A document-processing workflow can run perfectly against the wrong file, table, or field mapping. Strawberry can inspect the PDF.co workspace pages you select alongside the source material in your browser, then prepare a review across processing jobs, extracted data, generated files, and exceptions.
It gives teams working in PDF.co a clearer way to handle processing jobs, extracted data, generated PDFs, and workflow exceptions before an irreversible document decision is made.
01
PDF automation needs evidence that the document understood correctly.
Strawberry can review the PDF.co jobs and outputs you choose, separating clean runs from files that show an unusual count, mismatch, or failed state. The output is a deliberate sample-check list, not a claim that every generated page is correct.
02
Extracted data is only useful when it still matches the source.
Put the PDF.co result beside the document it came from and ask Strawberry to prepare the values that deserve comparison. This is especially useful when a table, scanned page, or field label makes a plausible extraction look more reliable than it is.
03
Exception handling should explain what kind of repair is needed.
A mixed failure list creates needless back-and-forth between operations and technical owners.
Strawberry can group the visible PDF.co exceptions by bad input, incomplete extraction, or a generated-file concern, with enough context for the next person to investigate properly.
04
A morning exception brief protects the day’s document run.
A PDF.co skill can describe the output counts, sample rules, and source conditions that matter for one workflow. Have a business-day routine prepare the exception brief before new batches pile on top of old uncertainty.
PDF.co Strawberry