# HyperWhisper Published January 1, 2026 · Updated August 10, 2026 AI-powered speech-to-text transcription Category: System Utilities · Free · Replaces Superwhisper ($8/month) · [Official website](https://hyperwhisper.com) ## Install with Homebrew `brew install --cask hyperwhisper` ## Quick take HyperWhisper in August 2026 is a standout for people who refuse dictation subscriptions: open source, strong offline path and honest pay-as-you-go cloud. It is an excellent Mac voice layer for writers and coders, just do not mix it up with Superwhisper when comparing prices. Best for: Mac users who want free offline dictation, Developers wiring voice into agent workflows via MCP, Privacy-sensitive professionals who BYO keys or stay local ## What is HyperWhisper? - Complete Guide for Mac Users in 2026 HyperWhisper is a native voice-to-text app for **macOS 14+** and Windows that turns speech into clean text inside any app. Built by indie maker Ray Amjad, it emphasizes hybrid processing: fully offline local models (Whisper-family and NVIDIA Parakeet options, plus local post-processing such as Gemma 3 sizes) or cloud providers when you want speed and accuracy. **August 2026 reality (important pricing correction):** HyperWhisper is now **fully open source (Apache-2.0)** and markets **no subscription**. Download free and use local offline transcription forever; the free tier also includes **5 minutes of cloud transcription per day**. Beyond that, **HyperWhisper Cloud** is pay-as-you-go credits (from about **$5**, with **1,000 credits per $1**, plus a **6%** payment processing fee) rather than a Pro seat, unused credits expire after **12 months**. Bring-your-own-keys remains free of HyperWhisper markup across providers such as xAI Grok STT, OpenAI, Groq, Deepgram, AssemblyAI, ElevenLabs, Mistral and Google Gemini. Post-processing defaults on Cloud are described around **Grok 4.1 Fast** non-reasoning, with multiple STT quality tiers (Groq/Deepgram/ElevenLabs/Grok STT). Do not confuse HyperWhisper with **Superwhisper** (different product, subscription/lifetime pricing). Competitors in 2026 include Superwhisper, Wispr Flow, MacWhisper, Apple Dictation and other lifetime dictation apps. HyperWhisper differentiates with open source transparency, MCP/local API hooks for agents, screen OCR for spelling and modes for meeting/email/note/code/legal/medical workflows. ## Features - **Instant Local Transcription Engine.** HyperWhisper uses a highly optimized implementation of the OpenAI Whisper architecture, specifically tuned for Apple's Neural Engine. Technically, it runs quantized models (like Base.en or Small.en) directly on the device to ensure zero network latency and complete privacy. For users, this means that even when the internet is down, or when discussing sensitive confidential information, the transcription works flawlessly. The C++ backend ensures that the 'Time to First Token' is under 200ms on M3 chips, making it feel faster than cloud-based competitors like Dragon or Google Dictate. - **Context-Aware Smart Modes.** Beyond simple speech-to-text, HyperWhisper introduces 'Smart Modes' that adjust the formatting and output style based on the user's current task. For example, the 'Coding Mode' automatically formats spoken logic into camelCase or snake_case variables and recognizes syntax like 'open brace' or 'function'. A 'Prose Mode' handles punctuation intelligence, automatically inserting commas and periods where the intonation suggests, rather than requiring the user to dictate every punctuation mark. This feature uses a lightweight local LLM post-processing step to clean up the raw Whisper output. - **Custom Vocabulary Injection.** One of Whisper's few weaknesses is proper nouns and niche industry jargon. HyperWhisper solves this with a dynamic 'Hot-Word' injection system. Users can upload a list of company names, medical terms, or project code names that the model prioritizes during decoding. Technically, this works by biasing the logits in the beam search decoding process towards the user's defined dictionary. For a lawyer, this means the app correctly spells 'affidavit' or specific case names every time, saving hours of editing. - **System-Wide 'Super' Input.