Go to example tasks
Extract invoice data from a PDF
Pulls the invoice number, order number, dates, totals with their currency, VAT IDs and IBAN out of an invoice PDF, and returns the line items as a table. IBANs are checksum-verified and ambiguous dates are flagged, not guessed.
PDF to JSON Extractor — Tables, Fields & Structurepower_on/pdf-to-json-extractor
PDF
OK
Pages
Pages parsed
+10 fieldsTextNumberBooleanListObject
Input
PDF files(required):https://api.apify.com/v2/key-value-stores/power_on~examples/records/sample-invoice.pdf
Extract key fields:true
Detect tables:true
Output formats:json
Output fields
PDF
OK
Pages
Pages parsed
Tables
Scanned
JSON
Markdown
Tables CSV
Metadata
Fields
Pages charged
Duration ms
Error
Sign up on Apify01
Create your Apify account to access the PDF to JSON Extractor — Tables, Fields & Structure.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
