The gap
Students and authors often discover similarity or AI-detection issues after the formal submission point, when the cost of fixing the draft is highest.
We built this service to make a private pre-check feel ordinary: upload a file, wait briefly, read the same kind of report a school or institution would use, then decide what to revise.
What mattered most
Accuracy was not enough. The workflow also needed no-repository handling, clear failure behavior, fast report delivery, and a path for teams that need API access.
That is why the product combines Similarity and AI reports, explicit deletion, redeem-code flows, and structured provider failure codes.
What we do not want
This is not meant to help people hide misconduct. The better use is earlier feedback: find careless citations, over-quoted passages, machine-like drafts, and risky copied text before a high-stakes submission.