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Skandy AI - Plagiarism Checker

Skandy AI - Plagiarism Checker

SKANDY, LLC

Education免费v1.7.41
App Store
评分

N/A

星级

☆☆☆☆☆

最近更新

2026年2月7日

发布日期

2018年2月27日

更新内容

v1.7.41

Improved AI model adaptation based on context

应用信息

开发者
SKANDY, LLC
分类
Education
价格
免费
版本
1.7.41
App ID
1294116572

简介

Skandy is an AI-powered plagiarism checker and paraphrasing tool that helps you confirm originality and refine writing—fast. Paste text or upload documents, URLs, or images, and Skandy searches for potential matches and highlights what needs attention. When something is flagged, use the built-in AI paraphraser to improve clarity and uniqueness, then export a shareable PDF report. What you can do with Skandy - Check originality fast: Get detailed reports with match highlights and originality percentages. - Paraphrase with AI: Rephrase flagged sentences and paragraphs while preserving meaning and improving flow. - Scan multiple formats: Analyze pasted text, files, web pages (via URL), and images with text. - Export & share: Download clean PDF reports summarizing findings and changes. Why Skandy - Precision + speed: Modern AI models surface close and partial matches, not just exact copies. - Built for revision: Move from detection to improvement in one place—no copy-pasting across tools. - Privacy-first: Processing is designed with GDPR-aligned practices; your content stays yours. How it works 1. Add your content (paste, upload, URL, or image). 2. Review the originality report and highlighted matches. 3. Paraphrase flagged sections with AI. 4. Export a PDF report if you need to share results. Who it’s for Students, educators, researchers, writers, bloggers, lawyers, SEO, copyright experts and professionals, businesses who need quick originality checks and clean, readable text. Note: Use paraphrasing responsibly. Always review suggestions and cite sources where required by your institution or publisher.

下载量预测

专业 · 预览

预估总下载量

000
保守估计乐观估计

0

低 / 月

0

预估 / 月

0

高 / 月

基于0 条评分
假设评分率1.4%
应用年龄100 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。