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Best AI Detectors in 2026: 10 Tools Compared on 4 Text Samples

We compared 10 AI detectors on four text samples: human prose, AI-generated story, mixed human+AI, and an AI rewrite. Pangram identified mixed text best; Copyleaks was clean on pure text; ZeroGPT and Grammarly both flagged Lewis Carroll as AI.

8 min read

Best AI detectors 2026 cover, magnifying glass on dark stone

Best AI Detectors in 2026: 10 Tools Compared on 4 Text Samples

Pangram is our first tool to try based on this four-sample comparison: its displayed categories matched all four inputs, and its mixed-text report identified the later AI section. Copyleaks is another candidate for an initial check of fully human or AI-generated text, although it missed the AI portion of our mixed sample.

These are observations from four short English samples, not estimates of overall accuracy or reliability. GPTZero's displayed results remain unverified against the current inputs and are excluded from performance recommendations.

The Four Test Samples

SampleWhat we submitted
H01 · Human · 454 wordsThe opening six paragraphs of Lewis Carroll's Alice's Adventures in Wonderland.
A01 · AI · 375 wordsAn unedited AI-generated story about Mara finding a brass key in her grandfather's shed.
M01 · Mixed · 404 wordsH01's first three paragraphs + A01's last two. AI supplied 151 words, or 37.4%.
E01 · AI rewrite · 390 wordsA rewrite of A01 by the same AI assistant; not human-written or a commercial humanizer output.

We tested 10 product interfaces. Scribbr displayed a QuillBot v7.1.0 panel, so we do not count it as an independent confirmation. Scores below retain each product's own units.

Which AI Detector Should You Try?

Your priorityFirst trial and evidenceImportant limitation
Inspect mixed human and AI textPangram. M01 received a mixed label, a 37% AI / 63% human split, and a note locating AI content in the later section.One constructed mixture; long-run accuracy and repeatability were not measured.
Screen fully human or AI-generated textCopyleaks. H01 showed 0% AI; A01 and E01 showed 100% AI, with input word totals.M01 showed 0% AI despite two known AI paragraphs.
Check long documents or many filesNo recommendation established. All prepared samples were under 500 words.Full-length and bulk workflows were not tested.

Before paying, try text with a source you can verify, confirm that the complete input was processed, and inspect the explanation as well as the label.

Results at a Glance

These are displayed outputs, not accuracy rates. Each product's scale is preserved. "No result" means access was blocked; it is never a zero AI score.

ProductH01 humanA01 AIM01 mixedE01 rewrite
GPTZero — input matches unverifiedHuman 100% — unverifiedAI 100% — unverifiedMixed 100%; 13/19 sentences likely AI — unverifiedAI 100% — unverified
PangramHuman-written 100%AI-generated 100%Mixed; 37% AI / 63% humanAI-generated 100%
Copyleaks0% AI; 454 human words100% AI; 375 AI words0% AI; 404 human words100% AI; 390 AI words
Originality.aiLikely Original; 100% confidenceLikely AI; 100% confidenceLikely Original; 77% confidenceNo result: daily free limit exhausted
Undetectable AI1% AI/GPT; human-written95% AI/GPT; AI-generated37% AI/GPT; human-written73% AI/GPT; AI-generated
ZeroGPT99.6% AI GPT97.1% AI GPT88.1% AI GPT15.7% AI GPT; human-written
QuillBot0% likely AI; Human 100%0% likely AI; Human 100%0% likely AI; Human 100%0% likely AI; Human 100%
Scribbr / QuillBot panel0% likely AI; Human 100%0% likely AI; Human 100%0% likely AI; Human 100%0% likely AI; Human 100%
Grammarly100% AI-generated100% AI-generated100% AI-generatedNo result: daily limit reached
Sapling.aiFake 66.9% — full coverage unconfirmedFake 100% — truncated at 2,000 charsFake 99.1% — truncated at 2,000 charsFake 76.5% — truncated at 2,000 chars

Product Reviews

GPTZero: Displayed Reports Awaiting Verification

The GPTZero interface displayed human, AI, mixed, and AI labels in sample order. The M01 capture also showed 13 of 19 sentences described as likely AI-generated. However, all four screenshots display "Text changed — Scan to update," so they do not establish that each report had refreshed for the adjacent input. A completed fresh scan of each sample is needed before GPTZero can support a performance recommendation.

Pangram: Mixed-Text Results Explained

Pangram's displayed categories matched all four samples. On M01, it also stated that AI-generated content appeared in the latter part, and its 37% AI / 63% human split was close to the prepared 37.4% AI word share. This makes it the first candidate to try if your priority is inspecting a mixed-text report, based on this single example.

Copyleaks: Clear AI Signals with a Mixed-Text Miss

Copyleaks separated H01 from A01 and E01, with a clear 0% or 100% result in each case, and its word totals made the reported input length visible. M01 exposed the trade-off: all 404 words were treated as human despite the two known AI paragraphs. Copyleaks is a candidate for initial screening based on the pure-text results, but this run does not support relying on it to locate AI-assisted sections.

