Creating an Extraction Template
Navigate to Tabular Extraction from your project dashboard.
Template Builder
| Field | Description |
|---|---|
| Table Name | Descriptive name (e.g., “Summary of Included Studies”) |
| Description | Optional: what this table captures |
| Columns | The data fields to extract from each paper |
Adding Columns
For each column, specify:- Column Name — The data field (e.g., “Study ID”, “Population”, “Intervention”)
- Data Type — Text, Number, or other types
- Description — What to extract (helps the AI understand what you need)
Example Template
A typical “Summary of Included Studies” template might include:| Column | Description |
|---|---|
| Study ID | Unique identifier or citation |
| Population - Inclusion criteria | Characteristics required for participation |
| Population - Exclusion criteria | Characteristics that disqualify |
| Intervention | Details of the intervention |
| Comparator | Control or alternative treatment |
| Outcome reported with time points | Results at which time points they were assessed |
Running AI Extraction
After creating your template:
- Click Extract All to run AI extraction on all finalized papers
- The AI reads each paper’s full text and fills in every column
- Results appear in a structured table
Side-by-Side Review
Click View Results to see the extraction table alongside the source PDFs.
- Left side — Extracted data in table format
- Right side — The source PDF with highlighted passages
Managing Results
| Action | Description |
|---|---|
| View Results | See the full extraction table |
| CSV | Export as CSV for spreadsheet analysis |
| Long CSV | Export in long format (one row per data point) |
| Retry Failed | Re-extract papers where AI extraction failed |
| Delete | Remove this template and its extractions |