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Whisper
See Whisper in Action
About Whisper
What Is OpenAI Whisper?
Whisper is a general-purpose speech recognition model developed by OpenAI. It is an automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data collected from the web. In 2026, the Whisper large-v3-turbo model is the industry standard for high-speed, human-level transcription, capable of identifying languages and translating speech into English in real-time.
Where You Can Use It
Whisper is incredibly versatile. It is primarily used by developers on their Desktop via Python for local, private transcription. It is also available as a cloud-hosted API, allowing its intelligence to be integrated into Web and Mobile applications. Its capabilities are also built into ChatGPT, powering the advanced voice and transcription features used by millions of people across mobile and web platforms.
What It’s Known For
Whisper is best known for its extreme accuracy and its ability to understand speech through heavy background noise or thick accents. It is highly regarded for its Multilingual Support, covering over 98 languages with ease. In the content creation and research communities, it is the go-to engine for Podcasting transcriptions and automated subtitling, while developers value it for its open-source “Zero-Shot” performance that requires no custom training to produce professional results.
Features
AI API access lets developers integrate AI into apps, products, and workflows, enabling automation at scale.
AI integrations connect AI tools with existing platforms to streamline workflows and automation.
AI multilingual support enables tools to understand and generate content in multiple languages.
AI speech-to-text tools convert spoken audio into accurate written transcripts.
Use Cases
Content creation AI tools help:
- generate ideas and creative concepts
- produce written, visual, and audio content faster
- stay consistent across platforms and formats
- reduce time spent on repetitive creation tasks
These tools help creators focus more on creativity and growth instead of manual production.
Development AI tools help:
- write, debug, and refactor code faster
- understand existing codebases more easily
- automate repetitive development tasks
- improve productivity across the development lifecycle
These tools help teams build, test, and ship software more efficiently.
Education AI tools help:
- personalize learning experiences
- support teaching and lesson planning
- automate grading and assessments
- improve engagement and learning outcomes
These tools help educators and learners save time and improve educational results.
Podcasting AI tools help:
- record, edit, and enhance audio faster
- generate transcripts and show notes
- improve audio quality and clarity
- streamline podcast production workflows
These tools help podcasters produce high-quality episodes with less manual effort.
Research AI tools help:
- analyze large volumes of information
- summarize papers and key findings
- discover patterns and insights faster
- reduce time spent on manual research
These tools help researchers work more efficiently and focus on analysis instead of data gathering.
Startups AI tools help:
- build and validate products faster
- automate operations with small teams
- support data-driven decisions
- scale workflows efficiently
These tools help startups move faster and compete with limited resources.
Pricing
Features:
- Large-v3 Model: The standard API uses the latest stable version of Whisper Large.
- Format Support: Generates .json, .srt, .vtt, and .txt files.
- Word-Level Timestamps: Now included at no extra cost in the standard $0.006 rate.
- Language Support: Robust transcription and translation for 99+ languages.
- File Limit: 25MB standard; larger files must be chunked or streamed.
Features:
- Direct Audio Input: Unlike Whisper (which converts audio to text first), GPT-5-audio “listens” to the audio directly to understand tone, sarcasm, and background noise.
- Mini Variant: GPT-5-mini-audio costs significantly less ($0.60 per 1M tokens) and is ideal for quick, high-volume transcription.
- Translation & Reasoning: Best for tasks like “Listen to this interview and summarize the speaker’s emotional state.”
Features:
- Ultra-Low Latency: Designed for voice assistants and real-time agents.
- Token Math: Audio tokens are roughly $0.06 per minute for input and $0.12 per minute for output—much more expensive than Whisper because it’s handling live interaction.
- Mini Realtime: Available at $10.00 / $20.00 per 1M tokens for budget-sensitive live apps.
Pricing information is provided for reference only and may change.
For the most up-to-date pricing, please visit the
official website
.
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