1. Upload a sample
Start with unstructured and semi-structured business documents and create a dedicated Box.
Data extraction software
Extract Structured Data From Business Documents
Turn PDFs and scans into named fields and repeating rows for finance, operations, reporting, and application workflows.
No credit card Review before export CSV, Excel, JSON, PDF
Source document Ready
Structured output
Identifiers
Captured value
Names
Captured value
Dates
Captured value
Addresses
Captured value
Categories
3 rows extracted
Input
unstructured and semi-structured business documents
Process
AI extraction, OCR when needed, batch processing, and human review.
Output
consistent records in CSV, Excel, JSON, or PDF
How it works
Document extraction is more than text recognition
Business documents encode information through labels, position, tables, and page context. The useful output is rarely every character on the page; it is a defined set of fields that another person or system can understand.
Parsinto lets teams create that definition, process related files, and review each extracted record. It supports common document types without locking the workflow to a single fixed schema.
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.
Identifiers
Names
Dates
Addresses
Categories
Amounts
Long text
Repeating tables
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 consistent records in csv, excel, json, or pdf.
Use cases
Built for real document workflows
Keep the extraction step focused, auditable, and easy to hand off.
Finance documents
Capture invoice, statement, order, and report data in a consistent structure.
Operations records
Standardize incoming forms and PDFs before downstream processing.
Data projects
Create structured datasets from document archives or recurring feeds.
Evaluation checklist
What to check before you scale
Schema should match downstream needs
Scans require OCR
Tables need explicit column definitions
Review supports quality control
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 data extraction software
What does data extraction software do?+
It converts information from source documents into structured fields and tables that can be reviewed, exported, and reused.
Can Parsinto extract custom document fields?+
Yes. Configure field names and table columns around the business values you need.
Which documents are supported?+
Parsinto is suited to PDFs and scans such as invoices, statements, purchase orders, forms, and reports.
Can I export to a database?+
Export structured JSON or CSV, then load it through the controls and integration process used by your database.
Keep exploring
View all tools Related document workflows
Try 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