1. Upload a sample
Start with recurring document batches and operational pdfs and create a dedicated Box.
Automated data extraction
Automate Repetitive Document Data Entry
Apply a reusable schema to recurring documents and turn each file into a structured record with reviewer control.
No credit card Review before export CSV, Excel, JSON, PDF
Source document Ready
Structured output
Document metadata
Captured value
Reference codes
Captured value
Entity details
Captured value
Dates
Captured value
Amounts
3 rows extracted
Input
recurring document batches and operational PDFs
Process
AI extraction, OCR when needed, batch processing, and human review.
Output
repeatable structured outputs with fewer manual steps
How it works
A practical automation boundary
Document automation works best when the expected output is clear. Defining the fields, table columns, and validation expectations gives the extraction process a consistent target across every file in a batch.
Parsinto automates the reading and mapping work while preserving review. Teams can correct exceptions and keep decisions, approvals, and system writes inside their established controls.
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 metadata
Reference codes
Entity details
Dates
Amounts
Statuses
Line items
Custom table 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 repeatable structured outputs with fewer manual steps.
Use cases
Built for real document workflows
Keep the extraction step focused, auditable, and easy to hand off.
Recurring reporting
Extract the same measures from monthly or weekly PDF reports.
Document intake queues
Process batches before handing structured records to another team or system.
Manual-entry reduction
Shift staff from retyping documents to reviewing exceptions and outputs.
Evaluation checklist
What to check before you scale
Define a clear schema first
Test representative document variations
Keep review for exceptions
Connect exports through existing controls
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 automated data extraction software
What can automated data extraction replace?+
It can reduce repetitive reading, copying, and formatting of document fields and tables. It does not replace business approvals or judgment.
Can it automate a batch of PDFs?+
Yes. Group related documents in a Box and apply one extraction structure across the batch.
How are errors handled?+
Reviewers can inspect and correct extracted values before export; downstream validation should reflect the risk of the use case.
Does it work on scans?+
Yes. OCR reads scanned pages before values are mapped into the schema.
Keep exploring
View all tools Related document workflows
Try automated 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