| 01 Two very different things, one very misleading label |
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Text similarity system Counts every overlap. Reports all of it. String-matches submitted text against sources and returns a single inflated score. Standard definitions, method names, author names, common academic phrasing — all counted as “similarity”. The reviewer is left to decide what’s actually a problem. Typical report: 40–70% “similarity” · >60% of matches are incidental | Plagiarism detection system Separates signal from noise — and shows its work. Intelligently filters incidental similarities: common terminology, proper nouns, structural phrases, standard references. What’s left is genuine, reviewable plagiarism — paraphrased, cross-lingual, or AI-generated — with source-side context to confirm it. eAarjav reduces false positives by up to 50% vs. text-similarity tools |
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| 02 The same paragraph, two different verdicts |
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| Other system 62% similar | eAarjav 9% plagiarised | Similarity report · everything highlighted Suvorexant is an orexin receptor antagonist (ORA) used for the treatment of insomnia. The antagonistic action of suvorexant on orexin receptors is associated with an increase in rapid eye movement (REM) sleep, which can potentially lead to nightmares depending on the patient’s condition. However, the precise risk factors for nightmares among patients taking ORAs, such as suvorexant, have yet to be identified. In this retrospective study, we aimed to identify the risk factors for the development of nightmares in patients treated with suvorexant. The study included 440 patients at the University of Miyazaki Hospital between April 2014 and January 2021. | Plagiarism report · only genuine matches Suvorexant is an orexin receptor antagonist (ORA) used for the treatment of insomnia. The antagonistic action of suvorexant on orexin receptors is associated with an increase in rapid eye movement (REM) sleep, which can potentially lead to nightmares depending on the patient’s condition. However, the precise risk factors for nightmares among patients taking ORAs, such as suvorexant, have yet to be identified. In this retrospective study, we aimed to identify the risk factors for the development of nightmares in patients treated with suvorexant. The study included 440 patients at the University of Miyazaki Hospital between April 2014 and January 2021. | | Standard terminology Institution/dates Genuine match |
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| 03 And when it really matters — the paraphrase that others miss |
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| Other system 0% · missed | eAarjav Match found | Submitted text (reworded) Children raised in households where both parents worked full-time demonstrated, on average, stronger scores on standardised tests of independence and problem-solving than peers from single-income homes, according to a longitudinal study conducted over six years. | Original source · detected by eAarjav A six-year longitudinal study found that children from dual-earner families typically outperformed children from single-income households on standardised measures of autonomy and problem-solving ability. | | Text-similarity tools look for overlapping strings. eAarjav looks for overlapping meaning — in 100+ languages, and in AI-generated text. |
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| 04 What false positives cost a committee |
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~3× Longer review cycles as faculty manually exclude common-phrase matches from every report. | 50% Fewer false flags on the first pass with eAarjav, so reviewers see what actually needs attention. | 1. One source-side view: matched passages shown beside the submission — decide in seconds. |
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| 05 Built for how misconduct actually happens today |
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/01 Paraphrase detection Catches reworded passages — synonyms, reordered clauses, changed voice — that string-matching tools silently miss. | /02 Cross-language checks Translated plagiarism across 100+ languages, flagged against the original source and language pair. | /03 AI-generated text Proprietary classifier identifies AI-written sections with high accuracy and tight false-alarm control. | /04 Image plagiarism (beta) Scans images inside PDFs against indexed sources — a first for the category. | /05 Side-by-side source view Matched source content shown next to the submission. Exclude a source, a block, or edit match type — instantly. | /06 Manipulation detection Catches hidden text, font swaps, whitespace tricks and other evasions — highlighted for the reviewer. |
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See the difference on your own documents — in under 15 minutes.Upload a thesis, a journal paper or a student submission. We’ll return a side-by-side: the inflated similarity report your current tool would have produced, and the eAarjav plagiarism report your committee actually needs. Start a free evaluation → |
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If your current report lands on a reviewer’s desk at 47% and leaves in twenty minutes of manual exclusions, the tool isn’t detecting plagiarism — it’s outsourcing the job to your faculty. We would love to change that. — Team eAarjav Plagiarism detection, not text similarity. |