Besedo vs LocalMod
Besedo
besedo.comLocalMod
github.comSide by side
| Figure | Besedo | LocalMod |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · AI Content Moderation Software | 7.9 (#11) | 7.5 (#19) |
Plans
In their own words
Besedo
Besedo moderates user-generated content for platforms seeking to detect fraud, scams and harmful material in real time. Its API supports text, images, videos, reviews, chats and other user content, and its listed moderation capabilities also include audio. AI automation and smart filters handle moderation alongside human moderators for complex or sensitive cases. Customers can create, edit or import filters and rule logic in an editor. The Implio dashboard presents performance statistics, refusal reasons and insights for refining moderation, while a RESTful HTTP API integrates the service with customer platforms. Besedo offers cloud deployment and says its system can scale to platforms processing millions of items per day. It reports an average response time below 50 milliseconds for real-time moderation and 50 milliseconds for chat, and says it supports more than 100 languages natively. Its customers include marketplaces, dating apps, gaming platforms, media companies and online communities. Pricing is available on request; a free trial includes 10,000 moderated pieces per month and unlimited users.
LocalMod
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.