Competitor Comparison

facesearching vs Onfido — Complete Comparison

Last updated: August 15, 2026

Find anyone by photo — in seconds

facesearching scans 100+ social platforms, news sites and videos from a single photo. Free preview, photos deleted after search.

facesearching and Onfido both touch on identity and faces, yet they exist for fundamentally different reasons and serve different users. facesearching is a reverse face search engine that takes a photo and finds where that face appears across the public web, built for individuals and investigators. Onfido is an enterprise identity verification platform that helps businesses confirm a customer matches their government-issued ID through a live selfie and document check. Picking between them is not a matter of superiority but of fit, because each solves a distinct problem. This comparison covers features, approach differences, pricing, use cases, and limitations so you can decide which one matches your goal. If you are also evaluating other vendors, our facesearching vs Veriff comparison examines a close peer of Onfido.

What Each Service Does

facesearching is a discovery tool. You upload an image, the engine searches a broad index of publicly available content, and it returns clickable links to every place the face shows up, including social media, news sites, blogs, and videos. No identity document is required, no account is needed to preview results, and there is no business integration, because it is a consumer-facing search engine. Onfido is a confirmation tool. A business embeds Onfido into its onboarding flow, the user photographs a government ID and takes a live selfie, and Onfido verifies the document is authentic, the selfie matches the document photo, and the user is live and present. The output is a verification decision rather than a list of web links. Where facesearching searches outward from one face to many public sources, Onfido verifies inward between one selfie and one document, which is the core distinction that shapes everything else.

Features and Approach Differences

The feature sets flow directly from those opposite directions. facesearching's core is web-scale face matching: it detects a face, extracts a biometric template, compares it against templates indexed across the public web, and returns ranked matches with confidence indicators that tolerate variations in angle, lighting, and image quality. Onfido's stack is document-centric and broader, combining document verification through OCR and security-feature analysis, biometric face matching between the ID photo and a live selfie, liveness detection to confirm physical presence, and risk scoring that aggregates every signal into a decision delivered via API and SDK. The face-matching sophistication is comparable, but the query direction is reversed: facesearching asks where else this face appears, while Onfido asks whether this selfie matches this ID. To understand the search side of that divide, our complete guide to reverse face search explains the underlying technology.

facesearching discovers where a face has been across the open web. Onfido confirms who a face belongs to against a government document. One is a search engine; the other is a verification gate, and that difference defines everything that follows.

Pricing Models

Pricing reflects the different audiences. facesearching uses transparent, consumer-friendly pricing: a low-cost single search with no recurring commitment, plus Starter and Pro plans for heavier use, with no contract or integration required. You pay only for the searches you run, which makes it accessible to individuals and small teams. Onfido operates on an enterprise model, with pricing based on verification volume and negotiated per contract, and no pay-per-single-verification option for an individual consumer, because Onfido is sold to businesses that integrate it into their platforms. For individuals and small organizations, facesearching's no-commitment model is far more accessible; for enterprises running thousands of KYC checks, Onfido's volume-based model is standard. For a practical look at the consumer side, our step-by-step guide to reverse face search shows what an individual workflow actually looks like.

Use Cases

The use cases rarely overlap. facesearching answers where does this face appear online, making it ideal for OSINT investigations, catfish detection, finding lost contacts, verifying that a profile photo is genuine, due diligence on founders and sellers, and monitoring your own image for impersonation. Onfido answers is this person who their ID says they are, making it ideal for fintech onboarding, marketplace seller verification, gig-platform worker screening, and any business with regulatory KYC obligations. You cannot use Onfido to find a stranger's social media profiles, and you cannot use facesearching to authenticate a government ID. The tools occupy complementary niches, and in some organizations they coexist, with Onfido handling formal customer onboarding and facesearching supporting open-source due diligence. For most users, though, one clearly fits the need rather than both.

Limitations

Each platform has clear limits rooted in its design. facesearching cannot verify government ID documents, meet KYC compliance requirements, or find someone whose face has never appeared publicly online, and its results depend on the quality and recency of indexed web content, which means coincidental resemblances and outdated images can create noise. Onfido cannot search the web to find where a face appears, surface social media profiles or news articles, or be used by an individual to verify a stranger, because it is encountered only as a subject inside a business onboarding flow. Both perform best with clear, front-facing photos and can struggle with masks, extreme angles, or very low resolution, topics explored in our guide on how accurate face search technology is. Recognizing these limits is essential, because no single tool covers every identity question, and the legal landscape for both is covered in our reverse face search legality FAQ.

Which Should You Choose?

Choose facesearching if your goal is to find where a face appears online, no contract or integration required, whether you are investigating a catfish, performing due diligence, finding a lost contact, or protecting your own image. Choose Onfido if you are a business that needs KYC-compliant identity verification against government documents for regulatory compliance, fraud prevention, or secure onboarding. The two are not substitutes; they address different stages of trust, with facesearching helping you discover and investigate and Onfido helping you confirm and comply. In some cases an organization might use both, but for most users one clearly fits. When you are ready to search a face, try facesearching now and get results across 100+ platforms in under 60 seconds.

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Frequently Asked Questions

Is facesearching better than Onfido?

They solve different problems, so neither is universally better. facesearching is a reverse face search engine that finds where a face appears across the public web, built for individuals. Onfido is an enterprise identity verification platform that confirms a person matches their government ID, built for businesses with KYC needs. If you want to find someone online from a photo, facesearching is the right tool; if you are a business verifying customer identity, Onfido is the right tool.

Can Onfido find someone online by photo?

No. Onfido verifies that a person's selfie matches their government-issued ID and that they are live and present. It does not search the public web for where a face appears and cannot surface social media profiles or news articles. To find someone by photo across the web, you need a reverse face search engine like facesearching.

How do their pricing models compare?

facesearching uses transparent pay-as-you-go pricing starting at a low-cost single search with no contract, plus Starter and Pro plans, making it accessible to individuals. Onfido operates on an enterprise model with pricing based on verification volume and negotiated contracts, with no consumer pay-per-search option. facesearching is far more accessible for personal use, while Onfido suits high-volume enterprise KYC.

What are the main limitations of each?

facesearching cannot verify government IDs, meet KYC requirements, or find faces that have never appeared publicly online, and its results can include coincidental matches or outdated images. Onfido cannot search the web for where a face appears, surface social profiles, or be used by an individual to verify a stranger, since it lives inside business onboarding flows. Both work best with clear, front-facing photos and can struggle with poor image quality.

Can a business use both facesearching and Onfido?

Yes, complementarily. A business might use Onfido for formal KYC-compliant customer onboarding and facesearching for open-source due diligence, fraud investigation, or detecting impersonation across the web. They address different stages of the trust lifecycle, one confirming identity against documents and the other discovering a person's public footprint, and can coexist effectively.

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