
Pangram Labs is an AI-text detector and plagiarism checker for essays, articles, user posts, and documents. It helps educators, publishers, legal, HR, and enterprise teams check for AI-generated writing, AI assistance, and copied text in one workflow.
Pangram says it uses a proprietary classifier trained on large human and AI writing datasets, with hard negative mining, active learning, and retraining as new models appear. It also says it does not rely on perplexity or burstiness alone, which can flag simple human writing.
The company cites third-party verification from the University of Chicago and the University of Maryland. Its homepage and FAQ state 99.9%+ accuracy and a current false positive rate of 1 in 10,000.
Paste text or upload files, run the scan, then review scores, highlighted segments, and history. Pangram can mark text as human, AI-generated, or AI-assisted, including drafts edited by Grammarly, QuillBot, or an LLM.
For schools and organizations, Pangram connects to Canvas, Brightspace, Moodle, Google Classroom, Google Docs, and Chrome. Developers can buy API credits, while institutions can use LMS integrations with usage trends, plagiarism checks, and data controls.
No public star rating was found in the captured sources. Pangram's homepage includes testimonials from educators, Wiki Education, LessWrong, and Qwoted that praise low false positives. One educator says a Pangram flag should start a conversation, not act as automatic proof of misconduct.
The free plan is enough to test daily checks, while paid plans add scan volume and plagiarism features for classrooms, publishers, and teams.
It analyzes writing patterns with its own classifier, trained on human and AI text, then reports AI, human, or AI-assisted segments.
It has strong source claims: 99.9%+ accuracy, third-party verification, and a published false positive rate of 1 in 10,000.
Pangram says its detector beat GPTZero in University of Chicago false positive tests, but the better choice depends on your workflow.
Yes. It is a real AI-text detection company with published pricing, LMS integrations, SOC 2 Type 2, and research-backed claims.
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