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Open Interview

English | 简体中文

See a question on your screen, press a shortcut, get the answer next to it.

Open Interview is a free, open-source assistant for interviews, written tests and study: capture what's on your screen and send it to an AI model — the answer streams into a small always-on-top window, so you never switch windows, copy-paste, or interrupt what you're working on.

Works on macOS (Apple Silicon) and Windows 10/11.


What it's good for

  • Online tests / assessments — questions live in a web page or a desktop client, longer than one screen is fine
  • Technical interviews — think along while listening; quickly walk through an approach or a complexity analysis
  • Problem sets & papers — stuck on a problem statement, formula or code fragment, get an explanation instantly
  • English exams — reading comprehension, cloze, translation, with answers and explanations

Features

Screenshot → answer

  • One shortcut captures the current screen; a vision model answers with tokens streaming in as they are generated
  • Follow-up captures continue the same conversation, so context is never lost
  • Editable scenario prompts ("Solve an algorithm problem", "English exam", "General Q&A", …) — switch from the header dropdown or Alt+S
  • The answer stays where you put it instead of auto-scrolling; one-click copy for code blocks; three font sizes
  • Full-page capture: when the questions live in one long web page, the built-in exam Chrome captures the entire page in a single native render (not stitched screenshots)

Local voice transcription

  • Powered by whisper.cpp — the engine is installed on first use via Homebrew (macOS) or winget (Windows), no build toolchain needed
  • Model downloaded once with one click, fully offline afterwards; several model sizes, Chinese and English supported
  • Streaming as you speak: a resident engine plus a sliding window — text settles at speech pauses, and the uncommitted tail is previewed in a lighter color in real time; auto-commit at pauses can be toggled and tuned
  • Captures system audio directly (e.g. the interviewer's voice) — no virtual audio driver required

Privacy & window control

  • Privacy mode: the window is invisible to screen sharing/recording, the Dock/taskbar icon is hidden, and screenshots are not written to disk (in-app preview still works)
  • Compact teleprompter mode: a small window with just the answer and the transcription row, resizable, with the full toolbar still available
  • Hover toolbar: dwell to trigger; wraps to two rows when the window narrows; per-button visibility
  • Always-on-top translucent window; position and size are remembered; opacity adjustable via shortcuts

Models & configuration

  • 12 built-in provider presets (OpenAI, SiliconFlow, DeepSeek, Moonshot, Zhipu, Alibaba Cloud Bailian, OpenRouter, Gemini, Claude, Ollama, LM Studio, custom), each with its own base URL, key and model; switch with one click
  • Reasoning effort for all models: reasoning_effort for OpenAI-style APIs, native thinking fields for DeepSeek / Qwen / Zhipu
  • API keys are encrypted via system secure storage (Electron safeStorage) — never in plaintext on disk
  • Model lists fetched automatically or entered manually; one-click connection test; shortcut conflicts are flagged in settings
  • Optional screenshot saving to a local folder; UI in English and Chinese

Download & install

Grab a build from GitHub Releases:

Platform File
macOS (Apple Silicon) open-interview-0.1.0.dmg or open-interview-0.1.0-arm64-mac.zip
Windows 10/11 open-interview-0.1.0-setup.exe

Unsigned builds. Release artifacts are not code-signed or notarized:

  • macOS (Apple Silicon): macOS may report the app as damaged or from an unidentified developer. Try right-click → Open once; if it still says "damaged", run xattr -cr "/Applications/Open Interview.app" in Terminal and open again.
  • Windows: SmartScreen will show "Windows protected your PC" — click More info → Run anyway.

First use:

  1. Open Settings, fill in the API Base URL and API Key, pick a model

  2. (Optional) In Voice transcription, click one-click setup: installs the recognition engine (macOS via Homebrew — install Homebrew first; Windows via winget, falling back to the official prebuilt zip) and downloads a model; fully offline afterwards

  3. When running from source, you can preconfigure defaults with a .env file in the project root:

    API_BASE_URL="https://openrouter.ai/api/v1"
    API_KEY="sk-..."
    MODEL="gpt-5-mini"

Default shortcuts

Action macOS Windows
Screenshot & solve (new session) Alt+Enter Ctrl+Enter
Follow-up screenshot Alt+Shift+Enter Ctrl+Shift+Enter
Stop generation Alt+. Ctrl+.
Follow-up question Alt+F Ctrl+F
Voice transcription on/off + commit Alt+T Ctrl+T
Clear transcription text Alt+Shift+T Ctrl+Shift+T
Switch prompt scenario Alt+S Ctrl+S
Hide/show window Alt+H Ctrl+H
Mouse passthrough Alt+M Ctrl+M
Mini/compact panel Alt+L Ctrl+L
Opacity up/down Cmd+] / Cmd+[ Ctrl+] / Ctrl+[
Page up/down Cmd+J / Cmd+K Ctrl+J / Ctrl+K
Move window Cmd+arrows Ctrl+arrows

All shortcuts are remappable in Settings, including mouse side buttons.


Building from source

Requires Node.js (22+ recommended).

npm install          # install dependencies
npm run dev          # dev mode
npm run build:mac    # build the macOS bundle
npm run build:win    # build the Windows installer
npm run test         # unit tests
npm run typecheck    # type checks
npm run lint         # ESLint

See CONTRIBUTING.md for the full contribution guide.


A note on the stealth capability

The stealth features work with most mainstream meeting apps (e.g. Tencent Meeting), but a few apps and browsers may not be hidden. Test with your own setup before relying on it — this project takes no responsibility.

Boundaries:

  • The app asks the OS to exclude its own window from screen capture and keeps re-asserting that property; this only defends against software that reads the screen through normal capture APIs — OS-level screen recorders and kernel-level keyloggers are outside any application's defensive reach
  • Suggested self-check: start a screen/tab share in Tencent Meeting or a browser tab and see whether this window shows up on the other side
  • API keys are stored encrypted in the system keychain and never hit disk in plaintext; voice recognition runs entirely on-device — audio is handed to the local whisper process in memory, never saved or uploaded

Disclaimer

  1. Use at your own risk. This tool is for personal learning and technical research only. Do not use it in any scenario that violates exam rules, laws, or platform terms of service; you bear all consequences of using it.
  2. No guarantee of effectiveness. Stealth behavior and recognition accuracy depend on third-party software and AI models; this project provides no warranty, express or implied.
  3. AI output is for reference only. Generated solutions can be wrong — verify the important conclusions yourself.

License

This project is released under the MIT License.


Acknowledgements

This project started from ooboqoo's open-source project interview-coder-cn — thanks to the original author for the pioneering work.

About

Screenshot a question, press a shortcut, get a streaming AI answer in a floating always-on-top window. Offline voice transcription (whisper.cpp), stealth mode. Built with Electron.

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