Identity verification technology has evolved rapidly, and the market now offers tools ranging from consumer-facing face search engines to enterprise-grade identity verification platforms. facesearching and Mitek represent two distinct ends of this spectrum. facesearching is a reverse face search tool that lets anyone find someone by photo across 100+ public platforms, while Mitek is a mobile capture and identity verification platform used by banks, financial institutions, and enterprises for check deposits, document verification, and biometric authentication. This detailed comparison explores the key differences between these two tools, their technology, accuracy, pricing, and ideal use cases. For more comparison insights, see our guide on facesearching vs IDnow.
Overview: facesearching vs Mitek
facesearching is built for the consumer and small business market. It is a face search engine that allows users to upload a photo and discover every public online location where that face appears. The tool scans over 100 platforms — social media, news sites, video platforms, and professional networks — and returns results in under a minute. facesearching is designed for anyone who needs to verify a person's online identity quickly, whether for online dating safety, professional background checks, or fraud investigation. Mitek, founded in 1986, is a publicly traded company that provides mobile capture and identity verification solutions to enterprises. Mitek's core products include Mobile Deposit for check capture, Mobile Verify for identity document verification, and MiPass for biometric authentication. Mitek serves over 7,500 organizations worldwide, including major banks and financial institutions.
Technology Comparison
The technology stacks are fundamentally different. facesearching uses face search algorithms that match facial features against publicly available images across the internet. The technology excels at breadth: it can find a person's face across disparate platforms, revealing their digital footprint without requiring the subject's cooperation. Mitek uses computer vision and machine learning for document capture, OCR, and biometric comparison. Mitek's technology is optimized for mobile devices: it can capture clear images of identity documents in challenging lighting conditions, extract data from documents using OCR, and compare document photos to live selfies. Mitek's MiPass product adds voice biometrics for multi-factor authentication. The key difference is that facesearching searches the open web, while Mitek verifies identity documents and biometrics.
Platform Coverage and Data Sources
- facesearching coverage: Scans 100+ public platforms including Facebook, Instagram, Twitter/X, LinkedIn, TikTok, YouTube, VK, news websites, blogs, and video platforms. Results come from publicly available web content — no private databases or government sources are accessed.
- Mitek coverage: Verifies identity documents from thousands of document types across more than 190 countries. Uses government-issued identity document templates and security feature databases for document authentication. Does not search social media or public web content.
- Key difference: facesearching reveals a person's digital footprint — who they are online. Mitek verifies a person's legal identity — who they are on paper.
Pricing Comparison
facesearching offers transparent, consumer-friendly pricing with free preview searches and affordable paid options for full results. Individuals can start using facesearching immediately without contacting a sales team or signing a contract. Mitek operates on an enterprise pricing model with per-transaction fees, volume commitments, and annual contracts. Mitek's pricing is not publicly available and requires engaging with their sales team. For individual users, small businesses, and anyone who needs to perform occasional identity checks, facesearching is dramatically more accessible and affordable. For large enterprises processing millions of identity verifications annually, Mitek's enterprise pricing model may be more cost-effective at scale — but it is not designed for or accessible to individual users.
Best Use Cases: Side-by-Side Comparison
- Online dating verification: facesearching wins. Upload a match's photo to verify their identity. Mitek has no application for personal use cases.
- Mobile check deposit: Mitek wins. Mitek's Mobile Deposit is the industry standard for mobile check capture, used by thousands of banks. facesearching has no check deposit functionality.
- Social media investigation: facesearching wins. Discover a person's online presence across 100+ platforms. Mitek does not search social media.
- Enterprise identity verification: Mitek wins. For financial institutions needing to verify thousands of customer identities daily, Mitek provides compliance-grade solutions.
- Small business background checks: facesearching wins. Verify contractors, employees, and partners without enterprise contracts or per-transaction fees.
- Fraud investigation: facesearching wins. Investigators can discover a subject's digital footprint, identify fake profiles, and trace stolen photos across the web.
The Complementary Approach: Using Both Tools
For organizations that need both investigative capability and compliance-grade identity verification, facesearching and Mitek can be used as complementary tools. facesearching provides the broad investigative layer: before onboarding a high-risk customer, a compliance team can use facesearching to discover the person's digital footprint, identify potential red flags, and build a more complete picture of their identity. Mitek then provides the formal verification layer: document authentication, biometric matching, and fraud detection. This two-tier approach strengthens the overall verification process, combining the breadth of face search with the depth of document verification. To try facesearching, visit the facesearching home page. For another comparison, see facesearching vs Smile Identity.
facesearching finds who someone is online. Mitek verifies who someone is on paper. Together, they cover both sides of the identity verification equation.