Awesome Whisper Apps

A curated collection of applications, tools, and resources built with OpenAI Whisper - a robust automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data.

Table of Contents

• Quick Start Guide

• Popular Picks

• Getting Started

• By Use Case

• By Platform

• For Developers

• Resources

Quick Start Guide

Looking for something specific?

• Voice typing on Linux? → Linux System Integration or try nerd-dictation

• Voice typing on Mac? → macOS Apps or try SuperWhisper

• Voice typing on Windows? → Windows Apps or try WinWhisper

• Cross-platform desktop app? → Try Buzz or whisper-writer

• Generate video subtitles? → Subtitles & Captioning

• Real-time transcription? → Real-Time & Streaming

• Meeting transcription? → Meeting & Productivity

• Cloud/SaaS solution? → SaaS Platforms

• Self-hosted web interface? → Web UI

• Mobile app? → Android or iOS

• Developer integration? → Libraries & APIs or Model Variants

Popular Picks

Top projects by community engagement and activity:

Desktop Applications

• Buzz — Cross-platform · · Feature-rich desktop transcription app

• whisper-writer — Cross-platform · · Voice-to-text for system-wide input

• SuperWhisper — macOS · N/A · Premium Mac app for voice-to-text

• WinWhisper — Windows · · System-wide hotkey support for Windows

Model Variants & Performance

• whisper.cpp — · High-performance C/C++ implementation

• faster-whisper — · Faster implementation using CTranslate2

• WhisperX — · Word-level timestamps + speaker diarization

• insanely-fast-whisper — · Speed-optimized implementation

Developer Tools

• WhisperLive — · Real-time transcription server

• whisper_streaming — · Long-form streaming transcription

• Whisper-WebUI — · Self-hosted web interface

Getting Started

Official Whisper & Models

Official Repository: openai/whisper

Hugging Face Collection: Whisper Model Release

Official Paper: Robust Speech Recognition via Large-Scale Weak Supervision

Official Model Sizes

Choose based on your accuracy/speed requirements:

• tiny — 39M · ✓ · ✓ · Fastest · Minimal resource usage, real-time apps

• base — 74M · ✓ · ✓ · Very Fast · Resource-constrained environments

• small — 244M · ✓ · ✓ · Fast · Good balance for most use cases

• medium — 769M · ✓ · ✓ · Moderate · Better accuracy, moderate speed

• large — 1550M · ✓ · Slower · Best accuracy, research use

By Use Case

Voice Typing & Dictation

Cross-Platform:

• Buzz - Feature-rich desktop app

• whisper-writer - System-wide voice-to-text

• whisper-dictation - Dictation application

Linux:

• nerd-dictation - Hackable offline speech-to-text

• BlahST - Linux speech-to-text integration

• whisper-to-input - Convert transcription to keyboard input

• voice-typing-linux - Voice typing integration

macOS:

• SuperWhisper - Premium Mac voice-to-text app

• OpenSuperWhisper - Open-source Mac app

• WhisperKit - Native macOS implementation

Windows:

• WinWhisper - System-wide hotkey support

• Whisper Typing for Windows - Desktop voice typing

Mobile:

• whisperIME (Android) - Input method editor

• Whisperboard (iOS) - Keyboard with Whisper

SaaS Platforms & Cloud Services

• Whisper Transcribe - Online transcription platform

• WhisperAI - Cloud-based transcription service

• Whisper Typing - Online typing and transcription

• Wisprflow - Workflow automation with transcription

• CleverType - Smart typing assistant

• SpeechPulse - Cross-platform speech-to-text

• Blabby.ai - Browser-based transcription

Subtitles & Captioning

Generate subtitles and captions for videos:

• [auto-subs](https://github.com/tmoroney/auto-subs) - Automatic subtitle generation

• [TeroSubtitler](https://github.com/URUWorks/TeroSubtitler) - Professional subtitle editor

• [whisper-youtube](https://github.com/ArthurFDLR/whisper-youtube) - YouTube subtitle generation

• [yt-whisper](https://github.com/m1guelpf/yt-whisper) - YouTube transcription tool

• [whisper-subs](https://github.com/GhostNaN/whisper-subs) - CLI for adding subtitles to videos

• [whisply](https://github.com/tsmdt/whisply) - Automatic subtitle generation (Linux)

• [template-tiktok](https://github.com/remotion-dev/template-tiktok) - TikTok-style captioning with Remotion

Meeting & Productivity

Tools for transcribing meetings and generating notes:

• [meeting-minutes](https://github.com/Zackriya-Solutions/meeting-minutes) - Generate meeting minutes

