Detect hate speech, violence, adult content, misinformation, and 50+ policy violations across text, URLs, and images in real time. Configurable thresholds, batch processing, and human-in-the-loop escalation workflows for platforms that cannot afford content failures.
Every comment, review, listing, and upload on your platform is a potential brand risk, legal exposure, or user-safety incident. Manual review teams cannot keep pace with the volume. Rule-based filters miss context. And a single viral moderation failure can undo years of trust-building.
Platforms processing millions of submissions daily cannot route every piece of content through human reviewers. Even a 0.1% miss rate means thousands of harmful posts reaching audiences before anyone notices. Automated pre-screening is not a nice-to-have — it is the only way to maintain safety at scale without hiring faster than you grow. Every minute of delay between a harmful post and its removal is a minute of exposure for your users and your brand.
The EU Digital Services Act, UK Online Safety Act, and emerging legislation worldwide impose legal obligations on platforms to detect and remove illegal content within hours. Failure to comply means fines calculated as a percentage of global revenue. Compliance requires not just detection capability, but auditable logs proving you acted promptly and consistently. The cost of reactive moderation is no longer just reputational — it is financial and legal.
Users leave platforms where they encounter unchecked hate speech, harassment, or unsafe content. Advertisers pull spend from environments they cannot trust. A single viral moderation failure generates press coverage that no marketing budget can counteract. The platforms that retain users and revenue are the ones that prove, consistently and at scale, that harmful content does not survive on their infrastructure long enough to matter.
Hate speech in one language looks like gibberish to a filter trained on another. Code-switching, transliteration, and cultural context create blind spots that monolingual systems cannot address. A moderation solution that works only in English fails platforms with global user bases — and those are the platforms facing the highest regulatory scrutiny. Our models detect violations across 30+ languages natively, not through translation layers that lose nuance.
Our models are trained on diverse, multilingual datasets and continuously updated to catch evolving patterns of harmful content. Every detection comes with a confidence score and category label for granular policy enforcement.
Detect slurs, coded language, dogwhistles, targeted harassment, and group-based attacks across 30+ languages. The model understands context — distinguishing news reporting about hate crimes from actual hate speech, academic discussion from promotion. Severity scoring differentiates borderline cases from clear violations.
Identify sexually explicit material, nudity, suggestive content, and age-inappropriate material in both text descriptions and URLs. Multi-tier classification distinguishes clinical health content from pornographic material, allowing health platforms to set appropriate thresholds without over-blocking.
Flag graphic violence, self-harm content, weapons glorification, and threatening language. Configurable severity tiers let news publishers allow conflict reporting while blocking gratuitous violence. Self-harm detection triggers priority routing for welfare escalation workflows.
Detect health misinformation, election interference claims, financial scams, and conspiracy theories. Signal confidence scores rather than binary verdicts, so editorial teams make the final call on contested speech. Pattern detection catches coordinated inauthentic behavior.
Define your own violation categories beyond our built-in 50+ types. Marketplace platforms add counterfeit-product rules. Education platforms flag plagiarism signals. Gaming platforms define toxicity specific to their communities. Every custom rule inherits the same confidence scoring and audit logging.
Users do not just post text — they share links. Every URL in user content is classified against our 102M-domain corpus for malware, phishing, adult content, gambling, and 700+ categories. A link to a scam site is just as much a policy violation as the text around it, and our API catches both in a single call.
Every metric is measured against production traffic, not synthetic benchmarks. These numbers reflect the real-world performance that platforms depend on to keep their users safe.
The Content Moderation API integrates into your existing content processing workflow with a single REST endpoint. Submit text or URLs, receive structured violation reports, and route flagged content according to your escalation rules.
Submit text, URLs, or both via the real-time API endpoint. Batch mode processes thousands of items per request for archive moderation and backlog cleanup.
Ensemble models evaluate content across 50+ violation categories simultaneously. URL content is classified against our 102M-domain corpus. Every detection receives a confidence score.
Detections are compared against your configured thresholds per category. Auto-approve low-risk, auto-reject clear violations, and route borderline cases to human reviewers based on your rules.
Structured response includes violations, scores, and recommended actions. Every decision is logged with the policy version active at processing time for regulatory audit trails.
When your application submits content, our pipeline evaluates it against every active policy in your configuration. The response includes all detected violations with confidence scores, severity levels, and the specific text spans that triggered each detection — so your moderation dashboard can highlight exactly what was flagged and why.
Because content can violate multiple policies simultaneously, our API returns all applicable violations rather than stopping at the first match. A single post can be flagged for hate speech, self-harm references, and a malicious URL at the same time, giving your moderation team the complete picture in one API call.
Automated moderation has a mixed reputation. Some of these concerns are outdated; others require honest answers about what automation can and cannot do.
Submit text or a URL to our live demo and see real-time violation detection with confidence scores. No sign-up, no credit card, no time limit.
