provide SDKs and APIs for integration, but neither offers a no-code or low-code option for non-technical users.

Both tools are enterprise-only identity verification systems—great for businesses fighting fraud, but useless for everyday users without a development team and a big budget.

If you're a regular person looking for an AI tool to use on your phone, neither Incode Deepsight nor iProov is for you—they're built for companies, not individuals. For businesses, choose Incode if deepfake detection is your priority, or iProov if you need reliable remote authentication. Either way, expect a significant investment of time and money.

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Detail pages: Incode Deepsight · iProov

Incode Deepsight

iProov

Free plan

Mobile app

API access