Document Classification
Areal classifies every page of every upload across 1,500+ mortgage and title document types — catching duplicates, splitting bundled PDFs and filing each document where it belongs. No manual sorting, no naming conventions to maintain.
1,500+
Document types supported
99%
Classification accuracy
2 sec
Typical API response
Millions
Pages processed weekly
What it does
Classification is the first thing that has to be right. Everything downstream — extraction, verification, agent workflows — depends on knowing what each page actually is.
Every page in a bundled upload is classified on its own, so a 90-page submission becomes correctly separated documents rather than one blob.
Repeat submissions are caught automatically, before they reach a processor's queue and get worked twice.
Bundled PDFs are separated into their constituent documents and named consistently, every time, by every user.
Classified documents are written to Encompass, MeridianLink, Byte or your TPS with no re-keying and no second queue.
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