design

Typewhisper-mac: Private Speech-to-Text

Name: Typewhisper-mac: Private Speech-to-Text
Author: TypeWhisper

Get private on-device transcription with typewhisper-mac, for founders, with 1.3k+ GitHub stars

intermediate⏱ Varies💵 Free (self-hosted)

1,617 stars116 forksSwiftHealth Score 9/10Updated 7/22/2026100% free · open source

What it is

Dictates text on your Mac, while keeping your data private, using speech-to-text on-device AI.

What you can make with it

Create apps and scripts that understand voice commands, like a personal assistant or a voice-controlled calculator.

How it helps

With typewhisper-mac, you can use voice as a user input, making your apps more accessible and user-friendly, while also keeping your data secure.

Real use case example

"A developer is building a voice-controlled Pomodoro timer for Mac users. They start by installing typewhisper-mac, then use Swift to create a GUI with SwiftUI. Next, they set up the speech-to-text functionality, allowing users to start and stop the timer using voice commands. The outcome is a user-friendly app that's easy to use and offers a fun way to stay productive."

If you're new

Pick this up if you're new to building voice-controlled apps and want to start with a simple, local solution.

If you're senior

Senior engineers will reach for this skill when they need a reliable, on-device speech-to-text solution for secure and private applications.

Common confusion cleared up

Don't confuse typewhisper-mac with other speech-to-text solutions that may rely on cloud services for processing, as it's specifically designed to work on-device for optimal privacy.

Best inside these AI tools

Claude DesktopClaude Code

Pairs with

Claude APIStripe webhookNotion database

Why we list it on WorkflowStacks: This skill is here because it's the only local speech-to-text solution for macOS, offering both on-device privacy and optional cloud syncing.

What it does

Typewhisper-mac provides on-device speech-to-text transcription for macOS, ensuring fully private and optional cloud connectivity for founders

Install / run

git clone https://github.com/TypeWhisper/typewhisper-mac.git && cd typewhisper-mac

When to use it

•When needing to transcribe audio or video files locally without uploading to cloud services
•For founders requiring private and secure speech-to-text functionality on their macOS devices
•When developing applications that necessitate local speech recognition capabilities

Quick start

1Open the cloned repository in Xcode by running 'open Typewhisper.xcworkspace'
2Build and run the application by clicking 'Product' > 'Run' or using the shortcut 'Cmd + R'
3Configure the application settings by editing the 'typewhisper_mac.Configuration.plist' file
4Test the speech-to-text functionality by clicking the 'Start Listening' button and speaking into the microphone
5Review the transcription results in the application's text output field

Ready-to-paste prompt

Say 'Hello, this is a test of the typewhisper-mac speech-to-text functionality' to see the transcription in action

Heads up: Ensure you have Xcode installed and configured on your macOS device, as typewhisper-mac is built using Swift and requires Xcode to build and run

Saves to your device