{"id":4860,"date":"2026-09-19T15:47:39","date_gmt":"2026-09-19T12:47:39","guid":{"rendered":"https:\/\/imagga.com\/blog\/?p=4860"},"modified":"2026-09-19T15:52:01","modified_gmt":"2026-09-19T12:52:01","slug":"profile-verification-vs-identity-verification-whats-the-difference","status":"publish","type":"post","link":"https:\/\/imagga.com\/blog\/profile-verification-vs-identity-verification-whats-the-difference\/","title":{"rendered":"Profile Verification vs Identity Verification: What\u2019s the Difference?"},"content":{"rendered":"\n<p>Trust is one of the hardest problems for online platforms to solve.<\/p>\n\n\n\n<p>A new account may have a verified email address and phone number, but that does not necessarily mean the profile itself is authentic. A user can still upload someone else&#8217;s photos, create multiple accounts, impersonate another person, publish inappropriate profile images, or return to a platform after previously being blocked.<\/p>\n\n\n\n<p>At the other end of the spectrum, asking every new user to upload a passport, complete a biometric liveness check, and go through a Know Your Customer (KYC) process may introduce unnecessary friction, cost, and privacy concerns.<\/p>\n\n\n\n<p>This creates an important question for dating apps, marketplaces, social networks, gaming platforms, and other online communities:<\/p>\n\n\n\n<p><strong>Do you need to verify a user&#8217;s legal identity \u2014 or do you primarily need to establish that their online profile is authentic and trustworthy?<\/strong><\/p>\n\n\n\n<p>The two problems are related, but they are not the same.<\/p>\n\n\n\n<p>Understanding the difference between\u00a0<strong>profile verification<\/strong>\u00a0and\u00a0<strong>identity verification<\/strong>\u00a0can help platforms choose a verification process that matches their actual risks without adding unnecessary friction to the user experience.<\/p>\n\n\n\n<h2>What is profile verification?<\/h2>\n\n\n\n<p>Profile verification is the process of checking signals associated with an online account to determine whether the profile is authentic and complies with the platform&#8217;s rules.<\/p>\n\n\n\n<p>The objective is usually not to establish a person&#8217;s official legal identity.<\/p>\n\n\n\n<p>Instead, profile verification may try to answer questions such as:<\/p>\n\n\n\n<p><strong>Does the person in one profile photo appear to be the same person shown in the other photos?<\/strong><\/p>\n\n\n\n<p><strong>Does a verification image match the person represented by the profile?<\/strong><\/p>\n\n\n\n<p><strong>Has the same face already appeared across other accounts on the platform?<\/strong><\/p>\n\n\n\n<p><strong>Are the uploaded profile images appropriate and compliant with the platform&#8217;s content policies?<\/strong><\/p>\n\n\n\n<p><strong>Could the account be impersonating another user or reusing previously uploaded visual material?<\/strong><\/p>\n\n\n\n<p>For platforms built around interaction between users, these questions can be just as important as knowing someone&#8217;s legal name.<\/p>\n\n\n\n<p>Imagga, for example, describes applications of visual AI for identifying fake accounts, verifying marketplace profiles, checking dating-profile photos and preventing impersonation through a combination of image recognition, facial recognition and content moderation technologies.\u00a0<\/p>\n\n\n\n<h2>What is identity verification?<\/h2>\n\n\n\n<p>Identity verification goes further. Its purpose is typically to establish that a person is genuinely associated with a real-world identity.<\/p>\n\n\n\n<p>This can involve checking:<\/p>\n\n\n\n<ul><li>government-issued identity documents,<\/li><\/ul>\n\n\n\n<ul><li>a selfie against the photograph on the document,<\/li><\/ul>\n\n\n\n<ul><li>biometric liveness,<\/li><\/ul>\n\n\n\n<ul><li>personal information against external databases,<\/li><\/ul>\n\n\n\n<ul><li>device or fraud signals,<\/li><\/ul>\n\n\n\n<ul><li>and, in regulated industries, additional KYC or anti-money-laundering checks.<\/li><\/ul>\n\n\n\n<p>Identity verification is particularly important where businesses have regulatory obligations or where transactions carry substantial financial or legal risk.