amige. vs
Turnitin.

by Tuan Hoang · detection lead · last reviewed 2026-06-08 · pricing updates often, check vendor for current numbers
different tool, different building.
 amige.Turnitin
founded20261998 (AI detection added 2023)
modalitiesimage · video · texttext only
who can use itanyone, free tier, no signupinstitutions only, via the school’s portal
model attributionyes, ‘looks like Midjourney v6’, etc.no
image & videoyesno
access / pricingfree + $9 / month (Pass)institutional license (~$2–3 / student / year, negotiated)
self-reported accuracywe don’t headline a single numberclaims <1% false-positive rate
academic-integrity workflowno, built for one-off checksyes, the institutional standard (LMS-integrated)

looking for a Turnitin alternative?

Turnitin is the institutional standard for AI-text detection in education. It launched AI detection in 2023 on top of a plagiarism business running since 1998, and it lives inside the academic-integrity workflow: integrated into the LMS, fed by student submissions, read by teachers. Individuals can’t buy it; access runs through the institution.

amige. is built for a different person and a different question. when you see an image online and want to know whether it’s real, or you suspect a clip is a deepfake, Turnitin has nothing to run. amige. checks image, video and text, and names the model most likely behind a flagged file.

where Turnitin is stronger

the institutional workflow. Turnitin sits inside Canvas, Moodle and the submission systems schools already run, with AI detection and similarity reporting in the same place a teacher grades. nothing on amige. competes with that process.

history on student writing. decades of academic submissions give Turnitin deep grounding on long-form student text. amige. is newer and built for breadth across modalities.

the standard schools already trust. for academic-integrity cases, the tool of record matters, and Turnitin is the one most institutions have adopted.

Turnitin is your school’s system for text. amige. is the consumer tool for image, video and text.

where amige. is stronger

image and video, and open access. Turnitin is text only, behind an institutional license. amige. checks image and video too, and anyone can run it with a free tier. for a viral image or a suspected deepfake, that’s the whole difference.

model attribution. a flagged image on amige. comes back with a best guess at the generator, like “looks like Midjourney v6”. Turnitin reports an AI-likelihood on text and stops there.

a panel, with the disagreement shown. amige. runs several independent detectors per scan and surfaces a wide ‘uncertain’ band. Turnitin returns a single institutional score.

the accuracy story, and why it matters for students

Turnitin states a false-positive rate below 1%. independent work reports higher and more variable numbers: around a 4.2% false-positive rate in one 2024 study, accuracy that drops on edited or paraphrased writing, and false positives that fall harder on non-native-English authors, a pattern the Stanford research documented across detectors. when a verdict can affect a grade, that matters. read any single percentage as a starting point, and treat a flag as a prompt for a conversation, not proof. amige. takes the same stance by refusing to headline one number and showing the per-detector spread instead.

students can't check their own work

because Turnitin lives inside the institution, a student can't independently pre-check an essay; the score goes to the instructor rather than the writer. amige. is open to anyone with a free tier, a different relationship to the person whose work is being judged.

who each is for

pick Turnitin if you’re a teacher or institution running academic-integrity checks on student text inside your existing LMS. it’s the system built for that, and amige. doesn’t replace it.

pick amige. if you’ve got an image, a clip or a paragraph and want to know whether it’s AI, with a guess at which model made it and a panel of detectors behind the call. start on the AI image detector or the AI video detector.

questions

Does Turnitin detect AI images or video?

No. Turnitin checks text only, inside academic submissions. It has no image or video detection. amige. covers image, video and text in one panel and names the most likely model behind a flagged file, so for a suspected AI image or a deepfake clip, Turnitin isn’t an option.

Can I use Turnitin without a school or institution?

Not directly. Turnitin is sold to institutions on annual licenses, and the student experience runs entirely through the school’s submission portal. Individuals can’t buy access. amige. is open to anyone with a free daily tier and a $9 Pass, no institution required.

How accurate is Turnitin’s AI detection?

Turnitin states a false-positive rate below 1% and high detection in its own reporting. Independent work puts the real-world picture lower and more variable: a 2024 study reported around 91% detection with a roughly 4.2% false-positive rate, accuracy drops on edited or paraphrased text, and false positives skew against non-native-English writing. Read any single percentage as a starting point, not a verdict, especially where a student’s grade is involved.

amige. vs Turnitin for academic integrity?

Turnitin is the institutional standard, and for grading workflows it’s the system your school already runs, integrated into the LMS with submission history. amige. isn’t built for that and doesn’t try to be. amige. is the consumer tool for checking whether an image, video or piece of text is AI-generated, with model attribution and a panel of detectors. Different tool, different job.

sources.

  1. 01
    Turnitin — AI writing detection model (official guide)
    how the detector works and Turnitin’s stated false-positive rate.
  2. 02
    Turnitin AI detection accuracy — independent review (2026)
    third-party accuracy + false-positive figures vs Turnitin’s own claims.
  3. 03
    Liang et al., GPT detectors are biased against non-native English writers — Cell Patterns 2023
    the Stanford study on higher false positives for ESL writing across detectors.
run a scan, see for yourself →is this AI? →