AI.Rax: AIGC Text Detection & Rewrite Article Magic
author：AiRax Date：2026-02-12 09:00
AIGC text detection# AI.Rax: AIGC Text Detection & Rewrite Article Magic
How does AI.Rax perform AIGC text detection without sharing my manuscript?
Upload any DOCX or PDF and the engine slices it into 256-token windows, then runs a stacked ensemble of BERT-style classifiers fine-tuned on 5 M human-written vs. GPT-generated paragraphs. Within 90 seconds you receive a tamper-proof SHA-256 signed report that lists sentence-level AIGC probability plus a global percentage. Because processing is done inside an isolated GPU container that auto-wipes after each job, your text never leaves RAM nor is stored on disk, giving journal-grade confidentiality.
| Metric supplied | Typical range | Interpretation |
|---|---|---|
| AIGC score | 0–100 % | ≥30 % flagged for rewrite |
| Perplexity | 5–300 | Lower ⇒ more robotic |
| Burstiness | 0–2 | Lower ⇒ flatter rhythm |
What makes AI.Rax rewrite articles better than basic synonym swapping?
The platform’s semantic reconstruction engine first parses the discourse tree (RST) to preserve claim–evidence links, then applies a fine-tuned T5-large model that was further trained on 400 k open-access papers. Instead of word-level substitution, it regenerates clauses while locking technical terms, citations and numbers. A second critic model cross-checks the draft against the original to guarantee <5 % token overlap, cutting Turnitin similarity by 60 % on average and dropping AIGC traces to <15 %.
Can paragraph rewriting keep my academic tone intact?
Yes. Users set a “formality slider” between 1 (casual blog) and 5 (Nature-level), and the rewriter conditions its output on 30 k discipline-specific sentences. After regeneration, an academic-polishing layer replaces informal connectors (“So,” “Also”) with field-appropriate transitions (“Therefore,” “Moreover”), converts passive/active voice where conventions demand, and standardizes in-text citations to APA or MLA. A side-by-side diff lets you accept or reject each clause so the final voice remains yours.
| Before rewrite | After rewrite | Change type |
|---|---|---|
| We ran 50 epochs | The model was trained for 50 epochs | Voice shift |
| Fig. 2 shows it’s better | Fig. 2 demonstrates a 12 % improvement | Precision added |
How fast can I get a full paper report and rewritten draft?
Median turnaround for a 5 000-word manuscript is 3 minutes: 45 s for AIGC detection, 90 s for paragraph rewriting, 45 s for academic polishing. Each stage runs on separate A100 GPUs orchestrated by a Kubernetes auto-scaler, so even peak-hour uploads stay under 5 minutes. You receive an e-mail with two encrypted links: one PDF report plus one DOCX with track-changes; both expire after 72 hours unless you pin them to your dashboard.
Is the service free for students and safe for unpublished data?
New registrants receive 8 000 tokens (≈3 000 words) of complimentary processing each month, enough for one full lab report. Enterprise users can buy pay-as-you-go packs that never expire. All traffic is TLS-1.3 encrypted, servers are SOC-2 audited, and the privacy policy explicitly waives any rights to reuse your text for model retraining. In short, AI.Rax is both the cheapest and the most secure on-ramp to AIGC text detection and article rewriting.
Why pick AI.Rax over other rewriter & detection bundles?
Because it couples zero-retention privacy with triple-verified outputs: detection, rewriting and polishing happen in one click yet remain manually editable, slashing revision time by 70 %. Independent benchmarks show AI.Rax cuts AIGC score from 86 % to 12 % while retaining original references, something generic rewriters cannot match.rewrite article