<\/p>\n\n\n\n<p>Banks, financial services, cryptocurrency platforms, gambling operators and some mobility or gig-economy services may therefore require stronger identity assurance than a typical social network or online community.<\/p>\n\n\n\n<p>The important distinction is that\u00a0<strong>identity verification is concerned with who a person legally is<\/strong>, while\u00a0<strong>profile verification is concerned with whether an online profile can reasonably be trusted to represent the person behind it<\/strong>.<\/p>\n\n\n\n<h2>Profile verification vs identity verification<\/h2>\n\n\n\n<p>The two approaches overlap, but they solve different problems.<\/p>\n\n\n\n<figure class=\"wp-block-table is-style-regular\"><table><tbody><tr><th><\/th><th>Profile verification<\/th><th>Identity verification<\/th><\/tr><tr><td><strong>Primary question<\/strong><\/td><td>Is this online profile authentic?<\/td><td>Is this person legally who they claim to be?<\/td><\/tr><tr><td><strong>Typical input<\/strong><\/td><td>Profile images, face images, account data<\/td><td>Government ID, selfie\/video, personal information<\/td><\/tr><tr><td><strong>Face comparison<\/strong><\/td><td>Often<\/td><td>Often<\/td><\/tr><tr><td><strong>Duplicate-account detection<\/strong><\/td><td>Highly relevant<\/td><td>May be used as a fraud signal<\/td><\/tr><tr><td><strong>Visual content moderation<\/strong><\/td><td>Highly relevant<\/td><td>Usually not the primary purpose<\/td><\/tr><tr><td><strong>Government ID required<\/strong><\/td><td>Usually no<\/td><td>Often yes<\/td><\/tr><tr><td><strong>Liveness<\/strong><\/td><td>Optional depending on solution<\/td><td>Frequently used<\/td><\/tr><tr><td><strong>KYC\/AML<\/strong><\/td><td>No<\/td><td>Often included in regulated use cases<\/td><\/tr><tr><td><strong>Typical industries<\/strong><\/td><td>Dating, social media, marketplaces, gaming, communities<\/td><td>Finance, crypto, gambling, regulated services<\/td><\/tr><tr><td><strong>Primary objective<\/strong><\/td><td>Platform trust and account authenticity<\/td><td>Identity assurance and regulatory compliance<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>Neither approach is inherently better.<\/p>\n\n\n\n<p>The right approach depends on the level of assurance a platform actually needs.<\/p>\n\n\n\n<h2>Why email and phone verification are not enough<\/h2>\n\n\n\n<p>Most platforms already verify an email address or phone number during account creation.<\/p>\n\n\n\n<p>This is useful, but it proves only that someone has access to that email account or telephone number.<\/p>\n\n\n\n<p>It does not prove that:<\/p>\n\n\n\n<ul><li>the profile photographs belong to the user,<\/li><\/ul>\n\n\n\n<ul><li>multiple profiles are not controlled by the same person,<\/li><\/ul>\n\n\n\n<ul><li>a banned user has not created another account,<\/li><\/ul>\n\n\n\n<ul><li>the user is not impersonating someone else,<\/li><\/ul>\n\n\n\n<ul><li>or uploaded images comply with the platform&#8217;s policies.<\/li><\/ul>\n\n\n\n<p>These gaps matter because fraud and impersonation increasingly start inside legitimate-looking online accounts.<\/p>\n\n\n\n<p>According to the U.S. Federal Trade Commission, <a href=\"https:\/\/www.ftc.gov\/news-events\/news\/press-releases\/2026\/04\/new-ftc-data-show-people-have-lost-billions-social-media-scams\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">nearly 30% of people who reported losing money to scams in 2025<\/a> said those scams began on social media. Reported losses associated with social-media-originated scams reached $2.1 billion. The FTC also notes that scammers can create entirely fake profiles at very low cost and use social platforms to reach people at enormous scale.\u00a0<\/p>\n\n\n\n<p>The availability of generative AI adds another layer to the problem. The FBI&#8217;s 2025 Internet Crime Report notes that AI can be used to create convincing synthetic social profiles and personalized conversations at scale. The report recorded more than 22,000 AI-related complaints associated with over $893 million in adjusted losses during 2025.\u00a0<\/p>\n\n\n\n<p>Online platforms therefore need more than a verified email address to establish trust.