VS Code records 7,397,370 monthly visits with -3.8% month-over-month growth and Freemium pricing. Whisper (OpenAI) records 0 monthly visits with — growth and Free pricing.
Write code with precision, hand bigger jobs to agents, and keep working from anywhere
OpenAI's open-source speech recognition model for transcription, translation and language ID
| Dimension / Metric | | |
|---|---|---|
| Official Domain | code.visualstudio.com | github.com |
| Pricing Model | Freemium | Free |
| Monthly Visits | 7.4M (7,397,370) | 0 (0) |
| MoM Traffic Delta | -288.8K (-3.8%) | 0 (—) |
| Primary Market & Share | 🇺🇸 United States (18.9%) | 🌐 Global (—) |
| Direct Visits / mo | 2.17M | 0 |
| User Rating | 4.8 | 4.8 |
| Supported Platforms | Website | Open Source |
Write code with precision, hand bigger jobs to agents, and keep working from anywhere
Agents open the repository, form a plan, edit multiple files and explain the changes so you can review each diff before accepting it. You can also run several agents in parallel to push a backlog forward.
Point the editor at Anthropic, OpenAI, Google, Microsoft or open-weight models, or bring your own key. Pick the Copilot, Claude or Codex harness that matches how you like to work.
JavaScript, TypeScript, HTML and CSS work out of the box, and Marketplace extensions add IntelliSense, linting, refactoring and debuggers for Python, Java, C++, Go, Rust and more.
Integrated terminal, source control, debugger, testing, Jupyter notebooks, an integrated browser and Dev Containers all live in one window, so you stay close to the code.
OpenAI's open-source speech recognition model for transcription, translation and language ID
One Transformer handles transcription, speech translation into English, language identification and voice activity detection, selected through special task tokens.
Choose from tiny, base, small, medium, large and turbo checkpoints, with English-only .en variants, to balance accuracy against VRAM and speed.
Multilingual checkpoints transcribe and translate dozens of languages, with automatic language detection on mixed-language audio.
Install via pip with openai-whisper and transcribe files from the terminal or from your own Python code, with ffmpeg handling audio decoding.
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