Extract Employee HR Database to CSV

HR Data Extraction

Human resources databases contain sensitive employee information that often needs to be exported for reporting, auditing, or migration. The SQL to CSV tool processes this data entirely in the browser, ensuring it never leaves your machine.

Example SQL

CREATE TABLE departments (
  id INTEGER PRIMARY KEY,
  name VARCHAR(100) NOT NULL,
  manager_id INTEGER
);

INSERT INTO departments VALUES
  (1, 'Engineering', 101),
  (2, 'Marketing', 205),
  (3, 'Human Resources', 302),
  (4, 'Finance', 410);

CREATE TABLE employees (
  id INTEGER PRIMARY KEY,
  first_name VARCHAR(50) NOT NULL,
  last_name VARCHAR(50) NOT NULL,
  email VARCHAR(255) NOT NULL,
  department_id INTEGER REFERENCES departments(id),
  title VARCHAR(100),
  salary DECIMAL(10,2),
  hire_date DATE NOT NULL,
  is_manager BOOLEAN DEFAULT FALSE
);

INSERT INTO employees VALUES
  (101, 'Sarah', 'Chen', 'sarah.chen@company.com', 1, 'VP of Engineering', 185000.00, '2019-03-15', TRUE),
  (102, 'James', 'Wilson', 'james.w@company.com', 1, 'Senior Developer', 135000.00, '2020-07-01', FALSE),
  (103, 'Maria', 'Garcia', 'maria.g@company.com', 1, 'Developer', 105000.00, '2022-01-10', FALSE),
  (205, 'Emily', 'Brown', 'emily.b@company.com', 2, 'Marketing Director', 155000.00, '2018-11-20', TRUE),
  (302, 'David', 'Lee', 'david.l@company.com', 3, 'HR Manager', 120000.00, '2021-04-05', TRUE),
  (410, 'Lisa', 'Taylor', 'lisa.t@company.com', 4, 'CFO', 195000.00, '2017-09-01', TRUE);

Privacy Considerations

Since all processing happens in the browser:

• Employee names and emails never leave your machine
• Salary data is never transmitted over the network
• No server logs capture sensitive HR information
• You can verify this in the browser's Network tab

This makes the tool suitable for processing confidential HR data that would be inappropriate to paste into cloud-based conversion services.