OCR is the start. Not the finish.

OCR extracts text from a prescription image. That text is then mapped to fields — drug name, strength, quantity, prescriber — and passed to the pharmacy software. The accuracy of this approach depends entirely on the quality of the fax and the completeness of the text. When a fax is smudged, handwritten, or uses a non-standard format, the extracted text is wrong. And wrong extracted text means a wrong entry in Kroll — or a failed write with no clear resolution path.

OCR-based tools also cannot read your Kroll context. They do not know what strength of a drug you carry, what your preferred manufacturer is, or what the patient was dispensed last month. Every prescription is processed in isolation.

AutoRx uses a multi-agent AI pipeline that reads patient context, drug history, and your Kroll drug catalog and mix catalog before deciding what to write. When the fax says "atorvastatin 20mg," the agent checks what you carry, what the patient received previously, and what your formulary prefers — then picks the correct DIN. It does not guess from the text alone.

Vision comprehension handles smudged, rotated, and handwritten faxes that break OCR. The agent interprets the document the way a trained technician would — not by converting pixels to text, but by understanding the prescription as a whole.

Prescription intake is one step. AutoRx covers the full workflow: intake → AI parsing → Kroll context read → validated write → exception routing → webhook completion → dashboard visibility. Your team sees every prescription, every status, and every error — not just a parsed text file they still have to enter manually.

Intake-only tools stop at the point where the real automation work begins. The staff still has to open Kroll, find the patient, and type in the parsed data. That is not automation — it is assisted manual entry.