How to Use Plain Language to Generate Terminal Commands on Mac
The terminal is one of the most powerful tools on your Mac, but it comes with a steep learning curve. Hundreds of commands, each with dozens of flags and options, and a syntax that varies between tools. What if you could just describe what you want in plain English and get the right command instantly? With AI-powered natural language to terminal translation, you can.
The Problem with Terminal Syntax
Every developer and power user has experienced this: you know exactly what you want to do, but you cannot remember the right command or the right flags. You want to find all files modified in the last week, but was it -mtime or -mmin? You want to search for a string across all Python files, but do you use grep -r, grep -R, or find | xargs grep?
The result is a familiar workflow: leave the terminal, open a browser, search for the command, scroll through Stack Overflow answers, copy-paste the command back into the terminal, and hope you adapted it correctly for your situation. This context switching is a productivity killer. Studies estimate that it takes an average of 23 minutes to fully refocus after a context switch, and even a quick search disrupts your flow.
The problem is not that terminal commands are bad. They are incredibly powerful and precise. The problem is that remembering exact syntax across hundreds of tools is an unreasonable burden on human memory, especially for commands you use infrequently.
Natural Language to Shell Commands
The idea is simple: instead of memorizing syntax, you describe what you want to accomplish in plain English, and AI translates your description into the correct terminal command. This is not a hypothetical future technology. It works today, and it works well.
Here are some examples of natural language descriptions and the commands they produce:
You say: "list all files modified in the last week"
find . -type f -mtime -7
You say: "find all Python files containing the word config"
grep -r "config" --include="*.py" .
You say: "show disk usage sorted by size, human readable"
du -sh * | sort -hr
You say: "compress the logs folder into a tar gzip file"
tar -czf logs.tar.gz logs/
You say: "kill the process running on port 3000"
lsof -ti:3000 | xargs kill -9
You say: "show me the 10 largest files in this directory recursively"
find . -type f -exec du -h {} + | sort -rh | head -10
You say: "rename all .jpeg files to .jpg"
for f in *.jpeg; do mv "$f" "${f%.jpeg}.jpg"; done
You say: "list all open network connections"
lsof -i -P -n
Notice that these are not trivial commands. Many involve piping, flags that are easy to forget, or syntax that differs between macOS and Linux. Natural language input eliminates the need to remember any of it.
How VoxyAI Handles Terminal Commands
VoxyAI has built-in support for natural language terminal commands, and the way it works is seamless. When Terminal (or iTerm2, or any terminal emulator) is your active application, VoxyAI automatically detects the context and switches to command generation mode. You do not need to toggle a setting or use a special prefix.
Here is the workflow:
- Focus your terminal window so it is the active application.
- Trigger VoxyAI with the keyboard shortcut (fn + shift).
- Describe what you want in plain English. For example: "find all JavaScript files larger than 1 megabyte."
- Release the shortcut. VoxyAI generates the command and pastes it directly into your terminal.
The command is pasted but not executed. This is an important safety feature. You always see the generated command before it runs, giving you the opportunity to review it, modify it, or cancel. VoxyAI never runs commands on your behalf without your explicit confirmation (pressing Enter).
Because VoxyAI uses AI to generate commands, it understands context and nuance. You can say "delete all node_modules folders recursively" and it generates the right find + rm combination. You can say "show git commits from the last 3 days by author jane" and it constructs the correct git log with --since and --author flags. The AI handles the translation from your intent to the precise syntax.
Common Use Cases
Natural language terminal commands are useful across a wide range of scenarios. Here are the categories where this approach saves the most time.
File Operations
Finding, moving, copying, and transforming files are some of the most common terminal tasks, and some of the most syntax-heavy. Commands like find, xargs, rsync, and chmod each have their own flag conventions that are easy to mix up.
- "Find all PDF files larger than 10 megabytes"
- "Copy all images from Downloads to the Photos folder"
- "Make all shell scripts in this directory executable"
- "Delete all .DS_Store files recursively"
- "Count the number of lines in all Swift files"
Git Operations
Git has hundreds of commands and thousands of flag combinations. Even experienced developers regularly search for the right incantation. Natural language makes complex git operations accessible.
