Click, Speak, Type: A Windows Dictation MVP (Offline, Vosk)

Anthony Erazo — Sat, 14 Feb 2026 04:51:31 +0000

This is a submission for the GitHub Copilot CLI Challenge

What I Built

I built Windows Voice Dictation Tool 🎙️🖱️⌨️ — a lightweight dictation app for Windows that converts speech to text and types it directly into any active application.

The idea is simple: instead of being limited to one editor, you can click anywhere (Notepad, Word, browser text boxes, chats, IDEs) and dictate as if your voice were the keyboard.

It runs offline using Vosk, so after the first setup there are no accounts, no API keys, and no data sent to servers. Privacy-friendly by design

Key features I implemented:

Universal text input: types into the focused app (Notepad, Word, web, chat, etc.)
Global hotkey: CTRL + ALT + D to start/stop dictation from anywhere
Real-time transcription
GUI settings (Tkinter): enable/disable, choose language/model
Model manager: detects installed models and can auto-download a default model
Multi-language (English + Spanish) when models are installed
System tray for quick status/controls

Repo: AnthonyErazo/Voice-Dictation

Demo

Short demo (3 minutes)

This is the fast walkthrough showing the app working end-to-end.

Watch the 3-min demo

Full walkthrough (28 minutes)

If you want the complete build process (planning, prompts, iterations, debugging, and final run), here is the full recording.

Watch the full 28-min walkthrough

Screenshot

Here’s the app running: GUI settings + live dictation into a document ✨

(If you open the video you’ll see the full flow end-to-end.)

My Experience with GitHub Copilot CLI

I used GitHub Copilot CLI as my “terminal teammate” to build this MVP quickly and iteratively.

What Copilot CLI helped me with:

Scaffolding the Python project structure (modules, responsibilities, clean separation)
Implementing the dictation loop (audio capture, recognition, text injection)
Designing the GUI logic (Tkinter settings + model/language selection)
Adding the model detection/download behavior so the app is usable on first run
Debugging issues and refining edge cases (hotkey behavior, freezing UI, model switching)

I kept the development prompts/notes in the repository as well:

Prompts log: prompts.md

Quick note on accuracy

Vosk accuracy depends a lot on the chosen model (small vs medium vs large) and your microphone/noise.

This MVP is a solid baseline and can later be improved by swapping engines or integrating more advanced local models.

Terminal Tutor - an interactive Git CLI coach built with GitHub Copilot CLI

Anthony Erazo — Sat, 14 Feb 2026 04:33:20 +0000

This is a submission for the GitHub Copilot CLI Challenge

What I Built

I built Terminal Tutor, an interactive command line tutor that teaches Git basics through hands-on practice.

Instead of showing theory, Terminal Tutor gives you a sequence of goals (initialize a repo, create a file, stage it, commit it, create a branch, etc.). You type real Git commands and the app validates the actual state of the filesystem and Git repository after each step.

A key focus of this MVP is cross-platform reliability. On Windows, the filesystem is often case-insensitive, while Git tracks exact filename casing. That mismatch can confuse beginners (for example, creating readme.md when the lesson expects README.md). Terminal Tutor detects these cases, tolerates them, and guides the user without blocking progress.

Repo: Terminal Tutor on GitHub

Demo

Video walkthrough

Watch the video on Vimeo

Screenshots (app in action)

Below are screenshots of the tutor running (not only build logs).

Tutor running a Git lesson (step view)

Validation feedback after staging and committing

My Experience with GitHub Copilot CLI

I used GitHub Copilot CLI as my terminal pair programmer across the whole build.

How Copilot CLI helped:

Project scaffolding: generate the initial Node.js + TypeScript CLI structure and wire up Commander + interactive prompts.
Debugging and iteration: when validation failed on Windows (Git output parsing and filename casing edge cases), I described the failure and Copilot proposed fixes plus verification commands. I applied changes, rebuilt, and re-tested until the lesson flow was stable.
Improving UX: Copilot helped refine error messages, hints, and step feedback so the tutor is clearer for beginners.

I also kept a short prompt log inside the repo and show Copilot CLI usage directly in the video.

Forem: Anthony Erazo

Click, Speak, Type: A Windows Dictation MVP (Offline, Vosk)

What I Built

Demo

Short demo (3 minutes)

Full walkthrough (28 minutes)

Screenshot

My Experience with GitHub Copilot CLI

Quick note on accuracy

Terminal Tutor - an interactive Git CLI coach built with GitHub Copilot CLI

What I Built

Demo

Video walkthrough

Screenshots (app in action)

My Experience with GitHub Copilot CLI