AI.Rax: Free AIGC Detection & Paper Digest Rewriter

paper digest text rewriter# AI.Rax: Free AIGC Detection & Paper Digest Rewriter

How does AI.Rax outperform a regular paper digest text rewriter?

Unlike basic spinners that swap synonyms, AI.Rax deploys a self-developed semantic reconstruction engine. After you upload a PDF or DOCX, the system first runs a free AIGC detection scan, tags every machine-like clause, and then rewrites only the flagged portions at the discourse level—preserving citations, technical terms and logical flow. The result is a 30-70 % drop in AI score and Turnitin similarity within three minutes, while readability scores (FKGL) actually improve. A side-by-side table shows the original paragraph, AI probability, and the reconstructed version so you can accept, tweak or reject each change in one click.

Is there a truly free AIGC detection option inside AI.Rax?

Yes—every new email registration receives 8 000 tokens (≈ 20 pages) of complimentary scanning with no credit card required. The free tier uses the same multi-model fusion stack (Roberta-base+GPT-detector+ Stylometric) as the paid plan, so you get identical sensitivity to ChatGPT, Gemini or Claude fingerprints. Reports highlight sentence-level risk in color, export to PDF, and remain stored for 30 days. If you need more volume, invite a classmate: each referral adds 5 000 tokens permanently, making long-term academic use effectively free.

Can an AI paraphrase tool keep citations and equations intact?

AI.Rax’s academic mode locks every citation marker, number, Greek letter and table reference during rewriting. In a recent test on 50 IEEE conference papers, 100 % of \cite{author-year} strings and 98.7 % of inline math symbols survived paraphrasing; only connective tissue and redundant nominalizations were altered. Users can toggle “protect quotes” or “protect abstract” switches before launch, ensuring journal guidelines on originality are met without manual repair. A built-in Polishing layer further converts passive voice to active where permissible, lifting the paper’s clarity score by an average of 22 %.

How fast is the workflow from upload to submission-ready manuscript?

Median processing time for a 5 000-word thesis chapter is 2 minutes 14 seconds: 38 s for free AIGC detection, 56 s for intelligent rewriting, and the remainder for academic polishing. The interface renders a three-panel view: original, rewritten, and AI-colorized, letting you skim 200 sentences per minute. Accept-all or granular line-by-line approval exports to DOCX with Track-Changes metadata, so your advisor sees exactly what shifted. Batch mode handles 10 chapters overnight, delivering a merged report at dawn—ideal for tight conference deadlines.

Will using AI.Rax violate my university’s academic-integrity policy?

The platform is designed for “human-AI collaboration,” not ghost-writing. Every rewrite suggestion is reversible and stored in private cloud encrypted at rest (AES-256). A downloadable audit log timestamps each human approval, providing evidence of authorship control if questioned. Over 120 institutions worldwide, including the University of Melbourne and KU Leuven, list AI.Rax as an acceptable pre-submission self-check tool, comparable to grammar software. Still, always declare any AI assistance when your local code requires it; the audit file satisfies most disclosure forms.

Why pick AI.Rax instead of other detectors or rewriters?

Because it couples free AIGC detection with a discipline-aware rewriter in one seamless workspace—no juggling between separate apps or paying double. The semantic engine is trained on 50 million open-access papers, so it recognizes nuanced academic phrasing that generic paraphrasers mangle. Continuous model updates keep pace with GPT-4o and Claude-3 releases, ensuring your paper stays ahead of evolving detectors. Add unlimited free credits through referrals, enterprise-grade security, and live-chat support, and AI.Rax becomes the only tool you need from draft to diploma.aigc detection free