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Average Ratings 0 Ratings
Description
GPT-Realtime-1.5 is an advanced real-time voice model from OpenAI designed to power interactive audio-based applications such as voice agents and customer support systems. It supports multimodal inputs, including text, audio, and images, and produces both text and audio outputs for dynamic conversations. The model is optimized for speed, delivering fast and responsive interactions that feel natural in live environments. With a 32,000-token context window, it can manage long conversations while maintaining continuity and context. It is particularly suited for applications that require real-time communication, such as call centers and virtual assistants. The model includes support for function calling, enabling seamless integration with external tools and APIs. It is accessible through multiple endpoints, including realtime, chat completions, and responses APIs. Pricing is based on token usage, with separate rates for text, audio, and image processing. The model is designed for scalability, supporting high request volumes depending on usage tiers. Overall, it enables developers to build fast, reliable, and scalable voice-driven applications.
Description
Whisper is a powerful speech-to-text model created by OpenAI to deliver accurate and reliable audio transcription. It is trained on a large dataset of 680,000 hours of multilingual audio, making it highly robust across different languages and environments. The model performs multiple tasks, including transcription, translation, and language detection within a single system. Whisper uses a Transformer-based encoder-decoder architecture to process audio converted into log-Mel spectrograms. It can generate phrase-level timestamps and handle noisy or complex audio inputs effectively. Unlike many specialized models, Whisper is designed for strong zero-shot performance across diverse datasets. It supports multilingual transcription and can translate speech from various languages into English. The model is open-sourced, allowing developers and researchers to build and customize applications بسهولة. Its flexibility makes it suitable for use cases like voice assistants, transcription services, and accessibility tools. Overall, Whisper provides a scalable and versatile foundation for speech processing applications.
API Access
Has API
API Access
Has API
Integrations
OpenAI
Baseten
Blink
Hyprnote
Krater.ai
LazyTyper
MacWhisper
Monster API
NoteVocal
Pruna AI
Integrations
OpenAI
Baseten
Blink
Hyprnote
Krater.ai
LazyTyper
MacWhisper
Monster API
NoteVocal
Pruna AI
Pricing Details
$4.00 per 1M tokens (input)
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
OpenAI
Founded
2015
Country
United States
Website
openai.com
Vendor Details
Company Name
OpenAI
Founded
2015
Country
United States
Website
openai.com/index/whisper/
Product Features
Product 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