For Indian medical prescriptions, buyers should prioritize handwriting extraction, medicine and dosage text capture, support for varied layouts, privacy controls and mandatory human review.
See XPndAI Prescription OCRDoctor handwriting varies widely, so the workflow should be designed for uncertain text and confidence-aware human review.
Useful outputs may include visible drug names, strength, dosage text, frequency, duration and instructions as written.
Medical documents contain sensitive information. Access, retention, security and review requirements should be defined before deployment.
XPndAI Prescription OCR is positioned for digitization and structured extraction from printed or handwritten prescription images. It is part of Extract AI by XPndAI, the company’s document OCR and extraction product.
Prescription OCR should support document digitization and human-reviewed workflows. It should not diagnose, prescribe, recommend substitutions or make autonomous medication decisions.
Ask whether low-confidence or ambiguous text can be flagged for human review instead of silently accepted.
Check whether extracted text can be structured for records, pharmacy review, document indexing or another approved workflow.