ActiveFence UGC Protection vs LocalMod

ActiveFence UGC Protection is a cloud trust-and-safety layer for social platforms and marketplaces hosting user-generated content. It detects, prevents and responds to online harm through automated moderation, live threat feeds and expert investigation. Alice reports analysis of 750M+ daily signals, coverage across 117+ languages, protection of 3B+ users and 95%+ removal accuracy. Monitoring covers harmful content, viral narratives and coordinated manipulation across languages and regions, with continuous observation of the clear, deep and dark web. ActiveMind gives moderation teams tools to validate, flag and respond across text, images, audio and video. ActiveScore is a REST API returning risk scores for those media types, users and collections. The default API limit is 50 requests per second per project, and an Alice platform account opened by a representative is required. Dedicated analysts, researchers and policy experts investigate threats. Alice says it maintains and is annually audited on a SOC 2 certificate. Pricing is on request, with a demo invitation rather than listed trial terms.

LocalMod is a free content moderation API for text and images that runs on Linux within a self-hosted setup. The project says it can run offline, keeping user data within the user's infrastructure. Text classifiers check for PII, toxicity, prompt injection, spam, and NSFW text; the PII classifier covers emails, phone numbers, Social Security numbers, and credit card numbers. Image moderation detects explicit or adult images. API endpoints support single and batch text analysis, PII redaction, and image analysis from a URL or uploaded file. The README documents Python use, running an API server, and Docker deployment, and includes an example Discord bot for real-time text and image moderation with auto-delete, timeouts, and logging. Offline operation requires downloading the models once and setting LOCALMOD_OFFLINE=1; the documented download is about 3.5 GB and includes the image model. The README recommends a GPU for production workloads and lists CPU and GPU latency estimates by classifier. LocalMod is MIT licensed.