Turn hours of
manual extraction
into seconds.
The AI-powered platform that transforms unstructured research papers into structured, verifiable datasets. Evidence-linked extraction with human verification — ready for meta-analysis in minutes, not months.
“After 12 months, the treatment group (n = 1,248) showed a mean HbA1c reduction of 0.78% compared to placebo…”
Systematic reviews
shouldn't take months.
Yet most research teams spend hundreds of vital hours on what SCIDEX intelligently automates in minutes.
Manual Copy-Pasting Data
Hours are wasted copy-pasting structured data points from cluttered academic PDFs to spreadsheets manually.
Completely Disconnected Evidence
Hard to track back where a precise statistic came from once it resides inside your master dataset table.
Format and Layout Inconsistency
Every scientific journal utilizes completely distinct table hierarchies, rendering standard parsers useless.
SCIDEX solves all three. AI extraction, evidence-linked verification, and standardized export — all unified in one workspace.
Everything you need for systematic review.
From multi-paper ingestion to final verified clinical data export — a completely seamless data pipeline.
AI-Powered PDF Parser
Intelligently extracts contextual raw narrative text, complex nested tables, and metadata charts.
Interactive Evidence Links
Click directly on any pulled dataset coordinate to jump straight to the source context block in the PDF.
Unified Deep Querying
Instantly fetch structured matching insights right across thousands of medical articles effortlessly.
Conflict Resolution View
Easily match and blend consensus updates directly alongside multiple blind independent secondary reviewers.
Risk of Bias Detection
Pre-screen baseline attributes instantly to trace qualitative methodological bias trends automatically.
Clean Format Exports
Instantly export cleanly mapped outputs native for R, STATA, RevMan, or analytical Excel templates.
Four steps from PDF to structured data.
Ingest Library
Drop matching PDFs or feed batch IDs directly from PubMed, arXiv or Scopus.
Automate Pull
Our models map, isolate, and structure key insights from text and figures in seconds.
Trace & Verify
Interactively crosscheck generated attributes via inline source anchor highlights.
Batch Export
Download clean, standardized evidence tables optimized directly for meta-analysis.
Built differently for empirical research.
Built and Tuned for Science
Trained natively on clinical trial reports and biomedical structures, avoiding the typical hallucinations of generic web models.
Verification First Model
We prioritize total data accountability over pure speed. Every extracted metric preserves pixel-perfect anchor coords.
Enterprise Grade Security
Fully secure sandbox architecture with strict encryption protocols complying heavily with global HIPAA and GDPR data rules.
Trusted by leading researchers worldwide.
“SCIDEX shaved off nearly three weeks of intense labor during our group's updated oncology meta-analysis timeline.”
“The cross-linked PDF verification layer gave our peer review board total confidence in our extracted numbers.”
“Finally an AI utility designed around strict academic precision rather than simple conversational fluff.”
Frequently asked questions.
Q: How accurate is the AI data extraction process?
SCIDEX yields up to 98% structural precision out-of-the-box. Our specific models are natively calibrated for complex biomedical vocabulary and tables, which minimizes errors.
Q: Can it safely parse blurred or old scanned paper formats?
Yes, our advanced OCR pipeline processes low-resolution layouts, automatically straightening text and recovering cellular columns cleanly.
Q: Does SCIDEX integrate directly with EndNote or Zotero?
Absolutely. You can import raw citation files directly or connect live sync tokens to pull clean libraries directly into the extractor pipeline.
Your next review,
extracted today.
No credit card required. Zero configuration. Sign up now and start transforming messy research papers instantly.