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Pangram AI Detector Review: My Experience With Six Texts

I tested Pangram on German and English factual texts. Here are the results, its mistake in a mixed text, and my experience with uploads and saved reports.

FHFinn Hillebrandt
AI Tools
Pangram AI Detector Review: My Experience With Six Texts
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Pangram made the strongest impression in my AI detector comparison. It even recognized both texts in which I had combined human and AI-written passages. GPTZero and QuillBot judged those mixed texts mostly or entirely human.

It still made a mistake. In the English mixed text, Pangram missed an AI-written sentence. Here are the results for my six factual texts, along with my experience pasting text, uploading documents, and reopening reports.

TL;DRKey Takeaways
  • Pangram correctly classified all six German and English texts as human, AI, or mixed.
  • In the English mixed text, it incorrectly marked the first AI-written sentence, containing 19 words, as human.
  • Text input, DOCX uploads, and PDF uploads worked. Start with the free allowance of 2,000 words per day.

1. Pangram

Pangram text input with the button to start a check

You paste your text and start a check. Pangram then reports whether it considers the document human, AI-generated, or mixed. It also highlights individual passages.

I find those highlights more useful than a large percentage on its own. I can read the passage Pangram flagged. That helped with the mixed texts because I knew where the human section ended and the AI section began.

I would start with Pangram if you want to try an AI detector. It did better on my texts than GPTZero, QuillBot, and ZeroGPT. I would still read the highlighted sentences myself.

Try Pangram for free

2. My Results With German and English Texts

I submitted one human text, one AI-generated text, and one mixed text in each language. The human texts came from 2021 Wikipedia revisions about photosynthesis and the water cycle. For the mixed texts, I added AI-written passages after human sections.

Pangram recognized both human texts as human and both AI texts as AI-generated. It also correctly classified the two mixtures.

My six factual-text checks with Pangram 4.0 on September 19, 2026.

My textGerman, Human
Words before scanning406
Pangram resultHuman
My textGerman, AI
Words before scanning506
Pangram resultAI
My textGerman, Mixed
Words before scanning451
Pangram resultMixed
My textEnglish, Human
Words before scanning578
Pangram resultHuman
My textEnglish, AI
Words before scanning496
Pangram resultAI
My textEnglish, Mixed
Words before scanning472
Pangram resultMixed

I gave the same texts to other detectors. GPTZero and QuillBot also got the four fully human or AI-written texts right. ZeroGPT, Detecting AI, and my own Gradually detector made mistakes.

Pangram
4 of 4
GPTZero
4 of 4
QuillBot
4 of 4
ZeroGPT
3 of 4
Detecting AI
1 of 4
Gradually
2 of 4
My tests, September 19-25, 2026
gradually.ai

The mixed texts separated them. GPTZero and QuillBot considered both mostly or entirely human. Pangram detected AI involvement in both. You can see each result in my AI text detector comparison.

3. Where Pangram Got the Mixed Text Wrong

Pangram showed 24% AI for the German mixed text and 22% for the English one. The AI passages were at the end of each text, which is where Pangram highlighted them.

I looked more closely at the English report. Its first AI-written sentence still appeared in the human section. That sentence contained 19 words. Pangram’s AI highlight started only after it.

That matters. Pangram recognized that both sources were present, but it missed the exact boundary. If you need to know which sentences someone wrote themselves, the colored highlights cannot settle that question.

I would not read the percentages as word counts, either. Pangram’s model card says it weights the classified sections by character count. When reviewing a result, I look at the text and its highlights first.

4. My Experience With Uploads and Report History

All six reports appeared in the history after scanning. I could reopen the final English mixed text later. The result and full text were still there, without running another scan.

I also tried uploading a short factual text with 189 words as a Word document and a text-based PDF. Both files imported and scanned successfully. German characters, numbers, and the complete word sequence survived the upload.

That is useful when you already have a text in a document. For scanned pages, I would check the imported text for missing content before trusting the result. I did not try scanned documents in these checks.

5. How Much Does Pangram Cost?

I would start with the free plan. Its daily allowance of 2,000 words is enough to try several examples of your own. You do not need to add a payment method.

The paid plans make more sense if you regularly check longer texts. The prices below use monthly billing.

Source: official Pangram pricing page, checked September 28, 2026.

PlanFree
Price$0
Text allowance2,000 words per day
Image checks3 per day
PlanIndividual
Price$20 per month
Text allowance300,000 words per month
Image checks100 per month
PlanProfessional
Price$65 per month
Text allowance1,500,000 words per month
Image checks500 per month

Image checks are a separate part of the service. My review covers the text detector. You can find the full plan details on Pangram’s pricing page.

6. My Verdict

After this comparison, Pangram would be my first choice for checking possible AI involvement in a text. The overall verdict and highlighted passages were especially helpful with mixed writing.

Six texts are too few to establish a general accuracy rate. The missed AI sentence also shows why I would check any Pangram result before acting on it. Accusing a writer requires more than a detector report.

Start with a text you wrote yourself. Then add an AI-written text and a mixture of both. You will quickly see how Pangram handles the type of writing you actually use.

Try Pangram with your own texts

Frequently Asked Questions

Pangram correctly classified my six German and English factual texts as human, AI, or mixed. In the English mixed text, however, it marked the first AI-written sentence as human. I would check the highlighted passages myself even when the overall verdict looks right.

It classified all three of my German factual texts correctly. Pangram identified the human photosynthesis text, the AI text, and the mixture of both. Those are results for these particular texts, not a general accuracy rate for German.

Yes. The free plan includes up to 2,000 words per day and does not require a payment method. Individual costs $20 per month with monthly billing and includes 300,000 words per month.

I imported and analyzed the same short factual text as a DOCX file and a text-based PDF. Both reports preserved the full word sequence. I did not test scanned PDFs.

Yes. The provider links are affiliate links. If you buy a paid plan through them, I may earn a commission. I used an existing Pangram license for these tests.
FH

Finn Hillebrandt

AI Expert & Blogger

Finn Hillebrandt is the founder of Gradually AI, an SEO and AI expert. He helps online entrepreneurs simplify and automate their processes and marketing with AI. Finn shares his knowledge here on the blog in 50+ articles as well as through the AI Business Club.

Learn more about Finn and the team, follow Finn on LinkedIn, join his Facebook group for ChatGPT, OpenAI & AI Tools or do like 17,500+ others and subscribe to his AI Newsletter with tips, news and offers about AI tools and online business. Also visit his other blog, Blogmojo, which is about WordPress, blogging and SEO.