1. Upload a sample
Start with scanned business documents with varied layouts and create a dedicated Box.
AI OCR
Use AI OCR to Understand Fields, Not Only Characters
Extract the meaning and structure behind scanned document text, including labeled values and repeating tables.
No credit card Review before export CSV, Excel, JSON, PDF
Source document Ready
Structured output
Context-aware dates
Captured value
Labeled identifiers
Captured value
Entity names
Captured value
Addresses
Captured value
Monetary values
3 rows extracted
Input
scanned business documents with varied layouts
Process
AI extraction, OCR when needed, batch processing, and human review.
Output
semantically mapped fields and table rows
How it works
How AI extends traditional OCR
Traditional OCR answers: which characters are visible on this page? AI-assisted extraction adds a second question: which business concept does this text represent? That distinction matters when a date may be an issue date, due date, or transaction date.
Parsinto combines OCR with configurable field descriptions and table schemas. It can locate equivalent information across layout variations and present the structured result for review.
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.
Context-aware dates
Labeled identifiers
Entity names
Addresses
Monetary values
Status fields
Line items
Transaction 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 semantically mapped fields and table rows.
Use cases
Built for real document workflows
Keep the extraction step focused, auditable, and easy to hand off.
Variable supplier layouts
Find equivalent invoice or order fields even when page design changes.
Mixed document intake
Use one workflow for digital PDFs and image-only scans.
Custom schemas
Describe the values your operation needs instead of accepting a fixed OCR output.
Evaluation checklist
What to check before you scale
AI adds semantic mapping
OCR still depends on readable source images
Schema definitions guide the output
Review remains important
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 OCR
What is AI OCR?+
AI OCR combines character recognition with models that map recognized content into meaningful fields, tables, or document concepts.
Is AI OCR better for variable layouts?+
It can be more flexible than fixed coordinates because it uses labels and context, though representative testing is still necessary.
Can I define my own fields?+
Yes. Parsinto templates let you shape the output around your document and workflow.
Can AI OCR extract line items?+
Yes. Use table fields for repeating rows such as invoice items or bank transactions.
Keep exploring
View all tools Related document workflows
Try AI OCR 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