<\/p>\n\n\n\n<h2>When full identity verification can be too much<\/h2>\n\n\n\n<p>The opposite problem is also common.<\/p>\n\n\n\n<p>A platform may respond to fraud concerns by considering a full identity-verification workflow for every account.<\/p>\n\n\n\n<p>For some businesses this is necessary.<\/p>\n\n\n\n<p>For others, however, requiring a passport or national identity card before someone can create a social, dating, marketplace or gaming profile may be disproportionate to the risk being addressed.<\/p>\n\n\n\n<p>It can introduce several challenges.<\/p>\n\n\n\n<h3>User friction<\/h3>\n\n\n\n<p>Every additional verification step increases the effort required during onboarding.<\/p>\n\n\n\n<p>Document capture, selfie capture and identity checks can be justified for opening a bank account. Users may be much less willing to complete those steps simply to join a community, list an item for sale or start using a dating application.<\/p>\n\n\n\n<h3>Privacy considerations<\/h3>\n\n\n\n<p>Government IDs contain highly sensitive personal information.<\/p>\n\n\n\n<p>If a platform does not need legal identity to provide its service, collecting identity documents may introduce data-protection responsibilities that could otherwise be avoided.<\/p>\n\n\n\n<h3>Cost<\/h3>\n\n\n\n<p>Sophisticated identity-verification processes may involve document analysis, liveness detection, database verification and fraud checks.<\/p>\n\n\n\n<p>That can make sense for high-value or regulated transactions but can become expensive when applied to every user of a high-volume consumer platform.<\/p>\n\n\n\n<h3>The problem may simply be different<\/h3>\n\n\n\n<p>If the main challenge is that scammers use stolen photographs or repeatedly create fake accounts, checking a passport does not necessarily address the wider visual Trust &amp; Safety problem.<\/p>\n\n\n\n<p>The platform may instead need stronger controls around profile images, duplicate accounts and user-generated content.<\/p>\n\n\n\n<p>This is where profile verification can provide a more targeted approach.<\/p>\n\n\n\n<h2>How visual profile verification works<\/h2>\n\n\n\n<p>A modern visual profile-verification workflow can combine several computer-vision technologies.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img width=\"1024\" height=\"341\" src=\"https:\/\/imagga.com\/blog\/wp-content\/uploads\/2026\/09\/profile_verification_workflow-1024x341.png\" alt=\"Profile verification workflow showing user photo upload, image analysis, face matching, duplicate account detection, content moderation, and the final verified or not verified decision.\" class=\"wp-image-4864\" srcset=\"https:\/\/imagga.com\/blog\/wp-content\/uploads\/2026\/09\/profile_verification_workflow-1024x341.png 1024w, https:\/\/imagga.com\/blog\/wp-content\/uploads\/2026\/09\/profile_verification_workflow-800x267.png 800w, https:\/\/imagga.com\/blog\/wp-content\/uploads\/2026\/09\/profile_verification_workflow-768x256.png 768w, https:\/\/imagga.com\/blog\/wp-content\/uploads\/2026\/09\/profile_verification_workflow-1536x512.png 1536w, https:\/\/imagga.com\/blog\/wp-content\/uploads\/2026\/09\/profile_verification_workflow-2048x683.png 2048w, https:\/\/imagga.com\/blog\/wp-content\/uploads\/2026\/09\/profile_verification_workflow-258x86.png 258w, https:\/\/imagga.com\/blog\/wp-content\/uploads\/2026\/09\/profile_verification_workflow-516x172.png 516w, https:\/\/imagga.com\/blog\/wp-content\/uploads\/2026\/09\/profile_verification_workflow-720x240.png 720w, https:\/\/imagga.com\/blog\/wp-content\/uploads\/2026\/09\/profile_verification_workflow-1032x344.png 1032w, https:\/\/imagga.com\/blog\/wp-content\/uploads\/2026\/09\/profile_verification_workflow-1440x480.png 1440w, https:\/\/imagga.com\/blog\/wp-content\/uploads\/2026\/09\/profile_verification_workflow-2064x688.png 2064w, https:\/\/imagga.com\/blog\/wp-content\/uploads\/2026\/09\/profile_verification_workflow.png 2172w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h3>Face matching<\/h3>\n\n\n\n<p>One-to-one face comparison checks the similarity between two detected faces.<\/p>\n\n\n\n<p>For example, a platform could compare a verification image with an existing profile image.<\/p>\n\n\n\n<p>The result is generally a similarity or confidence score rather than an absolute declaration that two people are identical.