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Description
MacWhisper allows users to efficiently convert audio content into written text by harnessing OpenAI's Whisper technology. Users have the option to record audio directly from their microphone or any compatible input device on their Mac, or they can simply drag and drop audio files for precise transcription. It is capable of capturing meetings from various platforms, including Zoom, Teams, Webex, Skype, Chime, and Discord, while ensuring that all transcription is processed locally to maintain user privacy. Transcripts generated can be saved or exported in several formats, such as .srt, .vtt, .csv, .docx, .pdf, markdown, and HTML. MacWhisper is known for its rapid transcription capabilities, supporting over 100 languages, and features like transcript searching, synchronized audio playback, removal of filler words, and the ability to add speaker labels. The Pro version further extends its offerings with features like batch transcription, the ability to transcribe YouTube videos, integrations with AI services such as OpenAI's ChatGPT and Anthropic's Claude, as well as system-wide dictation and translation options for audio files into different languages. This makes MacWhisper an exceptional tool not just for individuals but also for professionals who require versatile transcription solutions.
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.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
ChatGPT
Chime
Cisco Webex
Claude
DeepL
Deepgram
GPT-4
GPT-4o
Google Sheets
Groq
Integrations
ChatGPT
Chime
Cisco Webex
Claude
DeepL
Deepgram
GPT-4
GPT-4o
Google Sheets
Groq
Pricing Details
€59 one-time payment
Free Trial
Free Version
Pricing Details
$32 one-time
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
Gumroad
Country
United States
Website
goodsnooze.gumroad.com/l/macwhisper
Vendor Details
Company Name
Mojosoft Co., Ltd.
Founded
1998
Country
Japan
Website
mojosoftjp.github.io/rocketwhisper/en/
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