When it comes to identity verification, choosing the right tool can mean the difference between catching a fraudster and letting one slip through. facesearching and IDnow represent two different approaches to identity verification: facesearching is a face search engine that lets you find someone by photo across 100+ public platforms, while IDnow is an enterprise-focused identity verification platform that combines document verification, video identification, and biometric checks. Both tools serve important roles, but they are designed for fundamentally different use cases. This comprehensive comparison examines the key differences between reverse face search with facesearching and identity verification with IDnow, helping you determine which tool — or combination of tools — is right for your needs. For more comparison guides, see our analysis of facesearching vs Mitek.
Overview: facesearching vs IDnow
facesearching is a consumer-focused reverse face search tool that allows anyone to upload a photo and discover where that face appears across the public web. It scans over 100 platforms including social media, news sites, video platforms, and professional networks, returning results in under a minute. facesearching is designed for individuals and businesses who need to verify someone's online identity quickly, without requiring the subject's cooperation or document submission. IDnow, by contrast, is an enterprise identity verification platform that provides KYC (Know Your Customer) and AML (Anti-Money Laundering) compliance solutions. IDnow's flagship products include AutoIdent (AI-powered document and selfie verification), VideoIdent (live video agent verification), and eSigning (qualified electronic signatures). IDnow is primarily used by financial institutions, telecommunications companies, and regulated industries that require legally compliant identity verification.
Technology Comparison
The core technology difference is fundamental. facesearching uses face search technology to match a photo against publicly available images across the internet, providing a broad view of a person's online presence. It does not require the subject to submit documents or participate in the verification process — it works entirely from the photo you provide. IDnow uses a combination of optical character recognition (OCR) for document scanning, biometric facial comparison between the document photo and a live selfie, and liveness detection to prevent spoofing attacks. IDnow's process requires the subject to actively participate by submitting identity documents and completing a selfie check. This makes IDnow more suitable for compliance-heavy scenarios where legal identity verification is required, while facesearching excels at investigative and background research scenarios where the subject's cooperation is not available.
Platform Coverage and Data Sources
- facesearching coverage: Scans 100+ public platforms including Facebook, Instagram, Twitter, LinkedIn, TikTok, YouTube, news websites, blogs, and video platforms. Results are drawn from publicly available web content and do not require access to private databases.
- IDnow coverage: Verifies identity documents from over 195 countries, including passports, national ID cards, and driver's licenses. Uses government and trusted data sources for document validation, but does not search public social media or web content.
- Key difference: facesearching reveals a person's public digital footprint, while IDnow confirms that a person's identity documents are genuine and match their biometric data.
Pricing Comparison
facesearching offers a consumer-friendly pricing model with free preview searches and affordable paid options for full results. The pricing is transparent and accessible to individuals, with no enterprise contracts required. This makes facesearching ideal for personal use, small business verification, and one-off identity checks. IDnow operates on an enterprise pricing model with per-verification fees, volume-based discounts, and annual contracts. Pricing is not publicly listed and requires contacting the sales team for a quote. IDnow's pricing reflects its enterprise focus: it is designed for organizations that need to perform thousands or millions of verifications per year, not for individuals conducting occasional checks. For budget-conscious users who need fast, affordable identity verification, facesearching is the clear winner. For organizations with compliance requirements, IDnow's enterprise pricing is a cost of doing business in regulated industries.
Best Use Cases: Side-by-Side Comparison
- Personal identity verification: facesearching wins. Individuals can upload a photo and verify someone's online identity in under a minute. IDnow is not designed for personal use.
- Online dating safety: facesearching wins. Run a reverse face search to verify a match's photos before meeting. IDnow has no application for this use case.
- KYC/AML compliance: IDnow wins. Financial institutions and regulated businesses require legally compliant identity verification that facesearching is not designed to provide.
- Investigative research: facesearching wins. Journalists, researchers, and private investigators can use face search to discover a subject's online presence across 100+ platforms.
- Bank account opening: IDnow wins. Banks need document verification and biometric matching that meets regulatory standards. facesearching is not designed for this use case.
- Small business background checks: facesearching wins. Small businesses can verify contractors, partners, and employees using face search without enterprise contracts or per-verification fees.
The Synergy: Using facesearching and IDnow Together
For many organizations, the best approach is not to choose between facesearching and IDnow, but to use both as complementary tools. facesearching can be used for initial screening and investigative research — discovering a person's online presence, identifying red flags, and building a comprehensive picture of their digital identity. IDnow can then be used for the formal, legally compliant identity verification required by regulations. This two-layer approach provides both broad investigative insight and narrow legal compliance, creating a more robust verification process than either tool alone. For example, a financial institution might use facesearching to screen potential high-risk customers before onboarding, then use IDnow for the formal KYC process. To start your search, visit the facesearching home page. For another comparison, see facesearching vs Ekata.
facesearching reveals who someone is online. IDnow confirms who someone is legally. Together, they provide a complete picture of identity.