AI Textraction can pull text from documents. Strawberry helps turn that output into dependable work by comparing it with the source file, highlighting uncertainty, and preparing the next review or routing decision.
Use it to check extraction quality, reconcile document fields, organise exceptions, and create a repeatable document-review process.
01
Compare extracted text with the source.
A clean-looking extraction can still lose a digit, join the wrong column, or misread a name.
Strawberry can review the AI Textraction output next to the original document and identify the parts that deserve a human check.
02
Route uncertainty to the right reviewer.
Not every extraction issue belongs with the same person.
An unreadable invoice total, a missing signature, and an ambiguous legal term need different owners and different evidence.
03
Make document batches reviewable.
A batch of files is hard to audit when every anomaly is hidden in a separate output.
Strawberry can assemble a clear review brief that shows the patterns, affected documents, and decision needed from each owner.
04
Keep the validation rule consistent.
Once a team agrees which fields require verification, that rule should follow the work rather than depend on memory. Save the check as a Strawberry skill for the next document set.
AI Textraction Strawberry