Pangram
Pangram is a third‑party‑verified AI detection platform for text, with assistance detection, segment attribution, and built‑in plagiarism checks. It supports 20+ languages, LMS and browser integrations, and an API, delivering industry‑low false positives for education and enterprise governance.
Overview
Paste text or upload files, then run a scan. Pangram assigns human, AI, or AI‑assisted probabilities and highlights affected segments. Plagiarism matches appear alongside detection results, with per‑document summaries, model benchmarks, and downloadable reports. History retains past scans for audit trails across classes, cases, or workflows.
How Pangram Detects AI Reliably
Teams that must prove authorship or enforce AI policies benefit most: K‑12 educators, universities and integrity offices, publishers and newsrooms, UGC platforms, enterprise compliance and legal reviewers, HR and recruiting teams, and research organizations. Typical outcomes include fewer false accusations, faster triage for suspected AI use, and cleaner audit trails for policy enforcement.
- Classifies documents as human, AI, or AI‑assisted with segment‑level attribution.
- Highlights assisted edits distinct from fully generated passages for transparent reporting.
- Combines AI detection with a plagiarism checker in a single workflow.
- Supports batch file uploads, LMS integrations, and a high‑throughput REST API.
- Benchmarked on frontier models and multilingual corpora to minimize false positives.
Why it stands out
What users say
Sign up to access the web app and free checks. Paste text or upload PDFs, DOCX, or RTF for immediate results and downloadable reports. Install the Chrome/Docs extension for in‑context screening. For classrooms, enable LMS integrations such as Canvas or Google Classroom. For platforms and enterprises, use the REST API and batch uploads to automate moderation and compliance reviews. SOC 2‑attested controls and encrypted storage support institutional privacy requirements.
The first detector we can deploy at scale without fearing false positives.
Getting started
Unlike perplexity‑based checkers, Pangram relies on supervised signals and active learning to remain robust across simple prose and adversarial humanizers. Its segment‑level evidence, assistance labeling, and combined plagiarism results make reviews faster and fairer. With LMS and Docs integrations for teachers, an API for platforms, multilingual coverage, and independent accuracy audits, it’s a pragmatic choice when the cost of false positives is high.
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Pangram
Pangram is a Brooklyn‑based team founded in 2023 by experienced AI researchers from Tesla and Google. The company focuses on content transparency and safety research, publishes evaluations with academic partners, and ships practical detection tooling—LMS integrations, extensions, and APIs—built for low false‑positive rates and real‑world reliability.
Pangram is an AI detection platform for text used by universities, schools, publishers, and enterprises. Its classifier analyzes linguistic signals across syntax, style, and semantics to label content as human, AI, or AI‑assisted, and to attribute segments. The model is trained on diverse human and frontier‑model outputs with hard‑negative mining and active learning, then routinely re‑benchmarked against new releases. Results are paired with a plagiarism checker and a clear, exportable report. Independent researchers, including the University of Chicago and the University of Maryland, have verified high accuracy with an exceptionally low false‑positive rate. The service supports 20+ languages, integrates with major LMSs and Google Docs via extensions, and exposes an API for high‑volume workflows. An image‑detection research preview is available.
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