<\/p>\n\n\n\n<p>This type of face comparison is probabilistic. AWS, for example, explicitly recommends <a href=\"https:\/\/docs.aws.amazon.com\/rekognition\/latest\/APIReference\/API_CompareFaces.html\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">treating face-comparison results as confidence-based outputs and applying thresholds appropriate to the use case<\/a>.\u00a0<\/p>\n\n\n\n<h3>Face search and duplicate-profile detection<\/h3>\n\n\n\n<p>A different problem occurs when the platform wants to know whether one face already appears elsewhere.<\/p>\n\n\n\n<p>Instead of comparing one image with another image, a&nbsp;<strong>1&nbsp;search<\/strong>&nbsp;compares the detected face against a larger indexed collection.<\/p>\n\n\n\n<p>That enables use cases such as:<\/p>\n\n\n\n<ul><li>\u201cDoes this person already have another profile?\u201d<\/li><\/ul>\n\n\n\n<ul><li>\u201cHas a previously banned account returned?\u201d<\/li><\/ul>\n\n\n\n<ul><li>\u201cIs the same face being used under several identities?\u201d<\/li><\/ul>\n\n\n\n<ul><li>\u201cCould an account network be reusing the same people or images?\u201d<\/li><\/ul>\n\n\n\n<p>Face collections and face-search functionality are supported by computer-vision systems designed for recognition at scale. AWS, for example, allows a supplied face to be searched against all faces stored in a collection.\u00a0<\/p>\n\n\n\n<p>For platforms dealing with repeat fraud or account duplication, this capability may be more useful than basic 1:1 face matching alone.<\/p>\n\n\n\n<h3><a href=\"https:\/\/imagga.com\/use-cases\/content-moderation\" target=\"_blank\" rel=\"noreferrer noopener\">Profile image moderation<\/a><\/h3>\n\n\n\n<p>Authenticity is only part of profile quality.<\/p>\n\n\n\n<p>Platforms also need to determine whether profile images comply with their policies.<\/p>\n\n\n\n<p>AI-powered visual moderation can identify or flag categories such as explicit imagery, violence, harmful content, offensive symbols and other unwanted material.<\/p>\n\n\n\n<p>Automating this analysis helps platforms review high volumes of user-generated images before publishing them or route uncertain cases to human moderators.<\/p>\n\n\n\n<p>Imagga provides AI-powered moderation for images, video and live streaming and positions the technology for social media, dating apps, marketplaces, gaming platforms and Trust &amp; Safety workflows. Its moderation offering can be deployed through cloud and on-premise options.\u00a0<\/p>\n\n\n\n<h3>Liveness detection<\/h3>\n\n\n\n<p>Liveness addresses another question:<\/p>\n\n\n\n<p><strong>Is a real person physically present during the verification attempt?<\/strong><\/p>\n\n\n\n<p>A liveness system can help detect attempts involving printed photographs, images displayed on screens, replayed videos or other spoofing techniques.<\/p>\n\n\n\n<p>For example, Amazon Rekognition Face Liveness uses a short video selfie and returns a probabilistic liveness confidence score. It can then provide a reference image that can be used for subsequent face matching or search.<\/p>\n\n\n\n<p>Liveness can strengthen a verification workflow considerably, but it should not be confused with face matching itself.<\/p>\n\n\n\n<p>A platform can use facial recognition without offering liveness, and liveness alone does not prove someone&#8217;s legal identity.<\/p>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center\">\n<div class=\"wp-block-button is-style-fill\"><a class=\"wp-block-button__link\" href=\"https:\/\/demo.aimoderation.io\" target=\"_blank\" rel=\"noreferrer noopener\"><strong><span class=\"has-inline-color has-white-color\">See profile verification in action<\/span><\/strong><\/a><\/div>\n<\/div>\n\n\n\n<p class=\"has-text-align-center\"><em>Test Imagga\u2019s Profile Verification demo and explore how face matching and visual profile checks can work in a real verification workflow.<\/em><\/p>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<h2>Where Imagga fits<\/h2>\n\n\n\n<p>Imagga should be viewed primarily as a&nbsp;<strong>visual profile authenticity and Trust &amp; Safety technology provider<\/strong>, rather than a traditional KYC or document-identity-verification provider.