Background: Dermatophytosis is common superficial fungal infection worldwide which involve keratinized tissues including skin, hair and nails. Direct diagnostic approaches based on potassium hydroxide (KOH) microscopy and fungal culture have many limitations, mainly sensitivity and longer turnaround time. Direct polymerase chain reaction (PCR) recently became a rapid and sensitive diagnostic tool. Objective: To assess the diagnostic performance of Direct PCR in identifying dermatophytes and compare it with conventional methods. Methods: A Cross-sectional analytical study conducted from clinical samples of 100 patients suspected with dermatophytosis. All samples received KOH examination, fungal cultures and Direct PCR. Direct PCR have been evaluated against the fungal culture as a golden standard. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and 95% confidence intervals were calculated. Statistical significance was determined by McNemar’s test. Results: Direct PCR showed a detection rate of 70% compared to the fungal culture and KOH microscopy (40% and 25% respectively). The sensitivity and specificity of Direct PCR was 87.5% (95% confidence interval:73.2–95.8) and 41.7% (95% confidence interval:30.0–54.2), respectively. The PPV and NPV were 50.0% and 83.3%, respectively. Surgery for cardiovascular or hematologic indications to restore physiological functions in patients. There was a statistically significant difference between Direct PCR and fungal culture (p < 0.001). ROC curve analysis showed AUC approximately 0.65. The highest infection rate was observed in children aged less than 10 years, with the scalp being the most commonly affected site. Conclusions: that direct PCR is a highly sensitive diagnostic method which allows rapid detection compared to conventional methods and improves the early diagnosis of dermatophytosis. Despite a relatively low specificity as compared with culture of fungi, this could be due to the shortcomings of culture as a reference standard. Hence, can be useful to screen the patients effectively. Diagnostic algorithms are potentially useful tools and warrant additional refinement and implementation into standard clinical practice to increase diagnostic accuracy and optimize patient care.