1. Upload a sample
Start with digital pdfs and image-based scanned pdfs and create a dedicated Box.
PDF text extractor
Extract Useful Text From PDFs, Not Just a Wall of Characters
Capture the text that matters from PDFs and scans, organize it into named fields, and export the result for spreadsheets, databases, or downstream automation.
No credit card Review before export CSV, Excel, JSON, PDF
Source document Ready
Structured output
Headings
Captured value
Reference numbers
Captured value
Names
Captured value
Addresses
Captured value
Dates
3 rows extracted
Input
digital PDFs and image-based scanned PDFs
Process
AI extraction, OCR when needed, batch processing, and human review.
Output
clean text mapped to named fields and reusable tables
How it works
PDF text extraction versus structured extraction
A basic PDF-to-text tool follows the reading order stored in the file. On complex layouts, that can mix sidebars, headers, table cells, and footnotes into an unusable sequence. OCR adds text recognition for scans, but raw OCR alone still does not explain what each value means.
Parsinto combines document reading with field extraction. You can ask for a contract date, reference number, address, table, or any other business value, then review the output before using it elsewhere. This is better suited to repeatable operations than copying an entire page into a text file.
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.
Headings
Reference numbers
Names
Addresses
Dates
Paragraph text
Table cells
Custom labels
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 clean text mapped to named fields and reusable tables.
Use cases
Built for real document workflows
Keep the extraction step focused, auditable, and easy to hand off.
Knowledge operations
Pull named facts from reports and forms without manually searching every page.
Document migration
Turn archived PDFs into structured text that is easier to index, sort, and import.
Automation builders
Export selected PDF content as JSON or CSV for a workflow instead of passing around raw page text.
Evaluation checklist
What to check before you scale
OCR for scanned and image-based files
Field-level extraction instead of raw page dumps
Custom templates for recurring document types
CSV, Excel, JSON, and PDF outputs
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 PDF text extractor
How do I extract text from a scanned PDF?+
Upload the scanned PDF, define or generate the fields you need, and let Parsinto use OCR to read the page. Review the detected values before exporting.
Does Parsinto extract all text from every page?+
Parsinto is designed for structured extraction. You select the values or tables you need, which avoids mixing irrelevant headers, footers, and layout text into the result.
Can I export extracted PDF text as JSON?+
Yes. Reviewed fields and tables can be exported as JSON, CSV, Excel, or PDF.
Will it work on multi-page PDFs?+
Yes. Parsinto can process multi-page business documents and capture fields that appear across their pages.
Keep exploring
View all tools Related document workflows
Try PDF text extractor 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