<\/p>\n\n\n\n<p>The relevant Imagga capabilities include facial recognition, visual content moderation and technologies for analysing user-generated imagery. Imagga specifically describes applications including fake-account identification, marketplace profile verification and dating-profile checks.\u00a0<\/p>\n\n\n\n<p>A platform could therefore use visual AI as part of a workflow that checks:<\/p>\n\n\n\n<p><strong>Profile consistency:<\/strong>&nbsp;Do profile photographs represent the same person?<\/p>\n\n\n\n<p><strong>Account duplication:<\/strong>&nbsp;Does the same face appear in other accounts?<\/p>\n\n\n\n<p><strong>Impersonation risk:<\/strong>&nbsp;Is visual content associated with another known profile?<\/p>\n\n\n\n<p><strong>Profile safety:<\/strong>&nbsp;Do uploaded images comply with platform rules?<\/p>\n\n\n\n<p><strong>Visual Trust &amp; Safety:<\/strong>&nbsp;Do the images contain content that should be blocked, flagged or sent for human review?<\/p>\n\n\n\n<p>Imagga does not currently provide a dedicated biometric liveness solution, selfie-capture SDK or dedicated deepfake\/synthetic-face detector.<\/p>\n\n\n\n<p>It also should not be positioned as a replacement for complete KYC platforms when government-document verification, AML processes or legal identity assurance are required.<\/p>\n\n\n\n<p>Instead, it can provide the&nbsp;<strong>visual verification layer<\/strong>&nbsp;within a wider account-trust architecture.<\/p>\n\n\n\n<h2>Which industries benefit most from profile verification?<\/h2>\n\n\n\n<p>The distinction between profile verification and identity verification becomes particularly useful in industries where people interact with strangers but where full KYC may not always be necessary.<\/p>\n\n\n\n<h3>Dating platforms<\/h3>\n\n\n\n<p>Dating applications face a combination of impersonation, catfishing, stolen photographs, explicit imagery, duplicate accounts and romance scams.<\/p>\n\n\n\n<p>Profile verification can therefore combine face consistency, duplicate-profile detection and image moderation.<\/p>\n\n\n\n<p>The problem has meaningful real-world consequences. FTC data show that nearly 60% of people who reported losing money to a romance scam in 2025 said that the interaction began on social media.\u00a0<\/p>\n\n\n\n<h3>Online marketplaces<\/h3>\n\n\n\n<p>Marketplaces need to establish trust between buyers and sellers while also moderating large volumes of visual content.<\/p>\n\n\n\n<p>Potential checks can include seller-profile verification, repeated account detection and moderation of uploaded profile and listing images.<\/p>\n\n\n\n<p>The same visual AI infrastructure can therefore contribute to both&nbsp;<strong>user trust<\/strong>&nbsp;and&nbsp;<strong>listing quality<\/strong>.<\/p>\n\n\n\n<h3>Social and community platforms<\/h3>\n\n\n\n<p>For social networks, forums and communities, requiring legal identification from every member may be unrealistic.<\/p>\n\n\n\n<p>Profile verification provides an intermediate trust layer by helping identify duplicated or suspicious accounts while simultaneously screening user-generated imagery.<\/p>\n\n\n\n<h3>Gaming platforms<\/h3>\n\n\n\n<p>Gaming communities may face fake accounts, repeated abuse, inappropriate avatars and visual content, scams and account farming.<\/p>\n\n\n\n<p>Here again, the goal is often not proving a user&#8217;s government identity but preventing abuse and creating a safer community.<\/p>\n\n\n\n<h2>Profile verification and identity verification can work together<\/h2>\n\n\n\n<p>This does not have to be an either-or decision.<\/p>\n\n\n\n<p>Platforms can combine different verification levels according to risk.<\/p>\n\n\n\n<p>For example, a marketplace might allow most users to join with basic account and profile verification.<\/p>\n\n\n\n<p>Additional identity checks could then be triggered when:<\/p>\n\n\n\n<ul><li>transaction values become high,<\/li><\/ul>\n\n\n\n<ul><li>fraud signals are detected,<\/li><\/ul>\n\n\n\n<ul><li>a user requests access to sensitive capabilities,<\/li><\/ul>\n\n\n\n<ul><li>regulatory requirements apply,<\/li><\/ul>\n\n\n\n<ul><li>or an account&#8217;s behaviour crosses a defined risk threshold.