Whisper AI
OpenAI / openai.com
Open-source AI speech recognition model by OpenAI that transcribes and translates audio in 99 languages with high accuracy.
Pricing
Free
Free plan
Yes
Category
Transcription AI
Platforms
3
Rating
4.8 (3200)
Free plan
Yes
API access
Yes
Open source
Yes
Platforms
3
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What is Whisper AI?
Whisper is OpenAI's open-source automatic speech recognition (ASR) model trained on 680,000 hours of multilingual audio. It transcribes and translates audio in 99 languages with near-human accuracy for most use cases. Widely used as the foundation for transcription services, meeting assistants, podcast tools, and accessibility applications. Available via OpenAI API or self-hosted.
How Whisper AI works
Whisper AI runs as asr and nlp software built around audio and text workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web, api, and python, with API access for teams that want to embed it into their own products.
What makes it worth shortlisting
The capabilities that matter most for teams evaluating Whisper AI.
99-language transcription and translation
Practical for developers, researchers, and businesses wanting accurate speech-to-text that can be self-hosted or used via api. without extra setup.
Near-human accuracy for most use cases
Practical for developers, researchers, and businesses wanting accurate speech-to-text that can be self-hosted or used via api. without extra setup.
Open-source self-hosting option
Practical for developers, researchers, and businesses wanting accurate speech-to-text that can be self-hosted or used via api. without extra setup.
Available via OpenAI API ($0.006/min)
Practical for developers, researchers, and businesses wanting accurate speech-to-text that can be self-hosted or used via api. without extra setup.
Foundation for many transcription services
Practical for developers, researchers, and businesses wanting accurate speech-to-text that can be self-hosted or used via api. without extra setup.
Robust to accents and background noise
Practical for developers, researchers, and businesses wanting accurate speech-to-text that can be self-hosted or used via api. without extra setup.
Best use cases
Who should use it
Pros
- Open-source with full data control option
- Near-human accuracy in most conditions
- 99 languages
- $0.006/min very affordable via API
- Foundation of most AI transcription services
Cons
- Slower than real-time without GPU
- Speaker diarization requires extra steps
- Privacy concerns with OpenAI API usage
- No native real-time streaming
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Is it worth the price?
API from $0.006/minute via OpenAI API; open-source free to self-host; many third-party implementations
Model
Pay-as-you-go
Starting price
Free
Free trial
No
Tools like Whisper AI
AssemblyAI (real-time, speaker diarization)|Deepgram (real-time, enterprise)|Rev AI (enterprise, human review)|Otter.ai (meeting-focused)|Otter.ai for Healthcare (HIPAA)
Whisper AI vs AssemblyAI
A side-by-side look at the closest alternative in this category.
Whisper AI
OpenAI
AssemblyAI
AssemblyAI
API from $0.006/minute via OpenAI API; open-source free to self-host; many third-party implementations
Free $50 credit; pay-per-minute from $0.37/hr async; real-time from $0.42/hr; Enterprise custom
Developers, researchers, and businesses wanting accurate speech-to-text that can be self-hosted or used via API.
Developers and businesses building transcription and audio intelligence features needing real-time accuracy and advanced features.
API: data used per OpenAI policy; self-hosted: full data control; GDPR DPA for API
HIPAA BAA available; GDPR DPA; data deletion API; SOC 2 Type II
- Open-source with full data control option
- Near-human accuracy in most conditions
- 99 languages
- $0.006/min very affordable via API
- Foundation of most AI transcription services
- Best-in-class real-time transcription accuracy
- Speaker diarization excellent
- Lemur LLM for audio intelligence unique
- HIPAA compliant
- PII redaction built-in
- 100,000+ developer validation
- Slower than real-time without GPU
- Speaker diarization requires extra steps
- Privacy concerns with OpenAI API usage
- No native real-time streaming
- More expensive than Whisper self-hosted
- API-only (no consumer product)
- Some advanced features on higher plans
- Less known than Google or Microsoft STT
Technical & deployment info
Key facts about model providers, platforms, and team support.
Model Provider
OpenAI
Models
Whisper Large V3
Platforms
Web, API, Python
Deployment
Cloud, Self-Hosted
Integrations
LangChain, HuggingFace, Replicate, AssemblyAI, Deepgram, FFmpeg
Team Collaboration
No
Launch Year
2022
Security & privacy
Compliance signals and data-handling notes as reported by the vendor.
API: data used per OpenAI policy; self-hosted: full data control; GDPR DPA for API
What users are saying
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Common questions about Whisper AI
Editorial Verdict
Should you use Whisper AI?
Whisper is the most important AI transcription model — its open-source nature and near-human accuracy have made it the foundation of the AI transcription industry, and it is the best baseline for developers building transcription features.
Last verified July 1, 2025.