AirParser work starts with source documents, extraction rules, parsed fields, confidence gaps, exceptions, and the systems that receive the result. In a signed-in AirParser tab, Strawberry can help inspect the parsing context you select, compare extracted data against the source, prepare an exception queue, and document a review process.
Data owners remain responsible for validating fields before records, payments, or operational decisions rely on them.
01
Put the original document back into the quality check.
An extracted field is not trustworthy merely because it exists in a table.
Amounts, dates, names, identifiers, and line items need to be traceable to the source when an exception matters.
Strawberry can compare the selected AirParser result with its visible document context and prepare a verification queue that names the mismatch rather than making a silent correction.
02
Group parsing failures by the action they require.
A queue becomes hard to manage when a blurred scan, an unexpected layout, a missing field, and a business-rule conflict all look like the same kind of failure.
Strawberry can organise the exception context you open into categories that help an operator decide whether to recheck a document, adjust a process, or escalate an unusual case.
03
Protect downstream systems from plausible-looking bad data.
Incorrect extracted data can look ordinary enough to pass into an accounting, procurement, or customer workflow before anyone notices. The most important check is often the field that seems least remarkable.
Strawberry can prepare an approval-ready data-quality checklist from the extraction and destination context you make available, helping reviewers focus on the fields with real impact.
04
Use the exception trend to improve the input process.
The recurring failure pattern may be a supplier format, scanning process, missing template, or unclear field definition. A recurring review can turn individual exceptions into an actionable improvement list.
Save the agreed AirParser exception analysis as a skill. On the chosen review cadence, the routine prepares a private trend brief of confidence gaps, exception categories, and destination impact; a reviewer must still validate source values before exporting, changing a parser, or correcting downstream records.
No. Strawberry works with AirParser in the authenticated tab where extraction results are reviewed.
It can compare the visible extraction results with source documents and prepare an exception list for a data owner.
Corrections and exports should be checked for source accuracy and downstream impact before approval.
Yes. On your chosen review cadence, the routine can prepare a private exception brief covering confidence gaps, exception categories, and destination impact. A reviewer still validates source values before an export, parser change, or downstream correction.
AirParser Strawberry