OpenAI Whisper
Free planThe standard for open-source speech recognition and subtitling
An open-source speech recognition model released by OpenAI that supports multilingual speech-to-text, subtitle generation, and translation. It recognizes more than 90 languages, including Korean.
vs. similar tools: Released under the MIT license with open model weights, so you can self-host it locally for free.
Overview
At a glance
- MIT-licensed with open weights, so self-hosting is free
- Recognizes 99 languages including Korean, with 91 accuracy
- An API and rich ecosystem make integration easy
- You set up and run it yourself, so ease of use scores just 70
- No real-time processing and no voice cloning
- Best for: Developers and on-premise setups where cost and data control matter
Read more
OpenAI Whisper is an open-source speech recognition model released by OpenAI that supports multilingual speech-to-text, subtitle generation, and translation. It recognizes 99 languages including Korean, and it fits developers and on-premise teams who want to control their own environment rather than depend on a cloud service.
The biggest strength is openness. Released under the MIT license with open model weights, it can be self-hosted locally for free, so you can run transcription without sending data outside. The value-for-money metric reaches 97 and accuracy is high at 91, while the ecosystem-and-integration mark of 92 makes it easy to slot into many tools. An API is also available, so connecting it to an automation pipeline is straightforward. Holding the model in your own hands and controlling cost and data is this tool's essential value.
The limit is that it takes effort. Since you install and operate it yourself, ease of use sits at just 70, a higher barrier than a ready-made service you can start using immediately. It supports neither real-time processing nor voice cloning.
In short, Whisper fits developers and self-hosted setups that want to cut costs and control their own data. If you instead want an effortless transcription service that works with no setup, a different tool will feel more convenient.
Pricing
| Plan | Monthly price | Limits |
|---|---|---|
| Open source | $0/mo | MIT license, free self-hosting |
Specs
- Languages
- 99
- Voice cloning
- Not supported
- Real-time
- Not supported
- API
- Yes
- Open source
- Yes
- Self-hosting
- Available
- Korean support
- Input/output only
- Commercial use
- Allowed
Popularity
Buzz and recognition on absolute thresholds
Absolute-threshold score
80
High confidence6/6 signals
Each axis maps to a 1-10 absolute threshold where 10 means broadly recognizable. Collected: 2026-06-16.
Verified public benchmark: 100K+ GitHub stars for OpenAI Whisper open-source speech recognition (as of 2026-06-16) Source
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Compare OpenAI Whisper
Last updated: 2026-05-30
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