- "Show all commits that changed the README file"
- "Undo the last commit but keep the changes"
- "List all branches merged into main"
- "Show the diff between this branch and main, just file names"
- "Stash my changes with a message saying work in progress"
System Administration
Checking system resources, managing processes, and inspecting network connections involve commands that most people use infrequently enough to forget the syntax between uses.
- "Show which process is using the most memory"
- "Check if port 8080 is in use"
- "Show my current IP address"
- "List all running Docker containers"
- "Show disk space usage by directory"
Text Processing
Tools like awk, sed, cut, and jq are enormously powerful but have notoriously cryptic syntax. This is where natural language shines brightest, because these commands are almost impossible to write from memory for infrequent users.
- "Extract the second column from a CSV file"
- "Replace all occurrences of http with https in every HTML file"
- "Get the value of the name field from this JSON file"
- "Count how many times each word appears in this file and sort by frequency"
- "Remove blank lines from output.txt"
Voice vs Typing for Command Generation
VoxyAI supports both voice input and typed input (via fn + ctrl). For terminal command generation, both approaches work well, but there are practical reasons to prefer each one.
Voice input is ideal when your description is conversational and would take longer to type than to say. "Show me all the files that were changed in the last git commit, but only the ones in the src directory" flows naturally as speech but is tedious to type. Voice also keeps your hands free for reviewing and editing the generated command.
Typed input works better in quiet environments like open offices, meetings, or late-night sessions. It is also faster for very short descriptions like "list ports in use" where the overhead of triggering voice recording is not worth it.
The generated command is the same regardless of input method. VoxyAI processes your natural language description identically whether it came from voice or text.
Privacy and Security Considerations
Terminal commands often involve sensitive context: file paths, server addresses, project names, and sometimes credentials. When using AI to generate commands, it is important to understand where your description is processed.
VoxyAI supports fully local AI processing through Ollama and Apple Intelligence. When using either of these providers, your natural language description never leaves your Mac. The AI model runs on your hardware, generates the command locally, and no data is transmitted anywhere. This makes it safe to describe operations involving sensitive paths, internal server names, or proprietary project structures.
If you use a cloud AI provider (OpenAI, Anthropic, etc.), your description is sent to their API for processing. VoxyAI's built-in secrets scanner checks your input before it is sent and blocks anything that looks like an API key, token, or credential. However, for maximum security in sensitive environments, using a local AI provider is recommended.
Tips for Better Results
Getting the best commands from natural language input comes down to how you describe what you want. Here are practical tips:
- Be specific about scope. "Find large files" is vague. "Find files larger than 100 megabytes in the home directory" gives the AI enough detail to generate the right command with the right flags.
- Mention the tool if you have a preference. If you want
ripgrepinstead ofgrep, say so. "Use ripgrep to search for TODO comments in all Rust files." - Specify output format when it matters. "Show disk usage, human readable, sorted by size" is more useful than just "show disk usage."
- Describe the end state, not the steps. Instead of "first find the PID of the process on port 3000 then kill it," just say "kill the process on port 3000." The AI handles the pipeline.
- Use natural units. Say "last week," "bigger than 50 megabytes," or "older than 30 days." The AI converts these to the right flag values (
-mtime -7,-size +50M,-mtime +30).
Getting Started
To start using natural language terminal commands with VoxyAI:
- Install VoxyAI and configure an AI provider. For free local processing, install Ollama and pull a model.
- Open Terminal (or iTerm2, Warp, or any terminal emulator).
- Press fn + shift and describe what you want. Or press fn + ctrl to type your description instead.
- Review the generated command that VoxyAI pastes into your terminal.
- Press Enter to execute, or edit it first.
There is no configuration needed for terminal mode. VoxyAI detects that Terminal is your active app and automatically formats its output as a shell command instead of prose. You can start using it immediately, and you will quickly find that the commands you used to search for are now generated in seconds.
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