Alibaba Cloud Content Moderation vs LocalMod
Alibaba Cloud Content Moderation
alibabacloud.comLocalMod
github.comSide by side
| Figure | Alibaba Cloud Content Moderation | LocalMod |
|---|---|---|
| Price from | $0.09/mo | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Linux | — | Yes |
| iOS | Yes | — |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 12 | 1 |
| Spec score · AI Content Moderation Software | 8.7 (#3) | 7.5 (#19) |
Plans
Alibaba Cloud Content Moderation
- Pay-as-you-go — Standard text moderation$0.30 a month
- Pay-as-you-go — Standard image moderation$0.60 a month
- Pay-as-you-go — Standard voice moderation$9 a month
- Pay-as-you-go — Standard video moderation$8.10 a month
- Pay-as-you-go — Standard document moderation$0.09 a month
- Document Moderation 2.0 standard$0.09 a month
- Content Moderation 2.0 standard text$0.30 a month
- Content Moderation 2.0 advanced text$0.60 a month
- Content Moderation 2.0 standard image$0.60 a month
- Content Moderation 2.0 advanced image$1.20 a month
In their own words
Alibaba Cloud Content Moderation
Alibaba Cloud Content Moderation has no write-up on Specifiction yet; its figures are above.
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.