Detector de Conteúdo de IA
Os detectores de escrita por IA estimam a probabilidade de um texto ter sido gerado por um modelo de IA em vez de escrito por uma pessoa. Nenhum detector — incluindo este — é totalmente preciso, e os resultados devem ser encarados como um indício a investigar, não como prova definitiva.
Nossos consultores de pesquisa podem revisar seu manuscrito quanto à clareza, originalidade e tom acadêmico.
Como funciona
- 1Cole o texto que deseja verificar (pelo menos algumas frases).
- 2Clique em Analisar.
- 3Veja a probabilidade estimada de escrita por IA e por humano, junto com uma breve explicação.
Para quem é indicado
- ✓Revisar seus próprios rascunhos antes da entrega, especialmente após usar ferramentas de escrita assistida por IA.
- ✓Obter um segundo indício sobre uma passagem que parece incomumente uniforme ou genérica.
- ✓Verificar um texto colaborativo ou terceirizado antes de assiná-lo com seu nome.
What Is an AI Content Detector?
An AI content detector is a model trained to spot statistical fingerprints that tend to separate machine-generated text from human writing. It doesn't "know" who wrote something the way a person would recognize a friend's voice. Instead, it looks at patterns like perplexity (how predictable each word choice is given the words before it) and burstiness (how much sentence length and structure vary across a passage). Human writing tends to be uneven — some short sentences, some long and messy ones, occasional odd word choices. Machine-generated text is often more uniform and statistically "smooth."
What this means practically: a detector can tell you how closely a piece of text resembles patterns typical of AI output, but it cannot see who actually typed the words, verify authorship, or read intent. It's a pattern-matching estimate, not a lie detector.
When Should You Use an AI Content Detector?
This tool is most useful as a quick sanity check rather than a verdict. A few realistic scenarios: if you used an AI assistant to help draft or edit part of your own paper, running it through the detector before submission can flag passages that still read as heavily machine-influenced, giving you a chance to revise them in your own voice. If you're reviewing writing — your own or someone else's — and notice it reads unusually uniform or oddly generic, the detector can give you a second data point to weigh alongside your own judgment.
It's also useful when reviewing collaborative or outsourced work, such as text from a co-author, research assistant, or freelance editor, where you simply want a signal on whether a section deserves a closer read. Treat the output as a starting point for further review, not as the final word.
AI Detection Accuracy and Its Limits
No AI detector, including this one, is perfectly reliable, and it's worth understanding why. False positives happen: heavily edited, polished, or non-native-English writing can sometimes resemble AI-generated patterns simply because it's cleaner and more evenly structured than typical first-draft prose. False negatives happen too: text that started as AI output but was substantially rewritten, restructured, or blended with human editing can lose the statistical signals detectors rely on and pass as human-written.
Length matters as well. Short passages give the model far less pattern data to work with, so confidence tends to drop noticeably on excerpts of just a sentence or two compared to full paragraphs or pages. None of this makes the tool useless — it just means a result should always be read as a probability estimate with real uncertainty attached, not as a fact.
Responsible Use in Academic Writing
The most responsible way to use a detector result is as a prompt for your own closer reading, not as proof of anything. If a score comes back higher than expected on your own writing, use it as a cue to revise the flagged sections in your own words rather than treating the number as a problem to fix. If you're evaluating someone else's work, a detector score alone is not sufficient grounds to accuse them of misconduct — it's a signal that may warrant a conversation, not a conclusion.
Academic integrity policies on AI use vary widely between institutions, departments, and even instructors, and they keep changing as norms evolve. Before relying on any detector result in a formal setting, check what your institution actually permits and how it expects AI-assistance concerns to be handled, since that policy — not a detector score — is the real standard you're accountable to.
Perguntas frequentes
Nenhum detector de IA é 100% preciso, incluindo este — e não afirmamos o contrário. Os detectores podem tanto deixar passar textos gerados por IA quanto sinalizar incorretamente textos escritos por humanos, especialmente passagens curtas ou muito editadas.
Encare isso como um convite para revisar a passagem você mesmo — verificando a exatidão factual, sua própria voz autoral e as citações adequadas — e não como um veredito definitivo.
Passagens muito curtas não fornecem sinal suficiente para o detector produzir uma estimativa significativa, por isso os resultados em textos muito curtos tendem a ser pouco confiáveis.