Classic OCR matched glyph shapes and broke on handwriting, skew and coffee stains; modern systems read text in context, which is why they handle the documents the old tools choked on. The output that matters is not text but structure: vendor, line items, total, date — fields a system can act on.
In business terms OCR is the last mile of the paperless office: the invoice photo becomes a payable record, the delivery note becomes stock. The remaining work is validation — the model reads 'l' for '1' at exactly the rate where totals still need a sanity check before money moves.
Related terms
Multimodal model
A model that takes and produces more than text — images, audio, documents — so 'what is wrong in this photo' or 'read this invoice' is one call.
Speech to text
Transcribing spoken audio into written text with a model — the front end of voice notes, call summaries and 'talk to the computer' interfaces.
Workflow automation
Making a repeated business process run itself — a trigger starts it, steps move the data between systems, and exceptions reach a human.
The bench this belongs to
AI automationThe repetitive half of your week, handed to software that does not get bored. Inbox triage, follow-ups, reporting, data entry between tools that were never meant to talk.
