1. Upload a sample
Start with scanned forms, reports, invoices, statements, and archived records and create a dedicated Box.
Scanned document extraction
Turn Scanned Documents Into Structured Fields and Tables
Recover useful data from image-only records, map it into a schema, and review the result before export.
No credit card Review before export CSV, Excel, JSON, PDF
Source document Ready
Structured output
Document references
Captured value
Printed names
Captured value
Dates
Captured value
Addresses
Captured value
Amounts
3 rows extracted
Input
scanned forms, reports, invoices, statements, and archived records
Process
AI extraction, OCR when needed, batch processing, and human review.
Output
structured data linked to the original scanned document
How it works
A scan preserves the page; extraction unlocks the data
Scanned documents are easy to store but difficult to search, analyze, or import because each page is an image. OCR makes the characters readable, yet business workflows still need those characters organized into known fields and repeating rows.
Parsinto combines OCR with configurable extraction. Teams define the schema for a document type, process related scans, review values affected by image quality, and export a structured result while retaining the source for reference.
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
Printed names
Dates
Addresses
Amounts
Text responses
Selections
Scanned 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 structured data linked to the original scanned document.
Use cases
Built for real document workflows
Keep the extraction step focused, auditable, and easy to hand off.
Archive digitization
Create structured records from historical scans without discarding the source pages.
Paper-to-digital intake
Extract values from documents captured by scanner before downstream handling.
Mixed document queues
Process digital PDFs and scanned files through a shared schema and review workflow.
Evaluation checklist
What to check before you scale
Readable scan quality matters
OCR precedes semantic field mapping
Review should focus on low-confidence values
Source files remain available for reference
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 scanned document data extraction
What is scanned document data extraction?+
It uses OCR to recognize text in page images and then maps selected content into structured fields and table rows.
Which scan formats work best?+
Straight, high-resolution pages with clear contrast and legible text produce the best results. PDF scans are convenient for multi-page records.
Can Parsinto extract tables from a scanned document?+
Yes. Define the table columns and review the resulting rows, especially where the source image is faint or skewed.
Can I process scanned and digital PDFs together?+
Yes. Related files can use the same extraction structure even when some contain digital text and others require OCR.
Keep exploring
View all tools Related document workflows
Try scanned document data extraction 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