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Pangram checker & guide

Pangram AI detector: why it's hard to fool and what actually works.

Pangram is the detector researchers use when they need few false positives. Cosmetic humanizing doesn't work well on it. Real rewriting does.

Updated 2026-10-31 · Independent guide, not affiliated with Pangram

Free AI detection checker — Pangram pre-checkRuns in your browser · text never uploaded · no signup
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Independent heuristic estimate of the signals detectors use (predictability, burstiness, stock AI phrasing, repetitive structure). It is not GPTZero, ZeroGPT or Turnitin, and real scores can differ.

Step by step

How to bypass Pangram in 4 steps

1

Pre-check

Paste your draft into the checker above. Note your AI-likeness score and burstiness.

2

Fix red sentences

Hover each red sentence to see the signal it triggers, then rewrite it in your own structure.

3

Add what only you know

A number, a source, an example, an opinion. Pangram can't see specificity in a generic draft.

4

Re-check, then submit

Run the checker again. When most sentences are green, it reads as yours.

What is Pangram?

What Pangram is and who uses it

Pangram Labs builds an AI text classifier that the company says has a very low false-positive rate. It has been used in academic studies that measure AI-generated text in places like peer reviews and online content, and it's available as a web tool and API.

Pangram is trained to recognise text from many models and from common humanizer tools, which makes simple synonym-swapping ineffective.

How Pangram scores your text

  • Large-scale classifier: A model trained on many human and AI examples, including humanizer outputs.
  • Low false-positive focus: Tuned to avoid flagging human text, which means its AI flags carry more weight.
  • Segment analysis: Can show which parts of a document look AI-generated.
  • API & research use: Used by platforms and researchers to measure AI content at scale.

Where Pangram gets it wrong

  • No detector is perfect; heavily edited mixed text is still hard to label.
  • Very short texts give less reliable results.
  • Its strictness on humanizers means one-click tools often fail.
  • Few public independent audits exist yet for every text type.

What actually works against Pangram

  1. Skip one-click humanizers here. Pangram is trained on their output.
  2. Rewrite from your own outline: new structure, new examples, your conclusions.
  3. Use AI for research and feedback, then write the final text yourself.
  4. Add first-hand detail, data and quotes you gathered.
  5. Use the checker above to find paragraphs that still read generated.

Want a second opinion on a rewrite? The MultipleChat humanizer (ranked #1 in our humanizer test) lets you compare rewrites from several AI models side by side, then you pick and edit the version that sounds like you.

Other detectors

Check against other AI detectors

Teachers and clients often run more than one detector. Fixing the underlying patterns helps with all of them.

FAQ

Pangram FAQ

Is Pangram more accurate than GPTZero?

Pangram reports a very low false-positive rate, and some researchers prefer it for that reason. Accuracy depends on the text type, so check your own case.

Can humanizers beat Pangram?

Simple humanizers generally don't, because Pangram trains on their output. Substantial human rewriting is what changes the result.

Who uses Pangram?

Researchers, publishers and platforms that need to measure AI-generated content at scale.

Is Pangram free?

It offers limited free checks and paid plans and an API. Check its site for current limits.

Use it the right way

Better writing beats gaming a score.

AI detectors are probabilistic and get things wrong, which is why it makes sense to check your text first. But the goal is clear, specific writing that is genuinely yours, not hiding AI use where it's banned.