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What our service offers:

Quality

Databases. iPlagiarismCheck possesses an industry-leading collection of databases employed in originality detection checks. Each paper submitted to iPlagiarismCheck undergoes a series of comprehensive comparisons against the following databases:

Internet	The industry's most comprehensive index of the Internet (GOOGLE Search Engine, containing more than 8 billion documents updated continuously)
ProQuest	The entire family of ProQuest's ABI/Inform databases (over 1,100 publication titles, about 2.7 million articles from 1971 to present time, updated weekly)
FindArticles®	The FindArticles® database (over 5.5 million articles from over 900 periodical publications, updated daily)
Paper mills	iPlagiarismCheck's proprietary index of promotional abstracts from pre-written papers available for a fee on paper-mill and custom research Web sites (over 150,000 term papers and essays). This database helps identify papers purchased from pre-written paper databases and turned in without substantial editing
Institution	All previously submitted papers within the same institution (to avoid student privacy issues, iPlagiarismCheck does not maintain single cross-institutional database)

Reporting. The results of originality detection are presented in the form of iPlagiarismCheck Reports. Our reports are easy-to-read and provide educators with a meticulous analysis of all external sources included in a manuscript. To see a sample iPlagiarismCheck Report click here.

Turnaround. On average it only takes iPlagiarismCheck 2-3 minutes to produce a report (comparable figures for competing solutions are 10 minutes to 24 hours).
Multilingual Support. Besides English, iPlagiarismCheck effectively detects plagiarism and locates sources in 20 other languages. iPlagiarismCheck can be used for documents written in Albanian, Basque, Catalan, Danish, Dutch, Estonian, Faroese, French, Finnish, German, Icelandic, Irish, Italian, Latin, Norwegian, Portuguese, Rhaeto-Romanic, Scottish, Spanish and Swedish languages.
Masked Plagiarism. A unique originality detection engine built into iPlagiarismCheck allows detecting plagiarism that was intentionally masked by changing words to synonyms or swapping words in a sentence. This phenomenal technology is unique to iPlagiarismCheck and serves as an additional stimulus for students to submit authentic and properly referenced work.