CoSupport AI
What is Pangram?
Pangram offers a robust AI content detection solution, developed by a team with experience from Stanford, Tesla, and Google. This tool is engineered to identify text generated by various large language models (LLMs), including ChatGPT, Claude, and Gemini, ensuring high reliability and an exceptionally low rate of false positives. Its accuracy has been validated by third-party researchers, positioning it as a dependable resource for verifying the authenticity of written content.
The platform utilizes a sophisticated, multi-step approach to maximize detection accuracy, actively learning and adapting to differentiate between AI and human writing styles. Pangram supports multilingual text analysis and is designed to resist attempts at evasion through humanizer tools. It provides detailed analysis, indicating the likelihood of AI usage within specific sections of a text and even identifying the potential AI model used for generation, facilitating informed decisions about content originality.
Features
- High Accuracy Detection: Reliably detects AI content from models like ChatGPT, Claude, Gemini with near-zero false positives.
- AI Model Identification: Detects which specific LLM (e.g., ChatGPT, Llama, Gemini, Claude) generated the text.
- Sectional Analysis: Provides detailed analysis showing which parts of a text are likely AI-generated.
- Humanizer Resistance: Capable of detecting over 90% of high-quality humanized AI content.
- Multilingual Support: Supports AI detection in 20 languages, including Arabic, Japanese, Korean, and Hindi.
- Third-Party Verified Accuracy: Recognized by researchers as highly reliable and accurate, outperforming human experts.
- Chrome Extension: Allows users to check for AI content directly within their browser workflow.
- API Access: Provides an API for developers to integrate AI detection into their applications (Note: JSON 'has_api' field follows specific instruction).
- Educational Integrations: Offers integrations for platforms like Canvas and Google Classroom.
Use Cases
- Verifying academic integrity in student submissions for teachers and higher education institutions.
- Ensuring human authorship for publishers concerned about copyright compliance.
- Moderating user-generated content for trust and safety teams to combat AI spam.
- Identifying AI-generated content in research papers or business documents.
- Detecting AI presence in online reviews or blog posts to maintain authenticity.
FAQs
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How does Pangram handle text modified by 'humanizer' tools?
Pangram incorporates technology designed to resist humanizer tools and can detect over 90% of high-quality humanized AI content. -
Can Pangram identify which specific AI model (like GPT-4 or Claude) wrote a text?
Yes, Pangram includes a feature to detect which specific Large Language Model (LLM), such as ChatGPT, Llama, Gemini, or Claude, was likely used to generate the text. -
Is Pangram suitable for non-English text?
Yes, Pangram supports AI detection across 20 different languages, including major languages like Arabic, Japanese, Korean, and Hindi. -
Does Pangram offer integrations with educational platforms?
Yes, Pangram provides integrations for educational workflows, including Canvas and Google Classroom, allowing for automatic AI checks within assignments. -
What makes Pangram's detection approach unique?
Pangram uses a novel multi-step detection system developed by AI experts. This system actively learns to discern AI from human writing and identifies its own shortcomings to improve continuously, resulting in market-leading low false positive rates.
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Pangram Uptime Monitor
Average Uptime
99.93%
Average Response Time
172.77 ms
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