Whisper by OpenAI

A neural net for speech recognition

5.0•31 reviews•

636 followers

A neural net for speech recognition

5.0•31 reviews•

636 followers

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AI Voice Agents

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Text-to-Speech Software

Whisper is an automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data collected from the web.

Wispr Flow: Dictation That Works Everywhere — Stop typing. Start speaking. 4x faster.

Stop typing. Start speaking. 4x faster.

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Whisper by OpenAI Launches

GPT-4.1 in the APIAnnouncing GPT-4.1, GPT-4.1 mini, & GPT-4.1 nano in the API

Launched on April 15th, 2025

Whisper by OpenAIA neural net for speech recognition

Launched on September 23rd, 2022

Company Info

openai.com/blog/whisper

Whisper by OpenAI Info

Launched in 2022

View 2 launches

Forum

p/whisper-by-openai-1

Awards

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Based on 31 reviews

Review Whisper by OpenAI?

Reviewers see Whisper as unusually strong speech-to-text: one user says it feels like a major leap over older dictation tools and now uses voice typing for much of the day. The main complaint is limited client support, especially on Android. Founder feedback is sparse but consistent: makers of tools like Ghost Pepper 🌶️, MS AUTO CAPTIONS, and Cut/Storm say Whisper is accurate, offers useful model-size options, and delivers a strong speed-quality tradeoff for transcription and subtitles.

+28

Summarized with AI

Pros

accurate speech-to-text conversion (6)

AI transcription (5)

on-device processing (4)

fast performance (2)

open source (2)

Pros

Cons

Reviews

All Reviews

Most Informative

•9 reviews

Whisper has been one of the few AI technologies that has been totally life-changing. When I tried out Whisper for the first time, it had probably been a decade since I first experimented with speech-to-text software and expected that not much would have improved. Qualitatively it's such a leap over what came before it that it almost feels like a different product class. My only criticism of Whisper is that there isn't a greater variety of clients supporting it, especially in the realm of Android tools. Since discovering it, I've adopted just about every whisper technology that I can and spent most of my day voice typing now.

What's great

accurate speech-to-text conversion (6)

What needs improvement

limited client support (1)

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89 views1yr ago

used Whisper by OpenAI to build Thoth

•4 reviews

Whisper runs entirely on-device using Apple's CoreML/Neural Engine. It's open-source, works offline, and delivers excellent accuracy across 99 languages without sending data to cloud servers. Perfect for Thoth's privacy-first philosophy.

Alternatives Considered

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2 views4d ago

used Whisper by OpenAI to build Harker

•5 reviews

OpenAI's Whisper model powers Harker's speech recognition. It's incredibly accurate across 50+ languages and works perfectly offline, which was essential for Harker's privacy-first approach.

What's great

on-device processing (4)offline functionality (1)accurate speech-to-text conversion (6)multilingual capabilities (1)privacy-first approach (1)

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88 views11mo ago