FacePlugin offers advanced, on-premise SDKs for identity verification, featuring face recognition, passive liveness detection, and ID document analysis. It provides a robust, secure, and developer-friendly solution for eKYC, biometric authentication, and fraud prevention, ensuring data privacy by processing information on-site or on-device.
KBY-AI provides high-accuracy, on-premises identity verification SDKs with a perpetual license. Its solutions include NIST-ranked face recognition, 3D liveness detection, ID document scanning, and palm recognition. The SDKs work fully offline, support multiple platforms, and are designed for easy integration into applications for KYC, security, and access control.
FacePlugin offers advanced, on-premise SDKs for identity verification, featuring face recognition, passive liveness detection, and ID document analysis. It provides a robust, secure, and developer-friendly solution for eKYC, biometric authentication, and fraud prevention, ensuring data privacy by processing information on-site or on-device.
KBY-AI provides high-accuracy, on-premises identity verification SDKs with a perpetual license. Its solutions include NIST-ranked face recognition, 3D liveness detection, ID document scanning, and palm recognition. The SDKs work fully offline, support multiple platforms, and are designed for easy integration into applications for KYC, security, and access control.
| Feature | FacePlugin | kby_ai |
|---|---|---|
| Primary category | Api & Sdk | Api & Sdk |
| Added | 2025-08-12 | 2025-08-13 |
| Pricing | Paid | Paid |
| Official website | faceplugin.com | kby-ai.com |
| Product type | Website | Website |
| Performance data | ||
| User rating | Not verified | Not verified |
| Comments | 0 | 0 |
| Monthly visits | 3.9K | 8.6K |
| Monthly growth | -26.8% | -24.6% |
| Favorites | 93 | 122 |
| Details | View details | View details |
Compare FacePlugin and kby_ai by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
In the FacePlugin vs kby_ai monthly traffic comparison, FacePlugin currently shows 3.9K visits and kby_ai shows 8.6K; kby_ai has about 2.2 times the visible traffic of FacePlugin, an absolute difference of about 4.7K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇳🇬Nigeria | 63.9% | 2.5K |
| 🇺🇸United States | 36.1% | 1.4K |
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇳🇬Nigeria | 40.21% | 3.5K |
| 🇺🇸United States | 35.52% | 3.1K |
| 🇻🇳Vietnam | 14.88% | 1.3K |
| 🇮🇳India | 8.45% | 728 |
| 🇹🇭Thailand | 0.94% | 81 |
This in-depth FacePlugin vs kby_ai comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. FacePlugin is primarily listed under “Api & Sdk”, while kby_ai is primarily listed under “Api & Sdk”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Monthly visits (FacePlugin: 3.9K; kby_ai: 8.6K); Monthly growth (FacePlugin: -26.8%; kby_ai: -24.6%); Favorites (FacePlugin: 93; kby_ai: 122); Website (FacePlugin: faceplugin.com; kby_ai: kby-ai.com); Added (FacePlugin: 2025-08-12; kby_ai: 2025-08-13). These facts are more useful for selection than brand visibility alone.
In the FacePlugin vs kby_ai monthly traffic comparison, FacePlugin currently shows 3.9K visits and kby_ai shows 8.6K; kby_ai has about 2.2 times the visible traffic of FacePlugin, an absolute difference of about 4.7K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
If public market visibility is an important first-pass criterion, investigate kby_ai first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.
FacePlugin and kby_ai currently overlap in shared categories: Api & Sdk and Identity Verification; shared tags: face recognition, identity verification, liveness detection, OCR, and SDK. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
FacePlugin's unique categories/tags are Authentication, anti-spoofing, biometric authentication, developer tools, eKYC, fraud prevention, and on-premise; kby_ai's are Document Management, API, biometric, document scanner, KYC, on-premises, and security. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
FacePlugin has no verified rating, 0 comments, 93 favorites, and 98 likes；kby_ai has no verified rating, 0 comments, 122 favorites, and 131 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Put FacePlugin on the priority trial list when the task aligns with “Api & Sdk” and especially Authentication, anti-spoofing, biometric authentication, developer tools, eKYC, and fraud prevention. This follows recorded positioning and does not imply unlisted capabilities are absent.
FacePlugin also currently records: pricing is paid, product type is website, 3.9K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
Put kby_ai on the priority trial list when the task aligns with “Api & Sdk” and especially Document Management, API, biometric, document scanner, KYC, and on-premises. This follows recorded positioning and does not imply unlisted capabilities are absent.
kby_ai also currently records: pricing is paid, product type is website, 8.6K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in FacePlugin and kby_ai, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.
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