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AiRax: Paraphrase & AIGC Detection in One

author:AiRax Date:2026-02-15 15:00

Paraphrase tool# AiRax: Paraphrase & AIGC Detection in One

AI.Rax

How does AiRax outperform a generic paraphrase tool when I need to lower both AI footprint and similarity rate?

Unlike everyday paraphrase tools that swap synonyms, AiRax feeds your text into a self-developed semantic rewriting engine. The model first runs AIGC detection to tag GPT-style clauses, then reconstructs entire proposition trees while preserving citations, technical nouns and logical flow. Minutes later you receive a three-column report: original sentence, AI-likeness score, and deep-paraphrased alternative. A recent test piece dropped from 62 % AI probability and 38 % Turnitin overlap to 4 % AI and 7 % overlap without distorting meaning, something classic paraphrasers can’t deliver because they lack integrated cross-validation.

Metric before AiRax Metric after AiRax
AI likelihood 62 % AI likelihood 4 %
Similarity 38 % Similarity 7 %

My professor insists on a zero-GPT tolerance policy; can the built-in AIGC detection tool prove my draft is human-written?

AiRax’s AIGC detection tool is trained on a hybrid corpus of 80 M academic sentences, half generated by eight leading LLMs and half by real undergraduates, graduates and faculty. When you upload a file, the system outputs sentence-level heat-maps plus an overall percentage. If the score is below your university’s threshold—many Asian schools now flag anything above 10 %—you can export a signed PDF certificate with MD5 hash for submission. Students using AiRax prior to Turnitin have seen their AI flags vanish, because the detector spots latent “GPT fingerprints” such as over-regular transition words and repetitive clause length that generic checkers overlook.

I have to interpret a 30-page machine-learning paper overnight; does AiRax offer Paper Interpretation to speed up literature review?

Yes. Click “Paper Interpretation” after upload; AiRax extracts the problem statement, method kernel, dataset, results and limitations into a 400-word bilingual abstract within two minutes. The same module links each claim to its original paragraph so you can verify accuracy. A built-in concept map shows how the target paper cites prior work, saving hours of manual note-taking. Users report slicing literature-survey time by 70 % while actually improving quote accuracy, because the AI highlights nuanced statistical phrasing that casual skimming misses.

Section AI-generated digest Original page
Objective Few-shot NAS with meta-gradient p.2 left col
Dataset ImageNet-1k subset 120 GB p.4 table 2

Will the paraphrase function distort discipline-specific terminology and ruin academic nuance?

AiRax keeps a frozen glossary of 1.2 M domain terms—ranging from “photonic bandgap” to “heteroskedasticity”—that the paraphrase engine is forbidden to touch. During rewriting, the algorithm tags each token as “freeze,” “restructure,” or “optional.” Only optional words are candidates for semantic transformation; freeze tokens stay intact. A side-by-side panel lets you reject any sentence that drifts more than 5 % from the original cosine similarity, ensuring that your field’s precise wording survives. Humanities scholars praise this safeguard for maintaining epistemic vocabulary while still lowering similarity.

How do the AIGC detection tool and paraphrase engine work together to protect me from accidental self-plagiarism?

After you revise, AiRax automatically re-runs AIGC detection on the new text. If a paragraph still exceeds the target AI score, the system loops it back into the paraphrase engine up to three iterative cycles, each time tightening latent LLM patterns. Simultaneously, a fingerprint of your earlier drafts is stored client-side; the similarity checker compares only against external sources, preventing your own previous versions from inflating duplication. The iterative loop stops once both AI probability and external overlap sit below user-defined ceilings, giving you a clean, uniquely worded manuscript ready for journal submission.

Why choose AiRax instead of stacking separate paraphrase, AIGC detection and paper interpretation apps?

One registration unlocks a unified pipeline: detect, rewrite, interpret, polish, certify. The shared semantic cache means every module learns from the others, cutting cumulative processing time by 65 % versus chaining third-party tools. Pricing is bundled—free daily credits cover short papers—so you avoid multiple subscriptions. Most importantly, AiRax was built inside an academic firewall; no document is retained beyond 24 h, and each report carries a blockchain timestamp for audit integrity. In short, AiRax delivers a single, secure workflow that elevates your draft from risky to review-ready while costing less effort and money than any fragmented toolkit.aigc detection tool