What are you planning to use to read the file?
"I need those logs, Elias," Sarah, the HR manager, said for the third time. "No logs, no paychecks. People have mortgages." zkteco dat file reader
import pandas as pd # Define the file path dat_file_path = "attlog.dat" excel_output_path = "attendance_report.xlsx" # Read the tab-separated or whitespace-separated file try: # ZKTeco logs often use single or multiple spaces/tabs as delimiters df = pd.read_csv(dat_file_path, sep=r'\s+', header=None, names=["User_ID", "Date", "Time", "Verify_Method", "Status", "Work_Code", "Device_ID"]) # Combine Date and Time columns if they split automatically if 'Time' in df.columns: df['Timestamp'] = df['Date'] + ' ' + df['Time'] df.drop(columns=['Date', 'Time'], inplace=True) # Reorder columns df = df[["User_ID", "Timestamp", "Verify_Method", "Status", "Work_Code", "Device_ID"]] # Map Status codes to readable text status_map = 0: "Check-In", 1: "Check-Out", 2: "Break-Out", 3: "Break-In" df['Status'] = df['Status'].map(status_map).fillna(df['Status']) # Export to Excel df.to_excel(excel_output_path, index=False) print(f"Success! File converted and saved to excel_output_path") except Exception as e: print(f"Error reading the file: e. Check if the file is binary or encrypted.") Use code with caution. Method 4: Utilizing the ZKTeco SDK (For Developers) What are you planning to use to read the file
The ZKTEco Data File Reader offers a range of features that make it an indispensable tool for working with ZKTEco data files. Some of the key features include: People have mortgages
You will see rows of numbers like 1 2023-10-12 08:00:00 0 1 0 . The Breakdown: 1 : User ID 2023-10-12 08:00:00 : Date and Time 0 : Verification mode 1 : State (Check-in) 3. Third-Party "DAT to Excel" Converters
Over the years, developers and security researchers have reverse-engineered the ZKTeco DAT format. Several lightweight, portable, and often free tools have emerged.