AI code detector · C++
Paste a C++ file below and get an AI-likelihood score with the snippets that drove it. Use it to decide what deserves a closer read — not to decide a case.
Screening signal only. Review flagged code before you act on it.
An AI code detector for C++ analyzes C++ source code for patterns associated with AI-generated output and returns an AI-likelihood score with highlighted snippets. The result is a screening signal: it helps teachers and interviewers decide which files deserve a closer human read, not a determination of who wrote the code.
A lot of C++ starts from shared material: course starter files, competitive-programming skeletons, IDE scaffolding. That code looks similar whether a person or a model produced it, so template-heavy files carry a higher false-positive risk. When a C++ file gets flagged, check whether the highlighted snippets are the shared template or the logic the author actually wrote. The first is expected. The second is worth a conversation.
C++ is one of the languages covered by both human-written and AI-generated samples in our most recent evaluation (October 8, 2026). Read the limits →
Files with fewer than 10 non-empty lines of code are not scored — very short snippets do not carry enough signal to be useful.
Yes, for single files. Paste one C++ file and run the check with no account. Batch uploads, saved scan history, and report export require an account — current plan details are on the pricing page.
They can. Starter files and templates look generic by design, and generic code is one of the patterns the detector reacts to. If a whole class shares the same starter code, expect similar-looking files and review flagged snippets by hand.
With caution. Competitive code is short, template-heavy, and written under shared conventions, which makes both false positives and false negatives more likely. Files under 10 non-empty lines are not scored at all.
No. The check looks for patterns associated with AI-generated C++ in general. It cannot attribute code to a specific model or product, and no detector can. Treat the result as a pointer for review, not an attribution.
Read the highlighted snippets first, then compare the file with earlier work from the same author. If concern remains, ask the author to explain or extend the code. A score is a reason to look closer, never a conclusion. See /accuracy for the full review workflow.
Also available: AI code detection for Python and Java. Back to the main tool →
Run a free single-file check now. If you grade or review C++ regularly, batch mode scans a whole set at once.