Zkteco Dat File Reader ^new^ -

It breaks down the string. For example, a line like 17 2024-03-15 08:30:01 1 0 0 0 is decoded into: User ID: 17 Timestamp: March 15, 2024, at 8:30 AM Status: Check-In

The attlog.dat file intentionally omits names to keep file sizes small. To map names to IDs, you must also export the user.dat file and perform a VLOOKUP (in Excel) or a SQL JOIN operation using the User ID column as the common key.

Each field in this sequence typically corresponds to a specific piece of data: zkteco dat file reader

On your computer, the file is usually named attlog.dat or attlog.txt located in the root directory or a log folder on the USB.

The exact date and time of the punch ( 2026-05-25 08:30:15 ). It breaks down the string

import pandas as pd # Define input and output paths dat_file_path = "attlog.dat" csv_file_path = "attendance_records.csv" # Read the space/tab-separated .dat file # ZKTeco files often use variable whitespace, so delim_whitespace=True handles it perfectly try: df = pd.read_csv(dat_file_path, delim_whitespace=True, header=None, names=["Employee_ID", "Date", "Time", "Verify_Mode", "Punch_State", "Work_Code"]) # Combine Date and Time into a single column df["Timestamp"] = df["Date"] + " " + df["Time"] df = df.drop(columns=["Date", "Time"]) # Reorder columns for better readability df = df[["Employee_ID", "Timestamp", "Verify_Mode", "Punch_State", "Work_Code"]] # Save to CSV df.to_csv(csv_file_path, index=False) print(print(f"Successfully converted dat_file_path to csv_file_path")) except Exception as e: print(f"Error processing file: e") Use code with caution. Troubleshooting Common ZKTeco .DAT Issues 1. The File Looks Like Corrupted Binary ("Gibberish" Text)

Companies needing raw data for custom payroll integration 1.2.2. 2. TCMSv3/Ingress Software Each field in this sequence typically corresponds to

ZKTeco provides a (C#, Java, Python). You can write a service that:

A is a generic "data" file format. In the context of ZKTeco, it is a proprietary log file downloaded directly from the biometric device, usually via a USB drive. These files contain raw transaction records, including: Employee ID Date and Time of Punch Punch Type (Check-in, Check-out, Overtime)