transformers
by huggingface🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
In simple words: openscreen is a program you download and use on your computer, for turning voice and audio into written text. It is completely free and open source — its code is public on GitHub, where 6,581 people have bookmarked it as worth using.
💡 A real-life example: You record a one-hour interview, give the audio to a tool like this, and get the whole conversation as written text you can search and copy.
RepoEasy wrote this simple explanation from the project's public data — its category, topics and description — so a beginner can understand it before downloading anything. For exact technical details, the project's own README (linked below) is the final word.
Record your screen, ship a demo. Free and open-source, GPU-accelerated, no watermarks, no subscriptions. Windows, macOS, Linux. Actively maintained.
This is the project's own description from GitHub — we show it as-is rather than inventing details.
This project is listed under Speech-to-Text in Artificial Intelligence, a category made for creators, businesses, students and developers who want to use AI without getting lost in research papers.
Do I need coding knowledge? Coding Knowledge Recommended. (Estimate based on project type: A developer tool/library — setup usually follows the README with basic coding skills. Always confirm from the repo's README.)
The source code is released under the MIT license. Open-source licenses like this usually allow free use, including commercial use — but always read the actual license file in the repository before relying on it. Note: the code being free does not mean hosted services, APIs or infrastructure around it are free.
Activity level: Very active · Last code update: 07 Nov 2026 · Created: 14 Mar 2026 · Open issues: 70
Official links: Official Website ↗ · Releases ↗ · Documentation (README) ↗
We never publish installation steps we have not verified — the README above is the source of truth.
⭐ 6581 stars · 🍴 436 forks · 🐛 70 open issues · 💻 Language: TypeScript · 📄 License: MIT · Default branch: main
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
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