codeitlikemiley/screenrecorder — explained in plain English
Analysis updated 2026-07-19 · repo last pushed 2026-03-17
Record a workflow and export a step-by-step checklist for your team.
Capture a bug reproduction with voiceover and export it as a formatted GitHub issue.
Create onboarding tutorials by recording your screen and letting AI write the instructions.
Document internal processes without manually formatting screenshots and text.
| codeitlikemiley/screenrecorder | abdullahselek/swiftpusher | bones7456/notchy | |
|---|---|---|---|
| Stars | 3 | 3 | 3 |
| Language | Swift | Swift | Swift |
| Last pushed | 2026-03-17 | 2026-06-24 | — |
| Maintenance | Maintained | Active | — |
| Setup difficulty | hard | moderate | easy |
| Complexity | 4/5 | 2/5 | 2/5 |
| Audience | pm founder | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires macOS, an API key for an AI provider (OpenAI, Anthropic, or Google Gemini), and grants screen recording, webcam, and accessibility permissions.
Screen Recorder is a native macOS tool that watches you perform a task on your computer and then automatically writes up step-by-step documentation for it. Instead of manually typing out instructions or taking screenshots to explain a process or report a bug, you simply record your screen, speak into your microphone, and let the app generate a polished guide. It lives quietly in your Mac's menu bar and uses customizable keyboard shortcuts so you can start and stop recordings from anywhere. At its core, the app records high-quality video of your screen, webcam, and audio while tracking your keystrokes. Once you finish a recording, it extracts key screenshots and sends them to an AI service of your choice, like OpenAI, Anthropic, or Google Gemini, to analyze what you did. The AI then produces a structured, editable workflow document that pairs your actions with the relevant screenshots. The README doesn't go into deep technical detail on the underlying AI mechanics, but the result is a visual, step-by-step breakdown of your recording that you can review and tweak. This tool is ideal for anyone who frequently creates tutorials, onboarding materials, or bug reports. A project manager could use it to record a new workflow and instantly export a checklist for their team. A software tester reproducing a tricky bug could record the exact steps, complete with a voiceover explaining what went wrong, and export the whole thing as a formatted GitHub issue. A founder could use it to document internal processes without spending hours formatting screenshots and writing text. Beyond documentation, the project includes a feature called "Computer Control" that lets the AI interact directly with your Mac. It can programmatically click, type, and launch apps, effectively allowing an AI assistant to automate tasks on your screen. Notably, the project includes safety guardrails for this, such as a kill switch and rate limiting, to keep the automated actions from running wild.
A macOS menu bar app that records your screen, webcam, and audio while you perform a task, then uses AI to automatically generate step-by-step documentation with screenshots from the recording.
Mainly Swift. The stack also includes Swift, macOS, OpenAI API.
Maintained — commit in last 6 months (last push 2026-03-17).
No license information is provided in the README, so usage rights are unclear.
Setup difficulty is rated hard, with roughly 1h+ to a first successful run.
Mainly pm founder.
This repo across BitVibe Labs
Verify against the repo before relying on details.