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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.

Description

Pangram is a highly accurate AI content detection and transparency platform built to restore trust in written content. It identifies AI-generated and AI-assisted writing from popular models including ChatGPT, Claude, Gemini, and LLaMA variants. The platform delivers reliable results with industry-leading accuracy while maintaining an extremely low false positive rate. Users receive an overall AI likelihood score along with section-by-section analysis for deeper insight into authorship patterns. Pangram also detects which specific AI model was used, helping clarify content origins. Its AI plagiarism checker scans billions of webpages, books, and articles to flag duplicated or unoriginal content. Built-in integrations allow educators and organizations to check text directly within existing workflows. Pangram’s detection system is resistant to humanizer tools designed to mask AI writing. The platform is supported by transparent, published research from experienced AI researchers. Flexible plans make it accessible for individuals, institutions, and enterprises alike.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

ChatGPT
Canvas
Claude
GPT-3
GPT-4
Gemini
Google Chrome
Google Classroom
Grok
Meta AI
OpenAI
Perplexity

Integrations

ChatGPT
Canvas
Claude
GPT-3
GPT-4
Gemini
Google Chrome
Google Classroom
Grok
Meta AI
OpenAI
Perplexity

Pricing Details

Free
Free Trial
Free Version

Pricing Details

$20/month
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

Hugging Face

Founded

2016

Country

United States

Website

huggingface.co

Vendor Details

Company Name

Pangram Labs

Country

United States

Website

www.pangram.com

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