About Advacheck
Advacheck — Advacheck is a universal plagiarism detection system that effectively searches for both text and image similarities in scientific and student papers. It enhances the authenticity of academic papers and essays by verifying the credibility of texts and documents. Advacheck secures academic integrity for universities by detecting exact word matches and synonym swapping. Its advanced algorithms conduct a comprehensive internet search to deliver accurate and focused results. Advacheck technology can scan files and URLs in different languages and also detects translated text from other languages. Advacheck created a unique search engine to detect plagiarized images in documents, identifying all types of images and noting any changes that could be applied to them.
Top use cases
- Verifying the originality of student papers
- Ensuring the authenticity of scientific research
- Detecting plagiarism in publications
Built for
Key features
- Plagiarism detection for text and images
- Multi-language support
- Paraphrased content detection
- AI Content Checker
Pros & cons
Pros
- Detects exact word matches and synonym swapping
- Scans files and URLs in multiple languages
- Detects paraphrased content
- Detects plagiarized images
- Complies with GDPR
- Simple integration with internal services
Cons
- Pricing information not readily available
- Requires internet access for comprehensive search
Company information
- Advacheck Login Advacheck Login Link
- https://advatest.advacheck.com/?ReturnUrl=%2FteacherCabinet
- Advacheck Pricing Advacheck Pricing Link
- https://advacheck.com/products/#basic
Frequently asked questions
What types of files can Advacheck scan?
Advacheck can submit all types of file formats to scan for plagiarism.
Does Advacheck support multiple languages?
Yes, Advacheck technology can scan files and URLs in different languages. The system also detects translated text from other languages.
Does Advacheck detect image plagiarism?
Yes, Advacheck created unique search engine to detect plagiarized images in documents. We identify all types of images and note any changes that could be applied to them.
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