1. Upload a sample
Start with invoices, statements, orders, forms, and reports and create a dedicated Box.
Document data extraction
Convert Document Content Into Reusable Business Records
Capture the fields and repeating tables hidden inside operational PDFs, scans, and reports.
No credit card Review before export CSV, Excel, JSON, PDF
Source document Ready
Structured output
Document references
Captured value
Names and parties
Captured value
Dates
Captured value
Addresses
Captured value
Amounts
3 rows extracted
Input
invoices, statements, orders, forms, and reports
Process
AI extraction, OCR when needed, batch processing, and human review.
Output
document-specific schemas with consistent output fields
How it works
One extraction workflow, many document schemas
Different documents require different structures. A bank statement needs transactions, an invoice needs line items and totals, and a form may need named responses. Treating all of them as plain text loses the structure that makes the data useful.
Parsinto lets each document workflow define its own fields and tables while using a consistent upload, batch, review, and export process. That gives teams flexibility without creating a separate manual process for every document type.
Configurable schema
Extract the fields your workflow needs
Start with AI-suggested fields, then edit the names and table columns so the output matches your process.
Document references
Names and parties
Dates
Addresses
Amounts
Free-text responses
Selections
Repeating rows
Three steps
From source document to structured output
2. Define and extract
Use suggested fields or edit the schema, then process related documents in a batch.
3. Review and export
Check the extracted values and download document-specific schemas with consistent output fields.
Use cases
Built for real document workflows
Keep the extraction step focused, auditable, and easy to hand off.
Cross-functional intake
Standardize how finance and operations teams turn documents into records.
Legacy document conversion
Create structured datasets from stored PDFs and scanned archives.
Workflow integration
Use JSON, CSV, or Excel as the handoff to downstream tools.
Evaluation checklist
What to check before you scale
Use a schema per document purpose
Separate fields from tables
Review sensitive or high-impact values
Keep source documents traceable
Why teams use Parsinto
Configurable output
Name the fields and table columns around your own process.
Digital PDFs and scans
Use OCR only when needed while keeping one extraction workflow.
Review before handoff
Inspect extracted values before they reach another person or system.
Portable formats
Export CSV, Excel, JSON, or PDF instead of locking data into one destination.
FAQ
Questions about document data extraction software
What kinds of document data can Parsinto extract?+
It can extract short fields, dates, numbers, longer text, and repeating tables from supported PDFs and scans.
Do all documents use the same template?+
No. Create separate Boxes and field structures for document types that require different outputs.
Can it process documents with changing layouts?+
AI extraction can locate equivalent concepts across layout variation, and templates remain editable for your dataset.
Can teams review the result?+
Yes. Extracted data is available for inspection and correction before export.
Keep exploring
View all tools Related document workflows
Try document data extraction software with your own document
Create a Box, upload a representative file, review the suggested fields, and see whether the output matches your workflow.
Start extracting free