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Every vendor in this category says the word OCR. Most of them mean something larger, and the ones who mean it literally are selling you a fraction of the job. Here is where the line falls.
OCR turns a picture of text into characters. IDP works out what those characters mean — which number is the PRO, whether the weight is plausible, whether a signature is missing — and what should happen next.
OCR is one step inside IDP, not an alternative to it. A carrier who buys OCR alone gets searchable images and a person still keying. The difference shows up in a single number: how many documents finish without anyone touching them.
| OCROptical character recognition | IDPIntelligent document processing | |
|---|---|---|
| The job | Convert an image of text into machine-readable characters. | Classify, extract, validate and route. OCR is the first step of four. |
| Knows what it’s looking at | No. A bill of lading and a fuel receipt are both just text. | Yes. Identifies the document type before deciding which fields matter. |
| Handles layout variation | Poorly. Template-based OCR needs a fixed position for each field, so every new customer format is a new template. | Designed for it. Finds a field by what it means rather than where it sits on the page. |
| Checks its own work | No. It returns characters and has no opinion about whether they make sense. | Yes. Cross-checks against your data — does this PRO exist, does the weight fit the trailer, is the date possible. |
| Knows when it’s unsure | Some engines return a confidence score per character. Nothing acts on it. | Routes low-confidence documents to a person and lets the rest through untouched. |
| Updates other systems | No. Output is text, and somebody puts it somewhere. | Yes. Posts validated data into the TMS, imaging, payroll or the general ledger. |
| What good looks like | Character accuracy on clean scans. | Straight-through rate — the share of documents finishing with no human touch. |
| Staff impact | Typing becomes proofreading. Roughly the same hours. | Most documents need nobody. Staff handle the exceptions instead of the queue. |
Character accuracy and document accuracy are different measurements, and vendors quote whichever flatters them. A bill of lading might carry 40 fields. If every one of those fields is read correctly 99% of the time, the odds of the whole document being right are considerably worse than 99% — and one wrong field means a person opens it anyway.
Ask for the straight-through rate on your own document mix instead. It is the only figure that maps to hours you stop paying for.
OCR was built for scanners. Transportation documents arrive as phone photographs taken in a cab — angled, creased, half in shadow, occasionally with a thumb across the corner. Character recognition degrades quickly under those conditions.
Handling that reliably takes image correction before recognition and validation after it, which is the part that sits outside OCR’s job description entirely.
IDP costs more than OCR, and there are operations that do not need it. If the following describes your document flow, buying a full pipeline is over-solving the problem.
Outside those cases, OCR alone tends to move the work rather than remove it — and proofreading is not much cheaper than typing.
Adaptive Capture™ checks the work rather than the photograph — whether the document is complete, whether the values agree with your TMS, whether a signature is where it should be. Recognition is a component inside that, not the thing being sold.
Straight-through rate on your own documents, not character accuracy on theirs. Send a representative sample — including the bad photographs, not just the clean ones — and ask what share finishes with no human touch. Any vendor unwilling to run that test is telling you something.
Yes, for exceptions, and that is the design rather than a shortfall. The goal is not zero staff, it is staff working on the documents that genuinely need judgment instead of the whole queue.
Sometimes it is closer than the marketing suggests, and sometimes it is literal OCR with a template per customer. The question to ask your vendor is what happens when a document arrives in a layout nobody configured — if the answer is that somebody builds a template, that is OCR.
Depends on how many document types and formats you receive. A system that learns from your corrections improves fastest in the first weeks, which is also when you should be measuring it hardest.
Want the straight-through rate on your own documents? Send a sample including the difficult ones and we will run it rather than quote an average.
Test our claim →The creased ones, the shadowed ones, the one with a thumb over the corner. Those decide whether any of this works, so those are the ones worth testing.
