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Description
RocketWhisper is an advanced speech recognition and transcription tool designed for desktop use, operating entirely offline to ensure that your voice data remains securely on your device. With a commitment to complete privacy, your information never exits your computer.
Utilizing the Whisper engine from OpenAI and enhanced by NVIDIA GPU (CUDA) acceleration, RocketWhisper provides swift and precise speech-to-text transformation, catering to professionals, content creators, and anyone engaged in voice and text tasks.
Highlighted Features:
- Fully offline functionality ensures your voice data stays on your device
- High-precision speech recognition powered by the OpenAI Whisper engine
- Dramatic speed improvements with NVIDIA CUDA GPU acceleration, achieving speeds up to ten times faster than traditional CPU processing
- Instantaneous voice-to-text capabilities accessible via a global hotkey (Push-to-Talk using Right Alt)
- Ability to transcribe multiple audio and video files in various formats (MP3, WAV, M4A, MP4, MKV, AVI, etc.) in batch mode
- Exporting subtitles in SRT/VTT formats for seamless integration with video content
- Enhanced AI text formatting options through integration with various LLMs (OpenAI, Anthropic, Google Gemini, Grok, and local LLMs), allowing for a versatile editing experience.
In summary, RocketWhisper not only prioritizes user privacy but also delivers cutting-edge performance and functionality for all your speech processing needs.
Description
Skippr is a real-time AI assistant that can see, communicate, and interact with software to facilitate the onboarding, activation, and support of users instantly. It integrates seamlessly with a product through just two lines of code, providing each user with a voice agent that responds to inquiries contextually, offers tailored walkthroughs, and performs tasks without necessitating any major system overhauls or data migrations. By continuously scanning the application and its knowledge database, Skippr ensures that its information is always up-to-date, remaining aligned with the latest product developments. During interactive voice and screen sessions, it customizes its approach based on the user's specific needs and objectives, instead of offering a one-size-fits-all experience. With its Click-for-you feature, it can take the reins on the pointer to fill out forms or navigate multi-screen tasks while keeping the user engaged in the process. Additionally, its direct API and MCP integrations enable it to execute functions more swiftly than traditional UI-only agents. Teams have the flexibility to set up various communication methods, such as push-to-talk, voice-only interactions, in-app messaging, guided tutorials, spontaneous support, and on-screen annotations, enhancing overall user engagement and support efficiency. This adaptability makes Skippr an invaluable tool for improving user experiences and increasing operational productivity.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Model Context Protocol (MCP)
Skippr Mentor
Pricing Details
$32 one-time
Free Trial
Free Version
Pricing Details
$149 per month
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
Mojosoft Co., Ltd.
Founded
1998
Country
Japan
Website
mojosoftjp.github.io/rocketwhisper/en/
Vendor Details
Company Name
Skippr
Founded
2023
Country
United Kingdom
Website
www.skippr.ai/
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