Originality.ai: Confidence Scores and Free-Scan Limits

Originality.ai's confidence labels aligned with the pure human and AI samples. M01 received 77% confidence in "Likely Original," while the daily limit prevented an E01 report. The tool remains a candidate for a second opinion on pure text, but its confidence percentages are not measured accuracy rates.

Undetectable AI: A Mixed Score Beneath a Human Label

Undetectable AI separated the pure human text from both AI versions. The AI/GPT score decreased from 95% on A01 to 73% on E01, while the headline remained AI-generated. M01 is the reason to read beyond the headline: the page said human-written while showing 37% AI/GPT. That is not the same output as an explicit mixed label.

ZeroGPT: A Human False Positive and a Rewritten-AI Miss

The human control was the clearest concern: ZeroGPT assigned Lewis Carroll's prose 99.6% AI GPT. A01 received a similarly high 97.1%, so a high score alone did not distinguish those two sources. E01 changed the result substantially: the rewritten story received 15.7% AI GPT and a human-written label. ZeroGPT showed both a human false positive and a rewritten-AI miss.

QuillBot: Four Human Labels Across Different Sources

QuillBot v7.1.0 returned the same 0% likely AI and 100% human-written result for all four inputs. The H01 result was appropriate, but A01 and E01 were both produced by AI, and M01 deliberately included AI paragraphs. This shows why a human-only check is insufficient when evaluating a detector.

Scribbr: Results from a QuillBot-Labeled Panel

All four Scribbr-page screenshots contain a detector panel labeled "QuillBot v7.1.0." Its outputs match the four QuillBot-page outputs. We retain this row because it records what a reader encountered on Scribbr, but it is not an independent engine result.

Grammarly: A Strong Human False Positive

Grammarly's first three reports all showed 100% AI-generated. A01 was indeed AI-written, but H01 was historical human prose, and M01 contained both sources. The repeated label makes the human control particularly valuable: this test shows why Grammarly's score should not settle authorship by itself.

Sapling.ai: Scores That Need a Coverage Check

Sapling uses the label "Fake." A01, M01, and E01 explicitly displayed a truncation warning at the free 2,000-character limit. H01 showed 66.9% with full coverage unconfirmed. Sapling's results illustrate why checked length deserves as much attention as the headline score.

What the Comparison Tells Us

Pangram identified AI content in the later part of mixed text

Pangram displayed the expected categories for all four samples, and its M01 report identified the later AI section as well as giving a 37% AI / 63% human split. This is the strongest basis in these captures for a first tool to try on mixed text.

Mixed text reveals more than a pure-AI test

M01 is especially informative because the source boundary is known. Copyleaks and QuillBot reported no AI, Undetectable AI retained a human headline with a 37% signal, and Pangram reported a mixture and identified the later AI section.

False positives and rewriting both matter

ZeroGPT and Grammarly gave strong AI labels to the known human passage. ZeroGPT then labeled the AI rewrite human-written. Together, these observations show why evaluating only one fresh AI output is inadequate: a detector also needs a human control, a mixed sample, and an edited or rewritten comparison.

How to Use a Detector Result Responsibly

Check the input range and refresh state first. Read the label alongside the percentage, inspect any available passage-level evidence, and compare the result with drafts, notes, citations, and revision history. A detector report does not identify the writer or establish their honesty.

Current Access and Pricing

ProductFree accessPaid plan
Pangram2,000 words/day; no payment method required.$20/month for 300,000 words/month.
CopyleaksUp to 25,000 characters per free web scan without logging in.$16.99/month for 100 unified credits, covering up to 25,000 words.

A listed allowance is not proof of full-document processing. Before choosing a paid plan, check supported input length, file type, language, report detail, and whether the amount is a per-scan limit or a daily or monthly quota.

Frequently Asked Questions

Which AI detector is best in 2026?

Pangram is the first candidate to try based on these four short English samples: its displayed categories matched all four, and it identified the later AI section in the mixed text. This does not establish a universal accuracy winner. Copyleaks is another candidate for pure-text screening, with a mixed-text miss. GPTZero needs fresh completed scans before it can support a performance recommendation.

What is the best free AI detector?

Pangram lists 2,000 free words per day. Copyleaks advertises up to 25,000 characters per free web scan without logging in. Compare them with your document length and verify that the whole input is processed.

Does Scribbr use the QuillBot API?

The tested Scribbr page displayed a QuillBot v7.1.0 panel. The screenshots do not reveal whether it uses an API, embedded component, or another integration. We report the panel attribution and do not count its outputs as a separate independent confirmation.

Can an AI detector prove who wrote a text?

No. These captures show disagreement even on text whose origin is known. Detector output should support review alongside drafts, source material, and a conversation with the writer; it should not determine authorship or academic misconduct by itself.

Can rewriting reliably make AI text pass as human?

This test does not support that claim. E01 remained AI-labeled in several reports but was called human in others. A lower detector score is not proof of better writing.

Final Verdict

Start with Pangram if you want to inspect mixed-text reporting, based on its category labels and identification of M01's later AI section. Consider Copyleaks for an initial pure-text check while keeping its mixed-text miss in mind. The strongest practical lesson is to verify the checked text, the report's refresh state, and the meaning of its score. Those details determine whether a result can support a useful review. Keep drafts and sources as the primary evidence of how a document was written.

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