DocuClipper's AI template engine lets you define exactly what fields to extract from any document type — contracts, pay stubs, brokerage statements, or any financial form — using plain-language prompts.

Extract, transform, analyze, and automate your financial document workflows.
Not just bank statements — extract from any structured PDF or form.
Describe what you want to extract; the AI figures out the layout.
Same field names and formats every time, across document variations.
Analysts and operations teams build parsers without code.
Upload documents and get structured, validation-ready data.
Transactions + balances, extracted and validated.
Learn moreVendor, totals, and structured line items.
Learn moreOCR from messy receipt photos into clean data.
Learn morePayee, amount, and check number extraction.
Learn moreW-2, 1099, and paystub structured extraction.
Learn moreUpload a representative example of the document you want to parse.
Use plain English to describe each field you need extracted.
Run the template against your sample and adjust field definitions until accurate.
Apply your template to hundreds of documents in batch.
Explore the key capabilities behind your structured data pipeline.
Build custom parsers with natural language prompts.
Learn moreStructured extraction from any financial PDF.
Learn morePre-built, no-template parser for bank statements.
Learn moreApply custom templates across large document volumes.
Learn moreTrigger custom extraction jobs programmatically.
Learn moreExport to the systems your team already uses.
| Feature | DocuClipper | Manual process |
|---|---|---|
| Copy/paste into Excel | Automated extraction | Manual process |
| Errors | Accurate and consistent | Error-prone |
| Time to usable data | Minutes | Hours |
| Scaling to volumes | Bulk processing | Limited by headcount |
Reconciliation checks confirm completeness, not just OCR text extraction.
Deterministic logic keeps outputs consistent and auditable.
Standardize bank formats, scans, and multi-page documents automatically.