Pangram Labs is an __AI-generated content detector__ designed for educators, publishers and organizations. Unlike binary tools, it analyzes text __segment by segment__ and classifies each portion according to 4 levels: entirely human, slightly AI-assisted, moderately AI-assisted or entirely AI-generated. Founded by researchers from Tesla and Google, Pangram achieves __95%+ accuracy__ with a false positive rate below 2%. Version 3.0 supports __20+ languages__ and integrates natively into Canvas, Brightspace, Moodle, Google Classroom and Google Docs.
What is Pangram Labs?
Pangram Labs is an AI-generated content detection platform that analyzes texts in a granular manner. Unlike tools that labeled an entire document as AI or human, Pangram breaks down the text into segments and classifies each portion according to 4 levels of AI generation. It detects content produced by the major models on the market — GPT-4, Claude, Gemini, Llama, DeepSeek — and supports more than 20 languages. The platform integrates into learning management systems (LMS) to automate verification of student submissions.
Key Features
The central feature of Pangram is its segment-by-segment analysis. Rather than a global score, the platform highlights each portion of the text according to its likely level of AI generation. The 4-level classification — entirely human, slightly assisted, moderately assisted, entirely AI-generated — introduced in December 2025 version 3.0, enables nuanced evaluation suited to academic contexts. Multi-model detection covers GPT-4, GPT-4o, Claude 3.5 Sonnet, Gemini, Llama 3, DeepSeek and other major models. Support for 20+ languages includes French, Spanish, German, Arabic, Chinese, Japanese and many others. LMS integrations (Canvas, Brightspace, Moodle, Google Classroom, Google Docs) allow automatic and transparent verification of submissions directly in teachers’ work environment. Traditional plagiarism detection (copy-paste, reuse of past submissions) is also integrated.
Use Cases
Pangram is primarily used in education to verify the authenticity of work submitted by students. Higher education institutions integrate it into their LMS for large-scale automatic verification. Publishers and media use it to validate the human origin of articles submitted by contributors. Companies use it to control compliance of content produced by their teams, particularly in sectors where human authenticity is legally required.
Advantages
Segment-by-segment detection offers much better accuracy than global approaches, and reduces the risk of unfair accusations. The 4-level classification allows teachers to distinguish slight AI assistance from total generation, adapting the sanction to context. The false positive rate below 2% protects legitimate human authors. LMS integrations simplify large-scale institutional deployment without additional technical burden.
Pricing
Pangram Labs offers individual pricing starting at $20/month, including unlimited verifications and integrated plagiarism detection. Institutional plans are available for universities and high schools, with pricing by number of users or submissions. LMS integrations (Canvas, Moodle, etc.) are included in institutional plans. A free trial is available to discover basic features before subscribing.
Conclusion
Pangram Labs represents the state of the art in AI content detection in 2026. Its segment-by-segment approach, its 4-level classification and its performance (95%+ accuracy, < 2% false positives) make it the reference tool for academic institutions and publishers. The individual pricing may seem high, but the precision level offered justifies the investment in any context where content authenticity is a serious issue.