I built WhisperPad because I needed it. In the fall of 2024 the joints in my fingers started to hurt when I typed. Maybe the bill came due for spending most of my life on a keyboard: a childhood of video games, then 10 years working in tech. It got worse throughout the winter, and by early 2025, I could not type for sustained stretches without triggering an unsustainable level of pain. It was a progressive injury, so there was no single dramatic moment; just a slow narrowing of how much I could do in a day.
That narrowing arrived at an inconvenient time. I was between jobs and trying to decide what came next, and I had landed on applying to a master's program in human-computer interaction. My biggest fear about it was not whether I could keep up mentally. It was whether my hands would let me produce the work fast enough to keep pace.
What WhisperPad does (or did, anyway)
WhisperPad lives in your menu bar. You press a keyboard shortcut, you talk, it transcribes what you said locally on your Mac, and it places the text into whatever field your cursor is in. Nothing is sent to a server. If you have clicked away by the time it finishes, the text is on your clipboard and you can paste it wherever you want. That is the whole app. The point was to make getting words out of my head and into the computer cost as few hand movements as possible.
The window indicator that appears while you're dictating.
In April, Apple rejected an update to my Mac dictation app, WhisperPad, under Guideline 2.4.5. Their position was that I was using the accessibility API in a way that wasn't an accessibility use. The app exists because I have a hand injury. Apple had approved earlier versions doing the same thing. This time they did not.
I had used Apple's built-in dictation first, and the experience was a particular kind of frustrating. The transcription was close but rarely right, and every correction meant going back in with the keyboard, deleting, retyping. I was hurting my hands to fix the tool that was supposed to be saving them. That is the specific problem I wanted to solve: not "transcribe my voice," but "transcribe my voice well enough that I am not constantly typing corrections."
I will be honest about how I approached this. I did not do much market research. There were probably good tools out there already, but most sent your audio to a server somewhere, and I wanted one that didn't. When I want something, my first question is usually "can I just build it," not "what can I buy."
The first version was rough, but I used it every day and kept improving it. I shared it with a couple of classmates and watched them fold it into their own daily workflows. Seeing other people quietly come to rely on it made me want to release it properly.
The rejection
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