
AI Detection & TrustPaidReviewed July 2026
Pangram
Pangram is an AI-text detector whose whole pitch is accuracy you can defend. It has been independently validated by researchers at University of Chicago Booth and University of Maryland, and it reports a very low false-positive rate of roughly 1 in 10,000. That matters, because the real cost of a detector is not the AI text it misses but the human writer it wrongly accuses, and that is exactly where general-purpose detectors get people in trouble. Pricing runs about $20/mo for individuals, around $65/mo for Pro (3,000 credits), API pay-as-you-go at about $0.05 per scan, and custom for institutions. When a false accusation carries real consequences, Pangram is the one to reach for.

At a glance
- Best for
- Low false-positive detection
- High-stakes accuracy
- Academic and compliance use
- Not the right pick for
- Anyone wanting a free detector
- Casual one-off checks that do not need defensible accuracy
- Pricing from
$20/mo
- Founded
2023
What it's good for
- 1
Academic-integrity reviews where a false accusation against a student is unacceptable
- 2
Hiring teams checking written application materials without wrongly flagging real candidates
- 3
Newsrooms and publishers verifying contributor copy is human-written
- 4
Compliance and provenance checks in regulated content workflows
- 5
High-stakes disputes where the detector's finding has to hold up to scrutiny
Pricing
Individual
For solo and light use
$20/mo
Pro
3,000 credits
$65/mo
API
Pay-as-you-go, about $0.05 per scan
Usage-based
Institutional
Volume and integration for organizations
Custom
How to use it
Paste or upload text into the web app for a single check, or send it through the API for batch and programmatic use at about $0.05 per scan. Read the result as a probability, not a verdict, and lean on Pangram's very low false-positive rate when a call has real consequences. For institutions, the custom tier covers volume and integration into existing review pipelines. As with any detector, pair it with human judgment: use it to flag work for a closer look, not to hand down an automatic decision.
Pros & cons
Pros
- Independently validated by University of Chicago Booth and University of Maryland
- Very low false-positive rate (about 1 in 10,000)
- Findings are defensible when a call has real consequences
- API pay-as-you-go at about $0.05 per scan for batch use
- Purpose-built for high-stakes accuracy rather than casual checks
Cons
- No free tier, so casual one-off use is harder to justify
- Focused on text, not the images or deepfakes some rivals cover
- Credit-based pricing takes some planning for heavy use
Frequently asked questions
How much does Pangram cost?
Individual plans run about $20/mo, Pro is around $65/mo for 3,000 credits, and the API is pay-as-you-go at roughly $0.05 per scan. Institutional pricing is custom for volume and integrations. There is no confirmed free tier, so plan on a paid plan from the start.
Pangram vs GPTZero: what is the difference?
Both detect AI-written text, but they aim at different priorities. GPTZero is the accessible, freemium entry point that also covers images and humanized content. Pangram's differentiator is defensible accuracy: independent validation from University of Chicago Booth and University of Maryland, and a very low false-positive rate of about 1 in 10,000. When a wrong accusation carries real consequences, Pangram is built for that; for broad, casual checks GPTZero is easier to start with.
Is Pangram free?
No. There is no confirmed free tier. Plans start at about $20/mo for individuals, with Pro around $65/mo and API access at roughly $0.05 per scan. If you need a free option for ad-hoc checks, a freemium detector like GPTZero is the place to look, though it trades away some of Pangram's accuracy.
What is Pangram best for?
High-stakes AI-text detection where a false accusation is the real risk: academic integrity, hiring, publishing, and compliance. Its independent academic validation and roughly 1-in-10,000 false-positive rate make its findings easier to defend than a general-purpose detector's.
How accurate is Pangram?
Its standout claim is a very low false-positive rate, about 1 in 10,000, and that claim has been independently validated by researchers at University of Chicago Booth and University of Maryland. No detector is perfect, so treat results as strong probabilities and keep a human in the loop, but the low false-positive rate is what sets it apart from general-purpose tools.
More
Alternatives to Pangram
Other tools we'd consider for the same job.
MaxtDesign · AI Studios
Want help putting Pangram to work?
We integrate, deploy, and design around tools like this for clients every week. Pick the angle that fits, or book a discovery call.
Other AI Detection & Trust tools
Copyleaks
Enterprise, multilingual AI-content and plagiarism detection with an API, built for education and compliance teams
GPTZero
AI text + deepfake detection. Covers writing, images, and humanised AI content for compliance, education, and trust workflows
Originality.AI
AI detection + plagiarism scanning for content marketing and SEO. Lower false positives on long-form than general-purpose detectors