
Airtable
mlsql
SQL Chat
Fieldbook
sqlTranslate
Outerbase
TablePlus
Communicate with databases like a human

FacialHarmonyAI
AttendLab
Amazon Rekognition
Didit Identity Verification
FACE AURA AI
Google Vision AI
FaceFramer.io
Best Facial Recognition API for high accuracy Liveness and Identity.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | friendlydata.io | facialproof.com |
| Pricing | — | |
| Platforms | — | |
| Company | — | Startup from Kosovo · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of FriendlyData yet.
FacialProof is a developer first facial recognition API that delivers real time identity verification, passive and active liveness detection, and advanced anti spoofing. Built for security critical products, it helps platforms stop fraud, verify real human presence, and re authenticate users in...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


No analysis of FriendlyData yet.
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing FriendlyData and FacialProof.
FacialProof's answer:
Developers and companies building secure apps requiring biometric authentication and fraud prevention.
FacialProof's answer:
Founded in Kosovo to deliver fast, reliable, privacy focused biometric verification for modern applications.
FacialProof's answer:
Neural networks, liveness detection algorithms, anti spoofing, facial landmarking, REST API with SDKs.
FacialProof's answer:
Fintech startups
Security SaaS companies
Enterprises using identity verification and fraud prevention
FacialProof's answer:
High accuracy facial recognition with passive & active liveness detection and anti spoofing in one API.
FacialProof's answer:
Faster, more accurate verification with minimal friction and strong privacy protections.
Share your experience with using FriendlyData and FacialProof. For example, how are they different and which one is better?
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