Taskade Genesis reads clinical trial PDFs — study reports, CSRs, or published results — and structures every data table, endpoint, and adverse event record into a clean spreadsheet your research team can analyze immediately.
What Is AI Clinical Trial PDF-to-Spreadsheet Conversion?
It is an AI-powered extraction workflow that processes clinical trial documents, identifies patient demographic tables, primary and secondary endpoints, safety data, and statistical results, and organizes them into a consistent dataset with normalized column naming for downstream analysis.
Why Use This Converter?
- Multi-table extraction: All tables — baseline, efficacy, safety — are extracted and labeled by section.
- Unit preservation: Statistical annotations, p-values, and confidence intervals are captured, not stripped.
- Adverse event structuring: AE tables are parsed with preferred term, frequency, and grade columns.
- Persistent memory: The agent remembers your variable naming conventions across multiple documents.
- Seven views: Switch from Table to Mind Map for endpoint relationships via project databases.
Who Should Use This?
- Regulatory affairs teams compiling dossier data from multiple study PDFs.
- Medical writers extracting tabular data for CSR or publication drafts.
- Meta-analysts aggregating effect sizes from published trial PDFs.
- Biostatisticians importing raw tables for re-analysis without manual entry.
- Pharmacovigilance teams building safety databases from study report appendices.
How To Convert Clinical Trial PDFs to a Spreadsheet
- Click Use Converter to clone the Taskade Genesis app in about 10 seconds — no code required.
- Upload or paste your clinical trial PDF text into the input prompt.
- The AI agent extracts all data tables with section labels, row headers, and unit annotations into structured columns.
- Use the Relationship field to link extracted tables to the study record and protocol document.
- Export the spreadsheet for import into SAS, R, or your statistical analysis platform.
Discover research tools in /ai/apps and build custom extraction agents at /learn/agents/custom-agents.