TrustedIQ vs OCR & document extraction
Comparison
OCR (optical character recognition) and generic document-extraction tools turn a scanned page into machine-readable text. That is a useful first step — but reading the words is not the same as understanding the deal, and it does nothing to keep your systems in sync.
What OCR does
Converts a PDF or scan into text and, at best, pulls out a few fields. It does not know which number is the uplift, which date is the renewal, or whether your billing system matches any of it.
The gap
- No commercial understanding. Text on a page is not structured, validated commercial terms.
- No reconciliation. Extraction stops at the document; it never checks the systems that bill and report. See reconciliation.
- No source of truth. You get data points, not one trusted, source-linked record.
At a glance
| OCR / extraction | TrustedIQ | |
|---|---|---|
| Output | Text & raw fields | Validated commercial terms |
| Understands the deal | No | Yes |
| Reconciles across systems | No | Yes |
| Produces a trusted record | No | Yes, source-linked |
The point
Extraction is a feature; contract-to-cash intelligence is the outcome — trusted data, reconciled everywhere. Book a demo.