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Average Ratings 0 Ratings

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ease
features
design
support

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Description

ThunderPhone is an advanced voice AI platform designed to effectively manage real-world phone conversations with exceptional precision, robust adherence to instructions, and fluid dialogue. By integrating various transcripts with direct audio-to-LLM input, it significantly reduces the chances of errors arising from addresses, spellings, accents, background noise, and unclear speech. Users can make and receive calls, execute large-scale outbound campaigns with pacing and retries, and operate seamlessly through traditional telephony or within websites and applications, all while supporting over 40 languages, accommodating accents, mixed-language scenarios, and even switching languages mid-conversation. The system adeptly handles interruptions, backchannels, cross-talk, voicemail, screeners, keypad inputs, warm and cold transfers, and transitions to human agents without losing context. Additionally, agents benefit from built-in retrieval capabilities to access information from uploaded documents, while live supervision features allow operators to monitor calls and provide real-time assistance to the AI, ensuring that conversations are both effective and well-managed. This comprehensive approach enhances communication efficiency, making ThunderPhone a versatile tool for businesses aiming to improve their customer interactions.

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

Screenshots View All

Screenshots View All

Integrations

AI Sparks Studio
AnotherWrapper
Azure AI Speech
Bolna
Fuser
GPT‑Realtime‑Whisper
Handy
Hyprnote
LastMile AI
LazyTyper
OpenAI
Pruna AI
PyGPT
Spark NLP
TurboScribe
Utterly Voice
VESSL AI
Vocode
Zo Computer
brancher.ai

Integrations

AI Sparks Studio
AnotherWrapper
Azure AI Speech
Bolna
Fuser
GPT‑Realtime‑Whisper
Handy
Hyprnote
LastMile AI
LazyTyper
OpenAI
Pruna AI
PyGPT
Spark NLP
TurboScribe
Utterly Voice
VESSL AI
Vocode
Zo Computer
brancher.ai

Pricing Details

2¢ per minute
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

ThunderPhone

Country

United States

Website

thunderphone.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

Alternatives

Alternatives

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