Inspect the source
The workflow verifies the PDF, counts its pages, and identifies whether it contains text, scans, or a mixture of both.
Manifest AI began with a recurring task: long freight PDFs—sometimes scanned—had to be retyped into Excel line by line. The product turns that repetitive handoff into a reviewable workflow.
Reduce manual entry without hiding uncertainty or removing human review.
The source remains the authority. AI prepares the data; the operator approves the deliverable.
The workflow handles a new format carefully, then becomes faster as approved vendor mappings are reused.
The workflow verifies the PDF, counts its pages, and identifies whether it contains text, scans, or a mixture of both.
A saved vendor profile is reused when available. New formats receive an AI-proposed set of line-item and document-level fields.
Pages are processed in controlled chunks, repeating rows are combined, and overlap duplicates are removed before review.
Operators can edit values and rows, trace line items to their source page, then export a structured Excel workbook.
Different vendors, scans, handwriting, and table layouts produce different results. Universal accuracy claims would hide that reality.
Designed for text PDFs, scans, and mixed documents—not only clean digital tables.
The target is the full repeating table and its supporting document information, not a short summary.
Field mappings can remain private to one workspace or be published by an administrator as shared profiles.
Warnings, source-page references, and editable review tables keep the final decision with the operator.
Manifest AI is developed as a focused product for document-heavy operations. The architecture separates the customer application from the document engine, supports controlled AI-provider fallback, and keeps extracted output reviewable before delivery.
A useful pilot begins with a real format, real fields, and a result your team can verify.