Convert Plain English to Terminal Commands

Type your task, get the command

Whether you’re a developer, sysadmin, or casual user, just describe what you want to do in natural language — we’ll return a valid command instantly.

Whether you're working in Linux, macOS, or Windows, we support multiple shell environments.

Git, Azure, LINQ, SQL and other tools are supported.

ps create an empty file named log.txt

New-Item -ItemType File -Name "log.txt"

git squash last 3 commits into one

git rebase -i HEAD~3

pd load items.csv file into a DataFrame

df = pd.read_csv("items.csv")

sql get total sales per region from orders

SELECT region, SUM(sales) FROM orders GROUP BY region

Manage your Azure resources from the command line with quick and scriptable CLI commands.

Input: List all Azure resource groups
Command: az group list --output table
Input: Create a new storage account
Command: az storage account create --name mystorage --resource-group myrg --location eastus
Input: Deploy an ARM template
Command: az deployment group create --resource-group myrg --template-file template.json

Use PowerShell for system automation, file operations, and scripting in Windows environments.

Input: Create an empty file named log.txt
Command: New-Item -ItemType File -Name "log.txt"
Input: List all running processes
Command: Get-Process
Input: Delete all .tmp files recursively
Command: Get-ChildItem -Recurse -Filter *.tmp | Remove-Item

Use Git commands to manage source code, collaborate, and resolve common repo tasks.

Input: Undo last commit but keep changes
Command: git reset --soft HEAD~1
Input: List all local and remote branches
Command: git branch -a
Input: Squash last 3 commits into one
Command: git rebase -i HEAD~3

Use simple descriptions to generate useful Pandas data operations for Python scripts.

Input: Load a CSV file into a DataFrame
Command: df = pd.read_csv("data.csv")
Input: Get rows where column 'age' > 30
Command: df[df["age"] > 30]
Input: Group by 'category' and get mean
Command: df.groupby("category").mean()

Get help writing expressive LINQ queries using natural language instructions.

Input: Filter users with age > 18
Command: users.Where(u => u.Age > 18)
Input: Sort products by price descending
Command: products.OrderByDescending(p => p.Price)
Input: Group employees by department
Command: employees.GroupBy(e => e.Department)

Write complex SQL queries by just describing what you want to retrieve, join, or filter.

Input: Select name and email from users
Command: SELECT name, email FROM users;
Input: Get total sales per region
Command: SELECT region, SUM(sales) FROM orders GROUP BY region;
Input: Inner join customers and orders
Command: SELECT * FROM customers c JOIN orders o ON c.id = o.customer_id;