Extract Tables from Research Papers with AI
How to extract tables from research papers
1. Upload a research paper PDF
Upload a PDF from arXiv, bioRxiv, PubMed Central, or any academic conference/journal. The tool also works with .pdf files from your local library.
2. AI detects all tables and captions
Our AI identifies results tables, methodology tables, participant demographics, benchmark comparisons, ablation studies, and supplementary tables — preserving captions and footnotes.
3. Download to Excel or CSV
Export each table as a separate sheet in Excel or individual CSV files, ready for systematic review, data synthesis, or re-analysis.
AI vs Manual Research Paper Table Extraction
Stop copying tables from PDFs by hand
- × Stop retyping numbers from long result tables
- × Stop struggling with two-column layouts and wrapped text
- × Stop losing table captions and footnotes during copy-paste
Let AI extract paper tables instantly
- ✓ Extracts all tables in seconds, even from scanned papers (OCR)
- ✓ Preserves table structure, captions, and footnote markers
- ✓ Handles multi-page tables and rotated (landscape) layouts
Best AI tool for academic paper table extraction
Extracts all types of research tables
Results tables (performance metrics), ablation studies (model variants), benchmark comparisons (state-of-the-art), statistical summaries (p-values, confidence intervals), and demographic tables — all preserved with original accuracy.

Handles complex academic layouts
Works with two-column PDF layouts, tables that span across pages, rotated (landscape) tables, and tables embedded within supplementary materials. No need to pre-process.

Export to Excel, CSV, or JSON for meta-analysis
Directly feed extracted tables into systematic review tools (e.g., RevMan, JASP), statistical software (R, Python pandas), or literature databases.

Common research paper extraction use cases
Systematic Reviews & Meta-Analyses
• Extract effect size tables from clinical trials
• Collect primary outcome data from multiple studies
• Build evidence tables for Cochrane reviews
Machine Learning & NLP Research
• Extract benchmark scores from arXiv papers
• Compare model performance across ablation studies
• Build leaderboard datasets from conference proceedings
Medical & Life Sciences
• Extract patient demographics and baseline tables
• Pull adverse event tables from clinical study reports
• Collect gene expression or proteomics summary tables