• [ScribeWizard](https://github.com/Bklieger/ScribeWizard) - AI-powered note-taking

Web Interfaces

Self-Hosted:

• [Whisper-WebUI](https://github.com/jhj0517/Whisper-WebUI) - Web interface for transcription

• [NeuroSandboxWebUI](https://github.com/Dartvauder/NeuroSandboxWebUI) - Comprehensive web UI for AI models

By Platform

Cross-Platform Desktop Applications

Applications that work on Linux, macOS, and Windows:

• Buzz — · Feature-rich transcription app

• whisper-writer — · Voice-to-text application

• faster-whisper-GUI — · GUI for faster-whisper

• SoftWhisper — · User-friendly GUI

• speech-assistant — · Speech assistant GUI

• whisper-dictation — · Dictation application

• whisper-realtime-gui — · Real-time transcription GUI

• whisper-ui — · Cross-platform desktop UI

• whisper_dictation — · Voice dictation tool

• WhisperGUI — · Simple GUI

Linux

Desktop Applications

• [froshine](https://github.com/AdrianScott/froshine) - Linux desktop app

• [speak-to-ai](https://github.com/AshBuk/speak-to-ai) - Voice interaction app

• [Whisper-Notepad-For-Linux](https://github.com/danielrosehill/Whisper-Notepad-For-Linux) - Notepad-style transcription

• [WhisperNow](https://github.com/shinglyu/WhisperNow) - Desktop application

CLI Tools

• [whisper.cpp-cli](https://github.com/charliermarsh/whisper.cpp-cli) - CLI for whisper.cpp

• [blurt](https://github.com/QuantiusBenignus/blurt) - Command-line transcription tool

System Integration

• [nerd-dictation](https://github.com/ideasman42/nerd-dictation) - Hackable offline STT (VOSK-API)

• [BlahST](https://github.com/QuantiusBenignus/BlahST) - Speech-to-text integration

• [Linux-Dictation-Project](https://github.com/wheeler01/Linux-Dictation-Project) - Dictation system

• [linux-stt-input](https://github.com/fengwk/linux-stt-input) - STT input method

• [linux-voice-to-text-ai](https://github.com/trebormc/linux-voice-to-text-ai) - Voice-to-text AI

• [LinuxWhisper](https://github.com/vitali87/LinuxWhisper) - Linux implementation

• [voice-typing-linux](https://github.com/GitJuhb/voice-typing-linux) - Voice typing integration

• [Whisper-Dictation](https://github.com/LumenYoung/Whisper-Dictation) - Dictation system

• [whisper-flow-linux](https://github.com/sapountzis/whisper-flow-linux) - Workflow integration

• [whisper-hotkey-linux](https://github.com/atkvishnu/whisper-hotkey-linux) - Hotkey-based integration

• [whispertrigger](https://github.com/RetroTrigger/whispertrigger) - System integration

• [whisprd](https://github.com/AgenticToaster/whisprd) - Whisper daemon

• [whisper-to-input](https://github.com/j3soon/whisper-to-input) - Transcription to keyboard input

• [whispy](https://github.com/daaku/whispy) - Integration tool

• [dicti](https://github.com/tksimson/dicti) - Dictation tool

• [sonori](https://github.com/0xPD33/sonori) - Voice input system

• [hushnote](https://github.com/peteonrails/hushnote) - Private note-taking

• [Local-Voice](https://github.com/shashank2122/Local-Voice) - Local voice processing

• [s2t](https://github.com/franchesoni/s2t) - Speech-to-text

• [Whisper-Notepad-Simple](https://github.com/danielrosehill/Whisper-Notepad-Simple) - Simple notepad app

• [Linux-AI-Assistant-scripts](https://github.com/samoylenkodmitry/Linux-AI-Assistant-scripts) - AI assistant scripts

macOS

Desktop Applications

• [SuperWhisper](https://superwhisper.com/) - Premium Mac voice-to-text app

• [OpenSuperWhisper](https://github.com/Starmel/OpenSuperWhisper) - Open-source Mac app

• [WhisperKit](https://github.com/argmaxinc/WhisperKit) - Native macOS implementation

• [Careless Whisper](https://carelesswhisper.app/) - Lightweight transcription app

System Integration

• [ollama-voice-mac](https://github.com/apeatling/ollama-voice-mac) - Voice interface for Ollama

• [whisperanywhere-js](https://github.com/unclecode/whisperanywhere-js) - System-wide transcription

Windows

Desktop Applications

• [AI Transcription](https://apps.microsoft.com/detail/9p7f1j2svk3g) - Microsoft Store app

