Pangram
Pangram is an AI content detector that identifies text and images generated by ChatGPT, Gemini, Claude and other models, targeting colleges and enterprises, and emphasizes third-party verified accuracy and content transparency.
Updated: 2026-10-26
What is Pangram?
Pangram is an AI content detector designed to identify text generated by models such as ChatGPT, Gemini, and Claude, and it also provides image detection capabilities. Targeted at universities, enterprises, and publishing institutions, it emphasizes accuracy and content transparency verified by third-party research. According to its official website, its accuracy has been validated by researchers from the University of Chicago, the University of Maryland, and other institutions. It holds that AI writing leaves traces in structure, style, and semantics, which can be reliably identified by sufficiently mature detection software.
Who is it for?
- Colleges, primary and secondary schools: Teachers and academic administrators who need to verify whether students' assignments are written by AI and uphold academic integrity.
- Enterprises and institutions: Organizations that need to review external content, prevent false or undisclosed AI-generated text, and ensure the authenticity of information.
- Media and editors: Practitioners who verify the source and authenticity of manuscripts before publication to avoid mistakenly publishing AI-generated content.
- Recruitment and Review: Reviewers who need to verify the authenticity of materials and identify resumes or statements overly reliant on generated content.
- Content platforms: Operators who wish to mark AI-generated content and ensure information transparency, to establish a content traceability mechanism.
Key features
5Text Detection
Analyze the structural, stylistic, and semantic patterns in the text to determine if it was generated by AI, and mark specific segments instead of just providing an overall score.
Coverage of cutting-edge models: Specifically trained to recognize the outputs of the latest models such as OpenAI, Anthropic, Google, Meta, DeepSeek, xAI, ensuring timeliness.
Image Detection
Newly added image detection capability to identify content in images generated by AI, expanding the detection boundary to the visual domain.
AI-Assisted Analysis
Distinguishes between fully AI-generated content and human-written content with AI assistance, and provides more detailed judgments.
Plagiarism detection
Provides plagiarism checks to assist in judging the originality and sources of content, suitable for academic and publishing scenarios.
How to use Pangram
- 1Take the test results as reference signals rather than the sole criterion, and combine them with manual judgment to avoid harming genuine writers.
- 2Use paragraph-level analysis to locate the specific AI-generated parts of suspicious fragments, facilitating targeted review.
- 3In educational scenarios, communicate boundaries with students and use detection as part of integrity education rather than mere punishment.
- 4When handling sensitive materials, pay attention to the platform's data and privacy policies, and carefully upload confidential or personal information text.
- 5Check if it continuously updates its model library to adapt to newly released AI versions and maintain detection effectiveness.
Traffic & popularity
Data month Sep 2026
Pangram receives about 1.5M visits per month and ranks #36,565 worldwide.
Monthly visits
12 monthsTraffic sources
- Direct45.8%
- Search44.3%
- Referrals3.7%
- Social2.9%
- Display ads1.6%
- Other1.7%
Top countries
- United States58.2%
- France5.7%
- United Kingdom3.3%
- Canada3.0%
- Germany3.0%
Estimated from third-party traffic data.
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