Yes, OpenModeration is completely free and open source under AGPL v3. There are no usage limits, no hidden fees, and no feature restrictions. You can self-host it on your own infrastructure indefinitely without paying anything.

OpenAI Moderation API locks you into a single provider with no visibility into how moderation works. OpenModeration is multi-provider (OpenAI, Azure, HuggingFace, Mistral, custom LLMs), supports bring-your-own-keys (BYOK), is fully open source, provides a dashboard for review, and includes an action engine for automated workflows.

Nima (Tremau) is a proprietary, closed-source platform that requires sharing your content data with their infrastructure. OpenModeration is open source, lets you bring your own API keys, and can be self-hosted with a single docker-compose command — your data stays on your infrastructure.

Checkstep is a proprietary SaaS with per-request pricing. OpenModeration is fully open source (AGPL v3), API-first by design, and built for developers who want to integrate moderation directly into their stack without vendor lock-in or usage-based costs.

OpenModeration provides a complete audit trail of all moderation decisions, configurable data retention policies, and exportable reports — helping platforms meet the transparency and accountability requirements of the EU Digital Services Act (DSA).

Yes, BYOK (bring your own keys) is a core feature. You can configure API keys at three levels: global (shared across all rules), per-provider (used by all rules targeting that provider), and per-rule (overrides all other key settings).

Absolutely. With a single docker-compose up command you get a fully functional instance with PostgreSQL and Redis. No telemetry, no phone-home, no hidden dependencies. Full control over your data and infrastructure.

Yes, our managed cloud SaaS is coming soon starting at $49/month. It includes zero infrastructure management, platform-managed provider keys, priority support, and higher rate limits. Join the waitlist from the pricing page.

Minutes if you are using the REST API for basic moderation. A few hours to deploy the full platform with dashboard, action engine, and connectors if you follow the Docker quick-start guide.

We support OpenAI (including GPT-4o), Azure OpenAI Service, HuggingFace inference endpoints, Mistral AI, and any OpenAI-compatible LLM provider (including Claude via Anthropic's API). Each provider can be configured with custom models and parameters.

Yes, by using LLM-based moderation with custom prompts. Unlike traditional category-based classifiers, you can define arbitrary moderation categories through natural language prompts, letting you tailor moderation to your specific content policies.

The current release focuses on text moderation. Image and video moderation is on the roadmap and will leverage multi-modal LLM providers as they become available.