Pangram Labs
Research backed AI text and image detector with very low false positives and LMS integrations.
Best for High stakes detection where false positives matter
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What it does
Pangram Labs is an AI detection platform designed to identify machine generated content and verify text authenticity. Users submit text, uploaded documents, or image files to receive detailed detection scores, segment breakdowns, and similarity findings. It is built for educators, university admissions teams, researchers, editors, and businesses seeking transparency in digital content.
Read more: 4 features and how people use themShow less
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AI image detection
Scans uploaded JPG, PNG, or WebP files to check whether visual media was generated by AI. It accepts files up to 30MB directly via drag and drop or file upload.
Use caseA user uploads an image file to check for AI before publishing it online.
From pangram.com -
Learning management system integrations
Connects detection workflows directly into platforms such as Canvas, Blackboard, Brightspace, and Google Classroom through standards like LTI 1.3. It runs in the background and presents scores straight inside educator grading interfaces.
Use caseA college grader inspects incoming student submissions inside Canvas SpeedGrader without opening a separate browser window.
From pangram.com/solutions/integrations -
Gmail inbox labeling
Classifies incoming emails as AI, Mixed, or Human using Google OAuth permissions without storing message text. It applies labels inside Gmail and can archive or route flagged messages to spam automatically.
Use caseA professional monitors inbound cold pitches and job inquiries to filter machine generated outreach directly into spam.
From pangram.com/solutions/gmail -
Multilingual detection
Analyzes written content across over 20 languages using structural and linguistic patterns rather than simple perplexity metrics. It ensures consistent detection across international text without unfairly penalizing non native phrasing.
Use caseAn admissions officer evaluates multilingual application statements from international candidates to confirm genuine authorship.
From pangram.com
Written from Pangram Labs's own website, checked . Each feature links to the page it comes from; images are Pangram Labs's own.
Every plan
| Plan | Monthly | Billed yearly | Per | What it includes |
|---|---|---|---|---|
| Free | Free | $0 | per account | 20 text checks/day, 3 image scans/day; no plagiarism |
| Individual | $20 | $15 | per user | up to 300,000 words/month, 100 image scans/month; 7 day trial |
| Team | $40 | $30 | per seat, min 2 | $20/seat; 7 day trial |
| Professional | $65 | $45 | per user | 5x Individual words and image scans; $200/month API credits |
From Pangram Labs's own pricing page, checked . Prices are in US dollars per month; "billed yearly" is the monthly price when you pay for a year up front. A few figures (often the yearly price) are derived rather than printed on the page.
Before you pay
- Trains on your data
- No
What Pangram Labs says
We never train our models on your student papers or proprietary research data.
Source page - Data retention
- Universities can configure retention policies where data is automatically deleted after analysis or retained for audit and academic integrity review workflows.
What Pangram Labs says
Data can be automatically deleted after analysis or retained for audit and academic integrity review workflows.
Source page - Export your data
- Yes
What Pangram Labs says
Access your complete history of scans, download reports, and manage your past detection records all in one place.
Source page - SOC 2
- Yes
What Pangram Labs says
FERPA compliant. SOC 2 Type 2 certified. Built by AI researchers from Google, Tesla, and Stanford.
Source page - Support
- Email
What Pangram Labs says
Got a request for an integration? We are more than happy to help. Send us an email and we can discuss.
Source page
Only what Pangram Labs's own pages state, with the quote behind each answer. Anything they don't publish is left out rather than guessed.
What the free plan includes
20 text checks/
Questions people ask about Pangram Labs
How much does Pangram Labs cost?
Paid plans start at $20 a month (Individual). 4 plans are listed above, from Pangram Labs's own pricing page.
Is Pangram Labs free?
Yes, there is a free plan: 20 text checks/day and 3 image scans/day after signup.
Does Pangram Labs train its AI on my data?
No, the company says your data is not used for training. Source
Does Pangram Labs have an API?
Yes.
Where is student data stored, and how long is it retained?
Universities can configure data retention policies based on institutional requirements. Data can be automatically deleted after analysis or retained for audit and academic integrity review workflows. Source
Can we access the API for research purposes?
Yes. Many universities use our high throughput API to analyze AI usage trends across large datasets, enabling research into academic integrity, AI adoption patterns, and pedagogical impact. Source
Does Pangram integrate with LMS platforms?
Pangram supports integrations and workflows compatible with common LMS environments including Canvas, Blackboard, Moodle, and Brightspace, making it easy to incorporate AI detection into existing assignment submission and review processes. Source
Does Pangram detect the latest AI models?
Yes. Pangram is trained specifically to detect the latest AI models from frontier labs like OpenAI, Anthropic, Google, Meta, DeepSeek, xAI, and more. Source
Works with
- Integrations
- Google Docs, Chrome, Canvas, Blackboard, Brightspace, Google Classroom, Moodle, Schoology, Ashby, Gmail
- AI models
- proprietary technology
- Languages
- 20+ languages
Where this came from
Plans, prices and limits were copied from Pangram Labs's own pages and the other sources listed, then checked .
- pangram.com/pricing
- pangram.com/
- pangram.com/testimonials-reviews
- pangram.com/tr/pricing
- pangram.com/ar/pricing
- pangram.com/use-cases/teachers
- pangram.com/solutions/google-docs
- pangram.com/use-cases/universities
- pangram.com/solutions/integrations
How we collect prices and rank tools · Is something wrong? Correct this listing
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