Inspect
Surface evidence in documents, pasted text, and Python source that can be difficult to see or reason about directly.
Meet the builder
Hi, I’m DuckieDai
I’m a student and the creator of Hidden Word Scanner. It began with a simple problem: documents often contain more than the page shows. As I kept building, that same question—what is really happening here, and can the result be explained?—grew into tools for text, Python code, digital logic, scientific calculations, and reviewed sample files.
Today, Hidden Word Scanner is more than a document scanner. It is an independent inspection and learning toolkit designed to make technical evidence and working steps clearer, calmer, and easier to verify. The original document scanner remains a core part of the project, not its outer boundary.
Why this exists
Useful tools should show their work
Calculate
Work through logic, binary, units, formulas, and scientific expressions with defined rules and visible steps.
Verify
Separate observed evidence, tool output, and human conclusions instead of turning a result into an automatic verdict.
Learn
Use guides and the Sample Lab to explore worked examples, known expectations, limitations, and common benign explanations.
What the project has become
One project, several connected workspaces
The tools serve different jobs, but they share the same approach: use bounded inputs, apply disclosed rules, expose useful intermediate evidence, and leave interpretation with the person using the tool.
- Document and text inspection: examine supported files and text for concealed content, metadata, structural signals, and unusual characters.
- Code inspection: review Python source for visibility and formatting risks, syntax, and supported unresolved-name checks without executing the program.
- Logic and calculator tools: explore Boolean expressions, binary values, unit conversions, reviewed physics relationships, and allowlisted scientific expressions with explicit constraints.
- Sample Lab and guides: compare synthetic source evidence with reviewed scanner observations and learn how to interpret results responsibly.
Read the methodology for every workspace and its limitations.
Project principles
- Useful before impressive: every workspace should solve a real problem in understandable language.
- Evidence before accusation: a finding is a reason to review, never an automatic verdict.
- Show the work: calculations and inspections should expose the rules, evidence, or intermediate steps needed to review a result.
- Privacy by design: browser-based inputs stay local where stated; document uploads are temporary, reports expire, and no account is required.
- Honest limitations: a clean scan, successful check, or calculated answer is not a guarantee beyond the tool’s stated scope.
- 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. DuckieDai created and maintains Hidden Word Scanner independently while studying. 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 any school or university. The public project email is the contact point; it 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.