A practical checking workflow
How to check whether text was AI-generated without overclaiming
A responsible check asks whether the writing contains signals worth reviewing. It does not pretend that a score can observe authorship or identify a specific model.
Use a representative passage, run a browser-local check, inspect coverage and local signals, then compare the result with drafts, sources, and context. A detector can support review, but text alone cannot prove who wrote it or which model was used.
Start with representative text
Use a passage that preserves enough context to reflect the document’s normal writing. A single sentence, a list of formulas, code, or a heavily edited fragment can be less informative than a coherent section of prose. AI Detector supports Chinese, English, and mixed-language text, with a limit of 10,000 characters per check.
If the document contains multiple languages, remember that the tool keeps language signals separate instead of turning different model outputs into one artificial probability.
Run a check that keeps private text on your device
Paste text into the detector or import a TXT, Markdown, DOCX, or text-based PDF file. The current product analyzes the text in browser memory and does not send it as a detection request to a detection server. The site still needs to load its web application and analysis resources, and device or browser security remains your responsibility.
Yes, you can use a free browser-local AI detector as one review step. The local workflow reduces detection-server upload risk, but it does not make the result a verdict.
Read the signal together with coverage
Look at the primary-language signal, local text mapping, text metrics, and any coverage or reliability notice. A percentage over incomplete or unsupported text should not be treated as a whole-document conclusion. A low signal also does not prove that writing was entirely human or unaided.
For a plain-language explanation of the result, see the AI detector results guide and the limitations page.
Compare independent evidence
- Keep the exact passage, language, length, and coverage in your review notes.
- Read highlighted local signals in their surrounding paragraphs.
- Compare drafts, revision history, notes, citations, and source material.
- Ask the author to explain reasoning or reproduce key work when appropriate.
- Use a documented human review process for consequential decisions.
These steps are more informative than treating a detector score as a binary “human” or “AI” label.
What the check cannot tell you
No AI detector can reliably prove authorship, plagiarism, academic misconduct, or use of ChatGPT, Claude, Gemini, DeepSeek, or another named vendor from text alone. False positives and false negatives are possible, especially with short, translated, formula-heavy, code-heavy, or domain-specific writing.
For sensitive files, read the private local detection explanation before choosing a workflow. For high-stakes decisions, do not use an automated detector as the sole evidence.