Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Google Cloud Speech-to-Text Reviews & Ratings
    373 Ratings
    Company Website
  • QEval Reviews & Ratings
    30 Ratings
    Company Website
  • Fathom Reviews & Ratings
    7,148 Ratings
    Company Website
  • Windsurf Editor Reviews & Ratings
    156 Ratings
    Company Website
  • imgproxy Reviews & Ratings
    15 Ratings
    Company Website
  • Thinfinity Workspace Reviews & Ratings
    14 Ratings
    Company Website
  • Comet Backup Reviews & Ratings
    216 Ratings
    Company Website
  • DreamClass Reviews & Ratings
    92 Ratings
    Company Website
  • Datasite Diligence Virtual Data Room Reviews & Ratings
    611 Ratings
    Company Website
  • Bucketlist Rewards Reviews & Ratings
    1,443 Ratings
    Company Website

What is Whisper?

We are excited to announce the launch of Whisper, an open-source neural network that delivers accuracy and robustness in English speech recognition that rivals that of human abilities. This automatic speech recognition (ASR) system has been meticulously trained using a vast dataset of 680,000 hours of multilingual and multitask supervised data sourced from the internet. Our findings indicate that employing such a rich and diverse dataset greatly enhances the system's performance in adapting to various accents, background noise, and specialized jargon. Moreover, Whisper not only supports transcription in multiple languages but also offers translation capabilities into English from those languages. To facilitate the development of real-world applications and to encourage ongoing research in the domain of effective speech processing, we are providing access to both the models and the inference code. The Whisper architecture is designed with a simple end-to-end approach, leveraging an encoder-decoder Transformer framework. The input audio is segmented into 30-second intervals, which are then converted into log-Mel spectrograms before entering the encoder. By democratizing access to this technology, we aspire to inspire new advancements in the realm of speech recognition and its applications across different industries. Our commitment to open-source principles ensures that developers worldwide can collaboratively enhance and refine these tools for future innovations.

What is Note67?

Note67 is a cutting-edge meeting assistant that emphasizes user privacy, specifically designed for professionals who demand complete control over their data. Unlike traditional transcription services that rely on cloud infrastructures, Note67 functions as an open-source, local-first application tailored for macOS, allowing users to record audio, transcribe conversations, and generate insightful summaries right on their devices. This method ensures that audio files and text data remain solely within your system, significantly reducing the chances of data breaches. Built with a focus on security and performance, the application employs Rust and Tauri to deliver a seamless, native experience. It features sophisticated local AI capabilities, utilizing Whisper for accurate speech recognition and Ollama for creating detailed meeting summaries through the power of local Large Language Models (LLMs). Key Features: 100% Local Processing: With the on-device Whisper models, your audio recordings and transcripts stay completely private, providing reassurance during confidential meetings. Moreover, the intuitive interface of Note67 allows professionals to easily navigate and make the most of its robust functionalities, fostering greater productivity and collaboration. As a result, users can engage in discussions with the confidence that their information is secure.

Media

Media

No images available

Integrations Supported

AI Sparks Studio
AnotherWrapper
Azure AI Speech
Hyprnote
MacWhisper
Monster API
Nekton.ai
OpenAI
Pruna AI
SheepScript.ai
Shownotes
Snippets AI
Tila
TurboScribe
Utterly Voice
VESSL AI
Waveloom
Whisper Notes
brancher.ai

Integrations Supported

AI Sparks Studio
AnotherWrapper
Azure AI Speech
Hyprnote
MacWhisper
Monster API
Nekton.ai
OpenAI
Pruna AI
SheepScript.ai
Shownotes
Snippets AI
Tila
TurboScribe
Utterly Voice
VESSL AI
Waveloom
Whisper Notes
brancher.ai

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Company Location

United States

Company Website

openai.com/blog/whisper/

Company Facts

Organization Name

Note67

Date Founded

2025

Company Location

Singapore

Company Website

note67.com

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

Popular Alternatives

Popular Alternatives

QuickWhisper Reviews & Ratings

QuickWhisper

IWT Pty Ltd
Transcribe Reviews & Ratings

Transcribe

Wreally