• [Whisper Typing for Windows](https://whispertyping.com/download) - Desktop voice typing

System Integration

• [WinWhisper](https://github.com/GewoonJaap/WinWhisper) - System-wide hotkey support

Android

• [whisperIME](https://github.com/woheller69/whisperIME) - Input method editor

• [WhisperInput](https://github.com/alex-vt/WhisperInput) - Input app

• [WhisperKitAndroid](https://github.com/argmaxinc/WhisperKitAndroid) - WhisperKit for Android

• [RTranslator](https://github.com/niedev/RTranslator) - Real-time translation app

• [Dictate](https://github.com/DevEmperor/Dictate) - Voice dictation app

• [whisper_android](https://github.com/vilassn/whisper_android) - Android integration

iOS

• [Whisperboard](https://github.com/Saik0s/Whisperboard) - iOS keyboard with Whisper integration

Embedded / Raspberry Pi

• [Local-Voice](https://github.com/shashank2122/Local-Voice) - Local voice processing for embedded systems

For Developers

Model Variants & Performance Optimizations

Enhanced and optimized versions of Whisper:

• whisper.cpp — · High-performance C/C++ implementation

• faster-whisper — · 4x faster using CTranslate2

• insanely-fast-whisper — · Speed-optimized implementation

• WhisperX — · Word-level timestamps + diarization

• distil-whisper — · Distilled models from HuggingFace

• CrisperWhisper — · Enhanced accuracy variant

• whisper.net — · .NET implementation

• whisper-turbo — · High-performance implementation

Real-Time & Streaming

For live transcription and streaming audio:

• [WhisperLive](https://github.com/collabora/WhisperLive) - Real-time transcription server

• [whisper_streaming](https://github.com/ufal/whisper_streaming) - Long-form streaming transcription

• [whisper_real_time](https://github.com/davabase/whisper_real_time) - Real-time implementation

• [whisper-flow](https://github.com/dimastatz/whisper-flow) - Real-time flow

Diarization & Advanced Features

Speaker diarization and word-level timestamps:

• [whisper-diarization](https://github.com/MahmoudAshraf97/whisper-diarization) - Speaker diarization

• [whisper-timestamped](https://github.com/linto-ai/whisper-timestamped) - Word-level timestamps

• [pyannote-whisper](https://github.com/yinruiqing/pyannote-whisper) - Pyannote integration

• [cog-whisper-diarization](https://github.com/thomasmol/cog-whisper-diarization) - Cog-wrapped diarization

• [WhisperTimeSync](https://github.com/EtienneAb3d/WhisperTimeSync) - Time sync & diarization

Fine-Tuning

Tools for customizing Whisper models:

• [Whisper-Finetune](https://github.com/yeyupiaoling/Whisper-Finetune) - Fine-tuning utilities

• [whisper-finetuning](https://github.com/jumon/whisper-finetuning) - Fine-tuning framework

Deployment & Containers

• [cog-whisper](https://github.com/replicate/cog-whisper) - Cog container for deployment

IDE & Editor Integrations

VS Code Extensions:

• Whisper Assistant - Voice-to-text integration

• Yap - Cursor Extension - Voice input for VS Code/Cursor

• WhisperX Assistant - WhisperX integration

Other Editors:

• [whisper-obsidian-plugin](https://github.com/nikdanilov/whisper-obsidian-plugin) - Obsidian integration

Game Development

• [whisper.unity](https://github.com/Macoron/whisper.unity) - Unity game engine integration

Pipelines & Workflows

• [WhisperChain](https://github.com/chrischoy/WhisperChain) - Pipeline framework for Whisper workflows

• [whisper-playground](https://github.com/saharmor/whisper-playground) - Interactive playground for experimentation

Resources

Official Documentation

• OpenAI Whisper Repository

• arXiv.org

  Robust Speech Recognition via Large-Scale Weak Supervision

  We study the capabilities of speech processing systems trained simply to predict large amounts of transcripts of audio on the internet. When scaled to 680,000 hours of multilingual and multitask supervision, the resulting models generalize well to standard benchmarks and are often competitive with prior fully supervised results but in a zero-shot transfer setting without the need for any fine-tuning. When compared to humans, the models approach their accuracy and robustness. We are releasing models and inference code to serve as a foundation for further work on robust speech processing.

  
• huggingface.co

  Whisper Release - a openai Collection

  Whisper includes both English-only and multilingual checkpoints for ASR and ST, ranging from 38M params for the tiny models to 1.5B params for large.

  

Community Awesome Lists

• awesome-openai-whisper (ancs21)

• awesome-whisper (saharmor)

• awesome-whisper (oenu)