Detoxify
Detoxify: A focused, free library for developers detecting toxic text locally. Ranked #26 of 27 in AI Content Moderation Software by our editors (6.5/10); pricing: Free plan; best for developers needing free self-hosted text detection.
At a glance
- Editor score6.5 / 10
- PricingFree plan
- Best forDevelopers needing free self-hosted text detection
- Free planYes
- Paid fromFree
- Text moderationYes
- Facts checked21 Sep 2026
Where it wins
- Open-source and free for local deployment
- Supports multilingual, multi-label toxicity detection
- Offers single-text, batch, CPU, and CUDA inference
Where it doesn't
- Covers text only, not image, audio, or video
- Does not provide custom policy controls
- Includes no human-review workflow
Our verdict on Detoxify
Detoxify is an open-source Python library for detecting toxic comments with trained transformer models. It is intended for developers, researchers, and content-moderation teams that need local text classification rather than a hosted moderation workspace. The model family includes original BERT, unbiased RoBERTa, multilingual XLM-R, and lightweight ALBERT variants. Outputs cover toxicity and related categories such as threats, obscenity, insults, and identity attacks, with multilingual classification across seven languages.
The published project is free and supports self-hosted inference, so there is no paid plan structure to compare. Developers can run predictions on individual texts or in batches, using CPU or CUDA inference according to their environment. PyTorch Hub checkpoint loading is also supported. This makes the library a practical fit for teams that want model checkpoints and local execution within a Python-based workflow. Its stated uses include research, fine-tuning, and helping moderators flag harmful text more quickly.
Detoxify’s main trade-off is its narrow scope. It classifies text, but it does not cover image, audio, or video moderation, custom policy controls, or human-review operations. Teams seeking an end-to-end moderation system will need to provide those surrounding capabilities themselves. Choose Detoxify when open-source model access, local deployment, multilingual text detection, and CPU or CUDA inference are the priorities. Choose an alternative when moderation must span several media types or include policy management and review workflows in the same product.
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Detoxify pricing
Detoxify fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Text moderation | Yes |
| Image moderation | No |
| Audio moderation | No |
| Video moderation | No |
| Custom policies | No |
| Human review workflow | No |
| Deployment options | Self_hosted |
| Deployment | Self-hosted |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Pricing | Free plan |
| Website | github.com |
| Facts checked | 21 Sep 2026 |
Alternatives to Detoxify
- Alibaba Cloud Content ModerationA broad cloud moderation API with transparent daily usage rates and no free plan.9.2
- Tencent Cloud Content SafetyA broad cloud moderation API for teams handling high-volume, multi-format content.9.0
- Huawei Cloud Content ModerationA cloud moderation service with broad media coverage and usage-based billing.8.9
See all Detoxify alternatives →
Also Ranked In
Detoxify is ranked in 2 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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