Textile-based pressure sensors are emerging in various fields, including human health monitoring, capturing human movements, examining human-machine interactions, and robotic applications. Each application area necessitates different performance specifications for these pressure sensors. In this study, flexible and wearable textile-based pressure sensors were produced using a conductive paste containing silver nanoparticles via a pad printing method. To ensure efficient operation within the pad printing machine, a formulated silver conductive paste was printed onto a polyamide-based taffeta label fabric. Following the printing process, the produced sensors underwent a sintering process at various temperature and duration to optimize the performance of the sensors. The sintering conditions employed in this study were 120 °C for 30 min, 150 °C for 15 min, and 150 °C for 30 min. Conductivity measurements for printed surfaces were carried out using four-point probe system. Among various sensing mechanisms, a capacitive sensing mechanism was selected for the printed pressure sensors. Accordingly, a nonwoven fabric was incorporated as an insulating material between the textile-based pressure sensors, creating a sandwich structure. The performance of the produced pressure sensors was measured using a LCR meter. Changes in capacitance of the printed pressure sensors were recorded by applying coins and standard weights to their surfaces. The sensitivity and performance of the textile-based pressure sensors subjected to different sintering processes were evaluated based on capacitance variations. As a result of the evaluations, it was determined that the pressure sensor with the best performance was the sensor exposed to the sintering process at 150 °C for 30 min, and the best conductivity was also obtained in the same sensor structure subjected to this sintering process (150 °C, 30 min). This study concludes that the sintering process is critical for conductive structures containing nanoparticles. Additionally, considering the performance of the proposed pressure sensor, there is significant potential for its application in critical areas such as human health monitoring, tracking physical activities, and human-robot interactions.