Background: Voice is produced by using vocal cords. If there is any hindrance in production of voice overall communication is barred causing significant impact in quality of life of an individual. In the field of teaching frequent voice production is observed more than 6 to 7 hours per day. In this case, vocal complaints are clearly observed among primary school teachers. Objective: Teacher’s Attitude Towards Voice Related Quality of Life and Treatment Seeking Behavior Methods: A Cross sectional study was conducted in Lahore teacher’s community. Convenient sampling technique was used. The sample size was N=174. Sample population included both male and female primary school teachers with five years of teaching experience. However, it excludes university professors and other professional occupation. Voice handicapped index and Treatment seeking behavior questionnaire was filled by participants and data has been collected. The Voice Handicap Index (VHI) consists of 30 items that are grouped into three subscales: Functional, Physical, and Emotional. Each item is assessed using a 5-point Likert scale, ranging from 0 (never) to 4 (always). The total score for the VHI can vary from 0 to 120, with higher scores indicating a more significant perceived impact on voice-related quality of life. Each subscale (Functional, Physical, and Emotional) has a scoring range of 0 to 40. Treatment Seeking Behavior Questionnaire appears to be designed to assess individuals' perceptions, experiences, and behaviors related to their voice problems and treatment-seeking attitudes. Treatment Seeking Behavior Questionnaire, can calculate the frequency distribution for each response option ("Very much," "Somewhat," "Very low," "Not applicable") for each question. Data collected from the Voice Handicap Index (VHI) and Treatment Seeking Behavior Questionnaire was imported into SPSS 26. Categorical variables, such as gender and treatment-seeking behavior, were ensured to have consistent coding. Frequencies and percentages were calculated for categorical variables like gender. Distribution of scores were calculated for each subscale (Functional, Physical, Emotional). The overall VHI score and its descriptive statistics were calculated. Frequency distribution and percentages were calculated for each response option of the questionnaire items.