The analysis identifies a repeated structure across several otherwise fluent passages. An editor should inspect the author’s sources and drafting context.
For editorial and publishing teams
AI Content Detector for Publishers and Editors
Screen manuscripts, contributor drafts and articles for AI-writing patterns, source overlap and sentence-level signals before a piece reaches publication.
Why the workflow matters
Editorial risk hides inside otherwise fluent copy.
A polished draft may still need source verification, authorship follow-up or disclosure. A useful detector should show the passages that warrant attention and leave the editorial decision with the people who know the publication.
Document estimateSentence-level signalsHuman context
A review path people can follow
Add a measured review step before publication.
See the flagged text, check the context, and use your judgment.
- 01Receive
Add a manuscript, article or contributor batch.
- 02Screen
Check AI writing and source overlap separately.
- 03Inspect
Open passages that need editorial attention.
- 04Discuss
Ask for sources, revisions or disclosure.
- 05Archive
Save the report with the editorial record.
The reviewer found that several passages share a predictable cadence and low variation. Those passages should be read alongside the surrounding document and available drafting context.
Reporting and handoff
Keep the report attached to the editorial decision.
Export the summary, sentence analysis and highlighted text as a PDF, or share the live result with another editor. The supporting material stays together when a review changes hands.
See the AI detector workflow →
Designed for the real setting
Designed for manuscripts, articles and contributor work.
Use one-document review for individual drafts, Batch Scan for larger queues, or the API when screening belongs inside an existing editorial system.
Review the research and methodology →Tools for this workflow
Choose the right tool for the review.
Research and guidance
Use detection with context, privacy and care.
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Questions from publishing teams.
Proofademic can review text from articles, manuscripts, reports and contributor submissions. The per-request limit depends on the selected plan.
Yes. Sentence-level results show which passages contribute to the overall AI-likelihood result.
Yes. Plagiarism checking identifies source overlap and citation risk as a separate review track from AI-writing detection.
Yes. A completed report can be exported as a PDF or shared through a viewable link for another reviewer.
Yes. Proofademic provides AI text and AI image detection APIs through its developer platform.
The next step
Put a clearer review between intake and publication.
Start with one draft, or talk with us about Batch Scan and API-led workflows for an editorial team.