Understand the file
See review signals that an ordinary document view may not expose.
Meet the builder
Hi, I’m Bradley Shoemaker
I’m a student and the creator of Hidden Word Scanner. I built this project because documents often contain more than the page shows: metadata, comments, revisions, concealed text, annotations, hidden spreadsheet structures, and invisible characters.
Most people should not need specialized forensic knowledge just to understand a file they were given. Hidden Word Scanner is my attempt to make that evidence clearer, calmer, and easier to discuss.
Why this exists
Students deserve transparency, not invisible surprises
Keep the context
Findings describe evidence. They do not decide a person’s intent.
Protect the conversation
Exportable reports help students and educators discuss specific evidence instead of relying on assumptions.
Learn in public
The methodology, limitations, and project guides explain how the scanner works and where it can be wrong.
Project principles
- Useful before impressive: the tool should solve a real problem in understandable language.
- Evidence before accusation: a finding is a reason to review, never an automatic verdict.
- Privacy by design: uploads are temporary, reports expire, and no account is required.
- Ad-free access: the scanner does not display advertisements or sell attention alongside document findings.
- Honest limitations: a clean scan cannot guarantee that a document is safe or contains nothing hidden.
- Responsible use: the project does not write assignments or help people bypass plagiarism detection.
Independent by design
“Student project” describes the creator, not a school affiliation. It means Bradley Shoemaker created and maintains Hidden Word Scanner independently while he is a student. The project is not coursework, a class assignment, an institutional research project, or an official school service.
Hidden Word Scanner is not sponsored, operated, reviewed, approved, or endorsed by Owens Community College or any other school or university. An academic email address is provided only as an additional way to contact Bradley and does not indicate institutional involvement.
The project is also not affiliated with or endorsed by any plagiarism-detection provider, document-software company, or AI company.