facesearching and FacePhi both use facial recognition, but they sit at opposite ends of the spectrum. facesearching is a consumer reverse face search engine that takes a photo and finds where that face appears across the public web. FacePhi is an enterprise biometric authentication and identity verification platform, best known for its work with banks and financial institutions, that confirms a customer is who they claim to be during onboarding and login. Comparing them fairly means understanding that they answer different questions. This detailed comparison covers features, accuracy, privacy, pricing, and use cases so you can choose the right tool. For a related enterprise comparison, see our facesearching vs Veriff comparison.
Overview of Both Services
facesearching is designed for individuals and investigators who want to find someone's online presence from a single photo. You upload an image, and the engine searches a broad index of publicly available social media, news, blogs, and videos, returning clickable links to every place the face appears. There is no ID document required and no business integration needed. FacePhi, by contrast, provides enterprise-grade biometric solutions: selfie-based identity verification during onboarding, biometric authentication for logins, and liveness detection to prevent spoofing. Its customers embed these capabilities into their apps so that users prove their identity with a selfie matched to a government ID, then authenticate future sessions with their face. The output is a verification or authentication decision, not a list of web links.
Feature Comparison
- facesearching: reverse face search across social media, news, blogs, and video; clickable result links with context; match confidence scoring; consumer upload-and-search interface
- FacePhi: selfie-based identity verification, biometric authentication, liveness detection, document matching, and onboarding workflows delivered as an enterprise SDK and API
- Shared ground: both use deep-learning face matching, but facesearching searches outward across the web while FacePhi verifies inward against an enrolled identity
facesearching discovers where a face has been. FacePhi confirms who a face belongs to right now. One is a search engine for individuals; the other is a verification gate for enterprises.
Accuracy
Accuracy is measured differently for each. FacePhi's accuracy is about correctly verifying a claimed identity and rejecting impostors, with liveness detection preventing photo and video spoofing, a task at which enterprise systems are highly refined. facesearching's accuracy is about correctly matching a face across millions of public web images and ranking true matches highly, a web-scale problem that must separate genuine matches from coincidental resemblances. Both perform best with clear, front-facing photos, and both can struggle with masks, extreme angles, or very low resolution. facesearching reports match confidence so you can judge each result. For more on the search side, read our guide on how accurate face search technology is.
Pricing Models
facesearching uses transparent, consumer-friendly pricing: a $2 single search with no recurring commitment, a $29 Starter plan, and a $79 Pro plan. You pay for searches you actually run, with no contract or integration required. FacePhi operates on an enterprise model: pricing is negotiated per contract based on verification and authentication volume, deployment scope, and service level. There is no pay-per-single-search option for an individual consumer, because FacePhi is sold to businesses that integrate it into their platforms. For individuals and small teams, facesearching's model is far more accessible; for enterprises running large-scale biometric programs, FacePhi's model is the standard.
Privacy Approach
Privacy is handled differently because the data differs. facesearching processes a user-uploaded photo transiently: the image is used for the search and deleted immediately afterward, with no biometric database of submitted faces retained. This minimizes the data footprint. FacePhi, by necessity, handles more sensitive data: government ID documents, live selfies, and enrolled biometric templates that must be retained for ongoing authentication. As an enterprise vendor serving regulated industries, FacePhi operates under stringent compliance frameworks and follows encryption and retention standards. Both take privacy seriously, but facesearching handles a single deleted photo while FacePhi manages persistent biometric records for compliance and audit. The legal landscape for both is covered in our legality FAQ.
Use Cases
- Choose facesearching to: find someone by photo, verify an online date, detect catfishing, monitor your own image, perform due diligence, or investigate a suspicious profile
- Choose FacePhi to: onboard bank customers with selfie verification, enable passwordless biometric login, prevent account takeover with liveness detection, or meet financial KYC requirements
- Complementary use: a financial institution might use FacePhi for customer authentication and facesearching for open-source due diligence on high-risk clients
Which Should You Choose?
Choose facesearching if your goal is to find where a face appears online, no coding or contract required. Choose FacePhi if you are a business, especially in financial services, that needs secure biometric onboarding and authentication. The two are not substitutes; they address different stages of trust. facesearching helps you discover and investigate; FacePhi helps you verify and authenticate. Knowing which you need is the first step. When you are ready to search a face, try facesearching now.