Whisper by OpenAI – Open-Source AI Speech Recognition in 99 Languages

Whisper is OpenAI's open-source speech recognition system supporting 99 languages with near-human accuracy. Free to self-host or use via API at $0.006/minute.

Best for
Audio Transcription
Key capability
99-Language Support
Screenshot of OpenAI Whisper speech recognition system documentation and API interface

What is Whisper AI?

Whisper is an open-source automatic speech recognition (ASR) system developed by OpenAI, released in September 2022. Trained on 680,000 hours of multilingual audio data, Whisper achieves near-human accuracy on English transcription and supports 99 languages. Available as a free Python library, via the OpenAI API at $0.006/minute, and as the foundation of many commercial transcription services.

Whisper is the gold standard for open-source speech recognition. Its multilingual capability, robustness to accents and background noise, and near-human accuracy make it the foundation many commercial transcription services are built on. For developers needing reliable free transcription in any language, Whisper is unmatched. Non-technical users are better served by consumer apps built on top of Whisper like Otter.ai.

Screenshot of OpenAI Whisper speech recognition system documentation and API interface

Key features of Whisper AI

Whisper’s key strengths are its 99-language support, robustness to accents and background noise, and accuracy on diverse audio types. Five model sizes (tiny to large) offer a speed-accuracy tradeoff. The model performs speech recognition, language detection, and translation simultaneously. Fully open source under MIT license.

99-Language Support

Transcribe and translate audio in 99 languages with strong multilingual performance.

Near-Human Accuracy

Achieves near-human word error rates on English including technical vocabulary.

Multiple Model Sizes

Choose from five sizes from tiny (fast) to large (most accurate).

Open Source & Free

Fully open source under MIT license — run locally at zero cost.

Language Detection

Automatically detects spoken language from audio without manual configuration.

OpenAI API

Use via OpenAI API at $0.006/minute for scalable production deployments.

Pros and cons of Whisper AI

Pros

  • Near-human accuracy on English transcription
  • Supports 99 languages with strong multilingual performance
  • Fully open source and free for self-hosted use
  • Robust to accents, background noise, and technical vocabulary
  • Foundation used by many leading commercial transcription tools

Cons

  • Requires technical setup for self-hosting (Python, FFmpeg)
  • Slower than real-time for the largest most accurate model
  • No built-in UI — developers only for direct use
  • Real-time transcription requires additional engineering

Key use cases for Whisper AI

Audio Transcription

Transcribe interviews, lectures, recordings, and audio files into accurate text.

Video Subtitling

Generate subtitles and captions for videos in 99 languages.

Meeting Notes

Automatically transcribe meeting recordings to searchable shareable notes.

Multilingual Transcription

Process multilingual audio with automatic language detection.

Podcast Transcription

Convert podcast episodes into blog posts, show notes, or searchable archives.

Developer Integration

Build custom transcription apps and voice-enabled features using the Whisper model.

How Whisper AI works

  1. 1

    Install Whisper

    Install via: pip install openai-whisper (requires Python and FFmpeg).

  2. 2

    Prepare Audio File

    Prepare audio in MP3, MP4, WAV, or most standard formats.

  3. 3

    Run Transcription

    Run: whisper audio.mp3 –model large for best accuracy.

  4. 4

    Receive Output

    Receive plain text transcript with optional timestamps and language detection.

  5. 5

    Deploy via API

    Use OpenAI Whisper API at $0.006/minute for production deployments without self-hosting.

Who is using Whisper AI

Software developers and engineers
Researchers and academics
Podcast producers and content creators
Journalists and interview transcribers
Enterprises building custom transcription pipelines

Whisper AI pricing

Open Source (Free)

$0

Free self-hosted Python library — run locally on your own hardware.

OpenAI API

$0.006/minute

Pay-per-use API for production deployments without managing infrastructure.

Plans and prices are as published by the vendor and can change. Check the official site before you buy. Open the pricing page (opens in a new tab)

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Frequently asked questions about Whisper AI

Fully open source and free locally. API costs $0.006/minute.

~3–5% word error rate on English, comparable to human accuracy.

pip install openai-whisper then run from command line.

99 languages for transcription and English translation.

Comparable or better for multilingual accuracy, and free locally.

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