<\/li><\/ul>\n\n\n\n<p>This creates a layered model:<\/p>\n\n\n\n<p><strong>Basic account verification \u2192 profile authenticity checks \u2192 enhanced verification \u2192 full identity\/KYC verification when necessary.<\/strong><\/p>\n\n\n\n<p>Such a risk-based approach can help platforms add stronger controls where they matter without forcing every legitimate user through the most demanding verification process.<\/p>\n\n\n\n<h2>Choosing the right verification approach<\/h2>\n\n\n\n<p>The starting point should not be:<\/p>\n\n\n\n<p><strong>\u201cWhich identity verification provider should we buy?\u201d<\/strong><\/p>\n\n\n\n<p>It should be:<\/p>\n\n\n\n<p><strong>\u201cWhat exactly are we trying to verify?\u201d<\/strong><\/p>\n\n\n\n<p>If the requirement is:<\/p>\n\n\n\n<p><strong>We need to know this person&#8217;s official legal identity<\/strong>, a KYC or identity-verification provider is likely appropriate.<\/p>\n\n\n\n<p>If the requirement is:<\/p>\n\n\n\n<p><strong>We need to know whether this profile&#8217;s photographs are consistent and trustworthy<\/strong>, face matching may be enough.<\/p>\n\n\n\n<p>If the requirement is:<\/p>\n\n\n\n<p><strong>We need to know whether the same person is creating multiple accounts<\/strong>, a searchable facial-recognition index becomes especially important.<\/p>\n\n\n\n<p>If the requirement is:<\/p>\n\n\n\n<p><strong>We need to prevent inappropriate profile images and unsafe user-generated visuals<\/strong>, content moderation belongs in the workflow.<\/p>\n\n\n\n<p>And when the platform needs several of these capabilities together, profile verification becomes part of a wider\u00a0<strong><a href=\"https:\/\/imagga.com\/blog\/a-detailed-guide-on-content-moderation-for-trust-safety\/\" target=\"_blank\" rel=\"noreferrer noopener\">Trust &amp; Safety architecture<\/a><\/strong>\u00a0rather than a single verification check.<\/p>\n\n\n\n<h2>Building trust without unnecessary friction<\/h2>\n\n\n\n<p>Online platforms increasingly face two competing pressures.<\/p>\n\n\n\n<p>Users expect them to prevent fake profiles, fraud, impersonation and abusive content.<\/p>\n\n\n\n<p>At the same time, legitimate users expect fast onboarding, privacy and a frictionless experience.<\/p>\n\n\n\n<p>The answer is not necessarily to identify every user as aggressively as possible.<\/p>\n\n\n\n<p>It is to apply the&nbsp;<strong>right level of verification for the risk being addressed<\/strong>.<\/p>\n\n\n\n<p>Identity verification is critical when legal identity or regulatory compliance matters.<\/p>\n\n\n\n<p>Profile verification addresses a different but equally important question: whether the account and the visual identity presented to other users can reasonably be trusted.<\/p>\n\n\n\n<p>For dating platforms, marketplaces, gaming communities and social applications, technologies such as face matching, duplicate-account detection and visual content moderation can provide a valuable middle layer between basic email verification and full KYC.<\/p>\n\n\n\n<p>And as fake profiles and AI-assisted scams become easier to create, that middle layer is becoming increasingly important.<\/p>\n\n\n\n<p><strong>Want to explore how visual AI can support profile verification on your platform? Explore Imagga&#8217;s Facial Recognition and Content Moderation technologies or contact our team to discuss your use case.<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Trust is one of the hardest problems for online platforms to solve. A new account may have a verified email [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":4863,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v17.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Profile Verification vs Identity Verification: What\u2019s the Difference?<\/title>\n<meta name=\"description\" content=\"Learn the difference between profile verification and identity verification, when each is needed, and how they help platforms build trust.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/imagga.com\/blog\/profile-verification-vs-identity-verification-whats-the-difference\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" 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