1. Upload a sample
Start with semi-structured business documents with layout variation and create a dedicated Box.
AI document processing
Process Business Documents With a Schema, Not Fragile Coordinates
Use AI-assisted extraction to find equivalent values across document layouts and turn them into consistent records.
No credit card Review before export CSV, Excel, JSON, PDF
Source document Ready
Structured output
Document type fields
Captured value
Entity details
Captured value
Dates
Captured value
Identifiers
Captured value
Amounts
3 rows extracted
Input
semi-structured business documents with layout variation
Process
AI extraction, OCR when needed, batch processing, and human review.
Output
schema-driven records ready for human or system use
How it works
The stages of AI document processing
A complete document-processing workflow reads the file, recognizes text when necessary, identifies relevant fields and tables, and presents a structured result. The output schema and review rules determine whether that result is useful downstream.
Parsinto combines these stages in a web workflow. Teams define what to extract, apply the configuration to related documents, review the values, and export data without writing position-based rules.
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 type fields
Entity details
Dates
Identifiers
Amounts
Narrative text
Line items
Transactions
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 schema-driven records ready for human or system use.
Use cases
Built for real document workflows
Keep the extraction step focused, auditable, and easy to hand off.
Intelligent intake
Convert incoming documents into structured records before routing or review.
Operations automation
Reduce repetitive extraction work across recurring PDF batches.
Product workflows
Add configurable document processing to an internal or customer-facing process.
Evaluation checklist
What to check before you scale
AI extraction needs representative testing
OCR quality affects scans
Business rules remain downstream
Review should match document risk
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 AI document processing
What is AI document processing?+
It uses AI and OCR to interpret document content and map selected values into structured fields and tables.
How is it different from fixed templates?+
AI can use labels and context rather than relying only on a value appearing at an exact coordinate.
Can I process different document types?+
Yes. Use separate schemas for invoices, statements, forms, reports, and other documents with different output needs.
Does AI remove the need for review?+
No. Review and downstream validation should reflect the quality of the source and the impact of the data.
Keep exploring
View all tools Related document workflows
Try AI document processing 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