** HyperWhisper does not trap your text in a dedicated window. It acts as a virtual keyboard driver. By pressing a global hotkey (default: Command+Option+H), the user activates a discreet floating microphone HUD. As they speak, the app pipes keystrokes directly into the active window's cursor position. This works universally across the OS, inside Terminal, Notion, text inputs in Chrome, or even Spotlight search. It effectively replaces the keyboard for rapid text entry without requiring app-specific integrations. - **Multi-Lingual Auto-Switching.** Using Whisper's vast training data, HyperWhisper supports over 100 languages with the ability to auto-detect the spoken language in real-time. A user can start a sentence in English and finish it in Spanish and the app will switch transcription models or language tokens dynamically. This is powered by analyzing the first 2 seconds of audio buffer to determine language probability. For polyglots or international teams, this feature eliminates the friction of manually changing language settings in system preferences. - **Audio File Drag-and-Drop.** While primarily a dictation tool, HyperWhisper includes a solid batch-processing interface for pre-recorded audio. Users can drag .mp3, .wav, or .m4a files onto the dock icon and the app will background-process them into text files (TXT, SRT, or VTT). This uses the 'Large-v3' Whisper model for maximum accuracy since real-time latency isn't a concern. A 1-hour meeting recording can be transcribed in under 3 minutes on an M3 Max MacBook Pro, complete with speaker diarization tags. - **Screen OCR for Perfect Spelling.** A standout feature introduced in 2026, Screen OCR allows HyperWhisper to see your screen to spell technical terms, code snippets and proper nouns accurately. When transcribing technical content, the app can reference visual context from your display to disambiguate similar-sounding terms. This is particularly valuable for developers dictating code with unusual variable names, medical professionals working with complex drug nomenclature, or anyone dealing with specialized terminology that standard speech recognition often mistranscribes. - **Open Source + MCP / Local API.** HyperWhisper is Apache-2.0 open source, including Cloud backend code for inspection. A built-in MCP server and local HTTP API let Claude, Cursor and other agents drive transcription, useful for voice-first coding loops on Mac. - **Hybrid Local & Multi-Provider Cloud STT.** Run offline Whisper/Parakeet models with local Gemma-style post-processing, or route audio to 9+ cloud providers and 30+ models. Cloud quality tiers range from fast Groq/Deepgram paths to ElevenLabs Scribe and Grok STT for highest accuracy. ## How to Install HyperWhisper Installing HyperWhisper is straightforward. The app supports macOS 14 (Sonoma) and later, plus Windows 10 and later in beta. Because it relies on local AI models, there is an initial setup phase to download the necessary model weights. 1. **Download from Official Website.** Visit hyperwhisper.com and click the Download button to get the latest version for your platform. The installer will guide you through the setup process. 2. **Grant System Permissions (macOS).** Upon first launch, macOS will ask for permission to access the Microphone and Accessibility features. You must grant 'Accessibility' access in System Settings > Privacy & Security so HyperWhisper can insert text into other applications. Windows users will see similar permission prompts during installation. 3. **Download Whisper Models.** The app requires AI model files to function. Go to the Settings menu > Models tab. Download the 'Base.en' model (approx 140MB) for a good balance of speed and accuracy, or 'Small.en' (480MB) for better accuracy if you have an M1 Pro or better. 4. **Configure Global Hotkey.