Protect your users with AI-powered moderation built for dating platforms. Detect romance scams, screen profile photos, prevent harassment in DMs, verify identities, and safeguard against predatory behavior -- all in real time with 99.9% accuracy and sub-200ms latency.
Dating and social discovery platforms operate in one of the most sensitive digital environments. Users share personal photographs, intimate messages, and vulnerable emotions -- making robust content moderation essential for building trust, retaining users, and preventing real-world harm.
Automatically screen every uploaded photo for nudity, explicit content, violence, and policy violations. Our AI distinguishes between tasteful dating photos and inappropriate imagery, ensuring profile galleries remain safe for all users while respecting authentic self-expression.
Detect and block unsolicited explicit images sent through private messages in real time. Protect users from unwanted exposure to NSFW content with context-aware detection that understands the difference between consensual sharing and unwanted explicit material.
Identify romance scam patterns including love bombing, financial requests, urgency tactics, and emotional manipulation. Our models are trained on thousands of confirmed scam conversations to detect fraud before victims suffer financial or emotional damage.
Analyze profile photos for stolen imagery, AI-generated faces, and inconsistencies across profiles. Cross-reference behavioral signals, communication patterns, and metadata to identify catfishing attempts and protect users from deceptive identities on your platform.
Monitor direct messages for harassment, threats, abusive language, persistent unwanted contact, and intimidation. Real-time intervention prevents toxic interactions from escalating while maintaining user privacy through privacy-preserving analysis techniques.
Integrate seamless identity verification workflows including selfie-to-profile photo matching, document verification, and liveness detection. Build verified user badges that increase match rates and platform trust without creating friction in the onboarding process.
Every message exchanged on your dating platform passes through our real-time safety pipeline. Our AI analyzes text, images, links, and behavioral context to detect threats before they reach the recipient. The system operates with sub-200ms latency, ensuring that users experience zero delay in their conversations while remaining fully protected.
Message safety scanning goes beyond simple keyword matching. Our natural language processing models understand context, tone, and intent -- distinguishing between playful banter and genuine threats, between consensual flirtation and unwanted advances. The system learns from millions of real dating conversations to provide culturally aware, contextually accurate moderation decisions across more than 100 languages.
Romance scams represent one of the most devastating threats in online dating. Victims lose an average of tens of thousands of dollars and suffer lasting emotional trauma. Our scam detection network identifies fraudulent behavior patterns at every stage of the scam lifecycle -- from initial contact through financial exploitation attempts.
The system analyzes conversation progression, message velocity, emotional escalation patterns, and financial request indicators to flag suspicious accounts before they can cause harm. Our AI has been trained on a massive corpus of confirmed romance scam interactions, enabling it to recognize the subtle behavioral signatures that distinguish genuine users from professional scammers operating across international networks.
Advanced graph analysis connects related scam accounts, identifies coordinated fraud rings, and tracks known scammer behavioral fingerprints across your platform. When a scam account is detected, the system automatically cross-references related accounts to dismantle entire fraud operations rather than addressing individual accounts in isolation.
Protecting minors is the most critical responsibility for any dating platform. Our comprehensive age verification and underage detection system combines multiple signals to ensure that only age-appropriate users access your platform, meeting regulatory requirements and safeguarding vulnerable populations.
Integrate government ID verification with automated document analysis, OCR extraction, and fraud detection. Verify user ages with high confidence while maintaining a streamlined onboarding experience. Support for passports, driver's licenses, and national ID cards from over 200 countries.
Our facial analysis models estimate apparent age from profile photos and selfies, flagging accounts where the user appears significantly younger than their stated age. This serves as an additional detection layer working alongside document verification to catch minors attempting to circumvent age gates.
Analyze writing patterns, vocabulary usage, conversation topics, and platform interaction styles to identify behavioral signals consistent with underage users. Machine learning models detect subtle linguistic cues that differ between adult and minor communication patterns across diverse demographics.
Meet COPPA, age-gating, and regional age verification requirements worldwide. Automated compliance reporting, audit trails, and configurable policies ensure your platform meets the strictest regulatory standards in every market you serve, from the EU Digital Services Act to US state-level mandates.
Sophisticated AI models identify predatory behavior patterns, screen bio text for policy violations, and maintain a safe environment across every touchpoint of the user experience on your dating platform.
