Extract data from invoice PDF files
Extract information from PDF invoices
Show-case multiple ways of extracting information from different kinds of PDF files (text based or scans), mainly presenting invoice data.
Read more on the challenges of getting information out of PDF files.
Extract Text Data With RPA
Extract textual data with the local help of
Watch demo: https://www.loom.com/share/4bc28045f45941d18d935a60e35e227a
Usually this is sufficient for most of the cases.
Extract Tabular Data With Camelot
Extract tables with the Camelot library. (see external dependency)
Watch demo: https://www.loom.com/share/87d434dad8d748ada566a8c199cbea90
This is useful for getting out nicely formatted tabular data, but comes at the cost of heavier dependencies brought in the built environment.
Extract Structured Data With AI
Extract fields detected in both text or image-based PDFs using 3rd-party external
services wrapped by the
Watch demo: https://www.loom.com/share/e9753b884b6f4aa1ac0271580a0cf682
When all the options above fail (or provide inaccurate data), it is time to employ a Machine Learning model specially trained to detect and structure fields of interest from the provided input file, be it text-based or even image.
Last updatedFebruary 1, 2023
LicenseApache License 2.0