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What is OpenAI Whisper?

Whisper is an advanced automatic speech recognition (ASR) model developed by OpenAI to convert spoken audio into text with high accuracy. It is trained on an extensive dataset of 680,000 hours of multilingual and multitask audio collected from the web. This large and diverse dataset allows Whisper to perform well across various accents, noisy environments, and technical vocabulary. The model supports multiple capabilities, including speech transcription, language identification, and translation into English. It uses an encoder-decoder Transformer architecture, where audio is processed as log-Mel spectrograms before generating text outputs. Whisper can also produce phrase-level timestamps, making it useful for applications requiring precise audio alignment. Unlike many traditional ASR systems, Whisper is optimized for strong zero-shot performance across different datasets. It demonstrates significantly fewer errors in diverse real-world scenarios compared to specialized models. The model’s multilingual training enables it to handle both English and non-English audio effectively. Developers can integrate Whisper into applications such as voice interfaces, transcription tools, and accessibility solutions. Its open-source availability encourages innovation and customization across industries. Overall, Whisper serves as a robust and flexible foundation for building modern speech-enabled technologies.

What is GPT‑Realtime‑Whisper?

OpenAI's GPT-Realtime-Whisper represents a groundbreaking advancement in streaming transcription technology, aimed at providing rapid speech-to-text functionalities for live scenarios. This model captures spoken words in real-time, enhancing the experience of voice-enabled applications by making them feel swifter, more interactive, and fluid, whether through immediate captioning or by creating notes that correspond with current conversations. By facilitating live speech integration into business workflows, it empowers teams to produce captions suitable for various contexts such as meetings, educational settings, broadcasts, and events, while also generating summaries and notes during discussions. Furthermore, it contributes to the development of voice agents that need to continuously understand user inputs, thereby streamlining follow-up processes in interactions characterized by extensive verbal exchanges. As an integral component of a state-of-the-art suite of real-time voice models within the API, it not only transcribes but also engages in reasoning and translation during conversations, elevating real-time audio interactions from simple exchanges to advanced voice interfaces that can listen, interpret, transcribe, and dynamically respond as dialogues unfold. This significant technological progress is poised to revolutionize our engagement with voice-driven systems, enhancing their intuitiveness and effectiveness in managing live communication, ultimately leading to more productive and seamless interactions. The potential applications of this technology are vast, promising improvements across various industries and enhancing user experiences across different platforms.

Media

Media

Integrations Supported

OpenAI
Baseten
Blink
Fuser
GPT‑Realtime‑Whisper
Krater.ai
Kuku
LastMile AI
Monster API
PyGPT
SheepScript.ai
Simplismart
Snippets AI
Thinkbuddy
TurboScribe
Unremot
VESSL AI
Waveloom
Zo Computer
brancher.ai

Integrations Supported

OpenAI
Baseten
Blink
Fuser
GPT‑Realtime‑Whisper
Krater.ai
Kuku
LastMile AI
Monster API
PyGPT
SheepScript.ai
Simplismart
Snippets AI
Thinkbuddy
TurboScribe
Unremot
VESSL AI
Waveloom
Zo Computer
brancher.ai

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.017 per minute
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

OpenAI

Date Founded

2015

Company Location

United States

Company Website

openai.com/index/whisper/

Company Facts

Organization Name

OpenAI

Date Founded

2015

Company Location

United States

Company Website

openai.com/index/advancing-voice-intelligence-with-new-models-in-the-api/

Categories and Features

Speech Recognition

Audio Capture
Automatic Form Fill
Automatic Transcription
Call Analysis
Concatenated Speech
Continuous Speech
Customizable Macros
Multi-Languages
Specialty Vocabularies
Speech-to-Text Analysis
Variable Frequency
Voice Recognition

Transcription

AI / Machine Learning
Annotations
Audio/Video File Upload
Automatic Transcription
Collaboration Tools
File Sharing
For Manual Transcription
Full Text Search
Multi-Language Support
Natural Language Processing (NLP)
Playback Controls
Speech Recognition
Subtitles
Text Editor
Timecoding

Categories and Features

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