STEP 01
Choose the research paper workflow
Start from the Academic papers category, then choose Literature review to load a field set designed for evidence tables.
Use cases
See document extraction in context.
Follow a real extraction workflow from source documents to cited, structured results ready for review, export, and analysis.
Research paper extraction
From a PDF paper to a cited dataset.
This walkthrough shows how a research team can extract structured study details from papers while keeping every answer tied to its source page.
STEP 02
Define the fields
Fields are explicit: name, type, and description. The model is given a precise schema instead of a vague prompt.
STEP 03
Upload papers and start extraction
Upload one paper or a batch. DataSnipe shows the field summary, selected model, estimated cost, and extraction progress for every file in the job.
STEP 04
Review the completed job
Once the batch finishes, the overview summarizes completed extractions, token usage, total spend, and table-ready results.
STEP 05
Review cited results
Open detailed results for a paper to inspect each extracted field, page number, confidence score, and citation link.
STEP 06
Export to a spreadsheet
Export normalized or flattened results to CSV or the clipboard, so the extraction can move straight into Sheets or downstream review.
