Precise dosage delivery is an obligatory requirement in pharmaceutical manufacturing. Minor deviation in the weight of a tablet can impede treatment effectiveness and even endanger a patient’s life. This study showcases a potential alternative to the conventional high-cost checkweighers to support small manufacturers. The proposed system integrates a 3-D printed robotic arm that has 6 degrees of freedom (6-DOF) with a commercial digital weighing scale and an Optical Character Recognition (OCR) system. The robotic arm is actuated by servo motors that are controlled by Arduino Uno and coordinated using Python scripts that utilize PaddleOCR for real time weight extraction. The system reads the displayed load from the digital screen of scale, compares it with the previously set tolerance values and takes sorting decisions automatically - either allowing the product to move to the next stage or rejecting it. Multiple trials indicate the processing time of each item is on average 8 seconds with precision up to 1 mg. This current prototype system demonstrates the possibility of replacing expensive milligram-level sensors with a vision-based solution. The outcome of this investigation indicates the potential of this system as a low-cost, reliable automation system that would be applicable in a controlled manufacturing environment that also highlights the pathways for improvements to enhance speed and accuracy.