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PDF AI Detector identifies AI-generated text at the document, page, and sentence levels. CudekAI highlights suspicious passages and explains the signals behind its score.
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PDF AI Detector displays an overall AI score and per-page detection percentages. It highlights score patterns to help reviewers locate suspected AI content.
PDF AI Detector scores individual sentences and highlights likely AI, mixed, and human-written text. It helps reviewers examine specific passages beyond the overall document score.
PDF AI Detector examines PDF metadata to identify software and potential AI-generation clues. CudekAI adds metadata findings to text-based results without treating them as proof of AI authorship.
XMP
Detects AI-generated text from GPT, Claude, Gemini, Qwen, DeepSeek, Grok, and other AI models. Covers chatbot output, AI writing tools, and automated workflows without requiring model identification.
Extracts author, dates, PDF version, document IDs, XMP history, and security details. Displays document properties alongside detection results for further review.
Accepts PDF, DOCX, DOC, and TXT files for text analysis. Reads selectable PDF text directly without format conversion.
Extracts text from complex layouts containing tables and images while preserving reading order. Shows extracted text alongside detection results for verification.
Uses OCR to extract text from scanned PDFs and image-only documents. Flags incomplete extraction and offers a paste-text option when needed.
Combines AI scores, page maps, sentence highlights, software details, and metadata findings in one report.
PDF AI Detector analyzes perplexity, burstiness, text rhythm, sentence pacing, and word predictability to identify AI-writing patterns. It scores each page independently while accounting for common writing variations.
PDF AI Detector matches PDF metadata and text fragments against known tools, including ReportLab, WeasyPrint, Puppeteer, FPDF, and jsPDF. It treats matched fingerprints as supporting clues alongside writing signals.
PDF AI Detector assigns 40 points to strong indicators, 20 to medium, and 10 to low, with a maximum score of 100. It displays the total score, confidence percentage, and risk level, using a 25-point threshold for a likely AI-generated flag.
PDF AI Detector helps teachers, lecturers, and academic integrity teams check student submissions for AI-generated text.
CudekAI helps editors and content managers screen drafts, freelancer deliverables, and knowledge base articles before publication.
CudekAI PDF AI Detector assists hiring teams review written applications, take-home assessments, and submitted work samples.
CudekAI helps grant and proposal reviewers identify potentially AI-generated sections in funding applications and research proposals.
PDF AI Detector gives developers and enterprise teams an API-accessible tool for screening documents at scale.
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Upload a PDF, Word file, or text document by drag and drop, file browser, or paste. PDF AI Detector checks the file format before analysis.
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PDF AI Detector analyzes document text and metadata for AI-generation signals. CudekAI returns the detection results when processing finishes.
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Review the document score, page map, sentence highlights, and metadata in one view. PDF AI Detector lets you read, copy, or download the report.
PDF AI Detector delivers detection results without a processing queue. CudekAI helps reviewers check documents efficiently.
PDF AI Detector uses HTTPS and does not use uploaded files for model training. CudekAI documents its file-handling policy and report-retention practices.
PDF AI Detector works in a mobile-responsive browser and supports desktop browser extensions. CudekAI lets reviewers check selected text without opening a separate tool.
“The page-by-page scores help me locate sections that need a closer look. I don’t have to rely on one overall percentage.”
Teacher
“I use the sentence highlights to review submitted drafts more efficiently. They help me focus on specific passages.”
Content Editor
“The metadata report adds useful context when I review PDFs from different sources. I can check document details alongside the text score.”
Researcher
“Uploading Word files and PDFs in one place makes our initial review simpler. The report brings the main findings together.”
Academic Reviewer
“The detection score is a useful starting point for reviewing freelancer submissions. I still read the flagged passages before making a decision.”
Content Manager