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06
HR
00
MIN
00
SEC
Supported Languages:
English
French
Spanish
German
All others
1 Credit Cost
Detection Mode
Basic
Advance
Optional Add-ons
Sentence Analysis
Detailed Sentence level detection
Plagiarism Checker
Scan copied text online
AI Image Detector
Check if an image is AI-generated
AI Resume Detector returns an overall AI probability score for every document scanned. It reports the result as a percentage with a confidence score. CudekAI presents these as estimates, not certainties, because no detector proves how a document was written.
Resume Detector marks each line with a per-sentence prediction instead of one score for the whole file. It highlights the passages most likely to be machine-generated, and a token count shows how much text carried the result. CudekAI points to the exact sentences worth reviewing.
AI Resume Detector scans resumes, cover letters, job applications, professional bios, and academic CVs. It handles long-form CVs carrying publications, grants, and teaching sections at any length. CudekAI reads the text, and formatting or file type makes no difference to the result.
AI Resume Detector identifies output from ChatGPT, Claude, Gemini, Llama, Qwen, and DeepSeek while maintaining strong detection performance on older model output found in resumes.
Flags repetitive phrasing, identical bullet lengths, round-numbered metrics, and the verb-object-result bullet pattern AI writes by default. CudekAI catches all four before a recruiter does.
Measures sentence variety, burstiness, and verb clustering across a full document. Explains a high score instead of leaving a candidate guessing.
Scores personalized voice, varied sentence structure, and unique expressions as human indicators. AI Resume Detector protects a genuinely written resume from a false flag.
Checks whether achievements name real projects, actual numbers, and team sizes. Shows a candidate which bullets need a real number added.
Sorts results into bands, with scores under 30% reading as low risk and scores above 50% flagged as high. Settles whether a resume goes out today or gets another pass.
Re-scans an edited resume in one click, inside the same workspace. CudekAI confirms an edit worked without a fresh upload.
Analyzes one document at a time and returns its own result for each. AI Resume Detector keeps a weak resume from dragging a strong one down.
Attaches the last AI score to every saved version of a resume. Marks which tailored version is safest to send.
AI Resume Detector classifies every document as AI_GENERATED, HUMAN_GENERATED, or MIXED. AI Resume Detector analyzes text characteristics and composition without matching against a database of known writing. CudekAI returns the mixed category for documents that combine drafted and edited passages, which describes most working resumes.
CudekAI Resume Detector detects AI-written text at 97%+ accuracy and retrains the model on each new AI release. It uses the same model for current and older output, keeping detection consistent over time.
AI Resume Detector processes thousands of resumes and cover letters for recruiters working through high volumes. It returns a score per document that a hiring team reads alongside the application never in place of it.
Ran my own resume through it expecting a clean result and got 62%. Turns out I had leaned on the same three verbs for every bullet, which I would never have noticed.
Marcus D.
We screen about four hundred applications a cycle. The per-sentence highlighting is what makes it usable, since a bare percentage tells a recruiter nothing actionable.
Renee P.
Scores move a lot depending on how much I edit. The resume I rewrote by hand dropped from 71% to 18%, which felt right, but I would not treat any single number as final.
Farid A.
The version tracking saves me. I tailor for every role and now each saved copy carries its own score instead of me guessing which one I already checked.
Bianca L.
It flagged a section I had genuinely written myself. Worth knowing the score is a signal and not a verdict, especially if English is not a candidate's first language.
Owen K.