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Description
OmniDetect is a complimentary and highly precise AI content detection solution designed specifically for educators, publishers, and content creators. Utilizing sophisticated multi-model analysis, OmniDetect can accurately detect text generated by AI systems such as ChatGPT, GPT-4, Claude, Gemini, and various other large language models with an impressive accuracy rate of 99%. It offers features like batch detection, comprehensive confidence scoring, and the ability to compare results side-by-side with other detection tools. Best of all, users can access these functionalities without the need for any registration. This makes it an accessible and reliable option for anyone needing to distinguish between human-written and AI-generated content.
Description
Here is a web demonstration of the GPT-2 output detection model, which utilizes the RoBERTa implementation from 🤗/Transformers. Simply input your text into the provided box, and the predicted probabilities will appear underneath. It's important to note that the results become more dependable once the input reaches approximately 50 tokens. As you experiment with different inputs, you can gauge the model's performance and reliability over various text lengths.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
ChatGPT
GPT-3
GPT-4
OpenAI
Pricing Details
Free
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
OmniDetect
Founded
2025
Country
United Kingdom
Website
omnidetect.ai
Vendor Details
Company Name
Hugging Face
Founded
2016
Country
United States
Website
huggingface.co