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Whisper (OpenAI)

OpenAI's open-source speech-to-text — 99 languages, offline, free

Audio / Speech MIT Local Beginner

Stats

GitHub stars★ 75k+
LicenseMIT
HostingLocal
DifficultyBeginner

Get started

Official docs and GitHub repo

Visit Whisper (OpenAI) ↗ View on GitHub ↗

What is Whisper (OpenAI)?

Whisper is OpenAI's state-of-the-art speech recognition model released as open source. It transcribes audio in 99 languages with impressive accuracy — including Hindi, Tamil, Telugu, and other Indian languages. Runs locally, free, private. The foundation of dozens of transcription apps.

Quick start

1
pip install openai-whisper
2
whisper audio.mp3 --language Hindi
3

Or for faster local: pip install faster-whisper

4

Python: model = whisper.load_model("base"); model.transcribe("file.mp3")

Use cases

Meeting transcription

Podcast to text

Voice note transcription

Subtitle generation

Hindi/regional language STT

Compatible models

Tiny (fastest)BaseSmallMediumLarge-v3 (most accurate)

Why this matters for India

// india context

Transcribe meetings, lectures, and interviews in Hindi and other Indian languages — offline and private. Huge use case for Indian education and legal sectors.