** Navigate to Preferences > General. Set your 'Toggle Dictation' hotkey. We recommend `Command + Option + Space` (macOS) or `Ctrl + Option + Space` (Windows), or mapping it to a dedicated function key for one-tap access during your workflow. ## Pros - Free offline use forever with no mandatory subscription. - Open source (Apache-2.0) including inspectable Cloud backend. - Flexible BYO keys across many STT/LLM providers plus optional credits. - Modes and custom prompts for meetings, email, code, legal and medical dictation. - MCP/local API integration for agentic Mac workflows. - macOS 14+ on Apple Silicon and Intel; Windows available with catching feature parity. ## Cons - Cloud credits expire after 12 months, budget top-ups carefully. - Windows build may lag macOS features. - Local large models need RAM (8GB+ recommended) for comfort. - Easy to confuse with Superwhisper when shopping comparisons. ## in-depth look: HyperWhisper Architecture and Internals HyperWhisper is not merely a wrapper around the Python `openai-whisper` library, which would be too slow for real-time dictation. Instead, it likely employs a high-performance inference engine based on `whisper.cpp` or Apple's `MLX` framework. This allows the heavy Transformer models to run directly on the Neural Engine (ANE) of Apple Silicon chips. By quantizing the model weights from 32-bit floating point down to 4-bit or 5-bit integers, HyperWhisper reduces the memory bandwidth requirement significantly, allowing a 'Large' model that normally requires 10GB VRAM to run comfortably on a standard 16GB MacBook Air. The audio pipeline uses a ring buffer to stream audio chunks to the encoder, providing the 'streaming' text effect. ## FAQ ### Does HyperWhisper require a subscription in 2026? No. The product explicitly markets no subscription. Offline local transcription is free forever; optional Cloud is pay-as-you-go credits. ### What do I get on the free tier? Unlimited local offline transcription (model hardware permitting) plus about 5 minutes per day of cloud transcription without buying credits. ### How do HyperWhisper Cloud credits work? Buy credits from about $5 (1,000 credits per $1) with a 6% processing fee. Spend only when you transcribe. Credits expire 12 months after purchase; oldest credits are consumed first. ### Which models and providers are supported? Local Whisper and Parakeet models; local post-processing via Gemma 3 sizes; cloud providers including xAI Grok STT, OpenAI, Groq, Deepgram, AssemblyAI, ElevenLabs, Mistral and Google Gemini. Cloud post-processing defaults reference Grok 4.1 Fast non-reasoning. ### Is HyperWhisper the same as Superwhisper? No. They are different products with different pricing. Superwhisper uses Free/Pro subscription and lifetime plans; HyperWhisper is open source with free local use and optional credits. ### What are the Mac system requirements? macOS 14 or newer, Apple Silicon or Intel. 8GB RAM recommended. Accessibility and microphone permissions are required for system-wide dictation. ### Can AI agents control HyperWhisper? Yes. A local MCP server and HTTP API allow tools like Claude or Cursor to trigger transcription workflows. ### Is my audio stored? Local mode keeps audio on-device. Cloud processes audio in memory per vendor docs and records only usage metadata for billing; Cloud backend source is open for inspection. ### Is there a refund policy? A 14-day money-back window is advertised for purchases; unused non-expired credits may be refunded on request minus processing fees already incurred. ## Sources - [HyperWhisper official site](https://www.hyperwhisper.com/en) - [HyperWhisper documentation](https://hyperwhisper.com/docs) - [Homebrew cask hyperwhisper](https://formulae.brew.sh/cask/hyperwhisper) - [HyperWhisper GitHub app](https://github.com/hyperwhisper/app) - [Superwhisper site (competitor)](https://superwhisper.com/) - [Mac dictation pricing comparisons 2026](https://www.getvoibe.com/resources/dictation-app-pricing/) - [HyperWhisper blog](https://www.hyperwhisper.com/en/blog) ## Related - [Maccy](https://bundl.run/apps/maccy) - [Stats](https://bundl.run/apps/stats) - [SuperWhisper](https://bundl.run/apps/superwhisper) - [MacWhisper](https://bundl.run/apps/macwhisper) - [Aqua Voice](https://bundl.run/apps/aqua-voice) - [Rectangle](https://bundl.run/apps/rectangle) - [HyperWhisper vs MacWhisper](https://bundl.run/compare/hyperwhisper-vs-macwhisper) - [HyperWhisper vs SuperWhisper](https://bundl.run/compare/hyperwhisper-vs-superwhisper) - [Free alternative to Superwhisper](https://bundl.run/https:/) ```json { "@context": "https://schema.org", "@graph": [ { "@type": "Organization", "@id": "https://bundl.run/#organization", "name": "Bundl.run", "url": "https://bundl.run", "logo": { "@type": "ImageObject", "url": "https://bundl.run/og-image.png", "width": 1200, "height": 630 }, "description": "The Ninite for Mac. 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