Our AI monitors for grooming patterns, power imbalance exploitation, and predatory targeting behaviors that indicate a user may pose a safety threat to others. The system analyzes entire interaction histories rather than individual messages, identifying concerning behavioral trajectories that would be invisible when examining isolated conversations.
Key detection capabilities include identifying users who systematically target vulnerable individuals, analyzing age-gap seeking patterns combined with manipulative messaging, detecting isolation tactics used by predators, and recognizing escalation patterns that precede harmful real-world encounters. The system adapts continuously as predatory tactics evolve, leveraging our global dataset of flagged interactions to stay ahead of emerging threats.
Every profile bio, prompt response, and text field is screened for policy violations including hate speech, discriminatory preferences, solicitation, coded language for illegal activities, and contact information sharing that bypasses platform communication channels. Our NLP models understand the nuanced ways users embed prohibited content in dating profiles, including emoji-based codes, intentional misspellings, and multilingual obfuscation techniques.
Beyond policy enforcement, bio screening identifies red flags associated with scam accounts, sex trafficking indicators, and commercial exploitation. The system also supports positive curation by flagging profiles that may benefit from content suggestions, helping genuine users create more engaging and authentic profiles.
A dating platform's safety infrastructure extends far beyond content screening. Our moderation API powers an entire ecosystem of trust and safety features including location protection, user trust scoring, reporting workflows, and ban evasion detection.
Protect user location data with intelligent proximity controls that prevent exact location exposure while enabling meaningful nearby matching. Our system detects and blocks attempts to extract precise locations through social engineering, triangulation techniques, and metadata exploitation. Geo-fencing capabilities allow platforms to implement safe zones, restrict access in certain regions, and provide location-based safety alerts when users plan to meet in person for the first time.
Power your user reporting workflows with AI-assisted triage that prioritizes reports by severity, categorizes violations automatically, and provides human moderators with contextual evidence packages for faster resolution. Our system correlates reports across users to identify serial offenders, detects report abuse and weaponized reporting, and ensures legitimate safety concerns receive immediate attention. Intelligent blocking systems prevent blocked users from creating new accounts to circumvent restrictions.
Implement dynamic trust scores that reflect user behavior over time. Verified identity, positive interactions, response patterns, report history, and platform tenure all contribute to a composite trust score. High-trust users can receive visibility benefits while low-trust accounts face increased scrutiny and restricted capabilities. Trust scores are designed to be fair, transparent, and resistant to gaming by malicious actors seeking to build false credibility before engaging in harmful behavior.
Banned users frequently attempt to return using new accounts, different devices, and altered identities. Our ban evasion detection system uses device fingerprinting, behavioral biometrics, writing style analysis, photo similarity matching, and network pattern analysis to identify returning banned users with high accuracy. The system maintains a constantly evolving adversarial model that adapts as ban evaders develop new circumvention techniques, ensuring that dangerous users cannot simply create fresh accounts to continue harmful behavior on your platform.
Our API is designed for the specific requirements of dating and social discovery platforms. From profile screening during onboarding to real-time message moderation during live conversations, every endpoint is optimized for the dating use case.
RESTful endpoints for profile and photo screening at upload time. WebSocket connections for real-time message moderation during live chat sessions. Both interfaces return structured moderation decisions with confidence scores, category labels, and recommended actions within sub-200ms latency targets.
Native iOS and Android SDKs with on-device pre-filtering for the fastest possible response times. Client-side models handle initial screening while server-side deep analysis runs asynchronously. Reduce bandwidth costs and improve UX with intelligent local-first moderation that escalates to cloud when needed.
Screen your existing user base retroactively with batch processing endpoints. Upload millions of profiles, photos, and conversation histories for comprehensive safety audits. Identify previously undetected policy violations, dormant scam accounts, and legacy content issues across your entire user database.
Configure moderation thresholds, category definitions, and enforcement actions specific to your platform's community guidelines. Different policies for different user segments, regions, and feature areas. A/B test policy changes with traffic splitting before rolling out globally across your user base.
Common questions about implementing content moderation for dating and social discovery platforms.
Join leading dating and social discovery apps that use AI-powered moderation to protect their users and grow engagement. Start with a free demo today.