HyperWhisper
AI-powered speech-to-text transcription
Install with Homebrew
brew install --cask hyperwhisper
HyperWhisper — Official Website
Quick Take: HyperWhisper
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.
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.
Key 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.
Who Should Use HyperWhisper?
1Software Engineer
Alex, a senior developer, uses HyperWhisper to reduce repetitive strain injury (RSI) risks. While working in VS Code, Alex activates the 'Coding Mode' via a foot pedal mapped to the HyperWhisper hotkey. He dictates git commit messages, documentation comments and even boilerplate code structures. When he says 'function get user by ID camel case', HyperWhisper outputs 'getUserById'. The local processing is important because Alex works on proprietary code that cannot be sent to a cloud API. The result is a 40% reduction in daily typing usage without slowing down his development velocity.
2Medical Practitioner
Dr. Sarah Lin needs to update patient charts in her EHR system between consults. Standard dictation tools fail with drug names and medical acronyms. Sarah configures HyperWhisper with a custom 'Medical Vocabulary' list containing her clinic's specific terminology. She speaks rapidly into her MacBook Air between appointments: 'Patient presents with acute pharyngitis, prescribed Amoxicillin 500mg.' HyperWhisper captures 'Amoxicillin' correctly every time, unlike Siri which often guesses 'A box of silly'. The offline nature ensures she stays HIPAA compliant, as no patient data ever leaves her laptop.
3Content Creator / YouTuber
Marcus produces three video essays a week and needs accurate subtitles. Instead of paying for a service like Rev.com, he drags his final audio export into HyperWhisper. He selects the 'Large-v3' model for maximum precision. Within minutes, the app generates an SRT file with perfect timestamps. He also uses the dictation mode to write his scripts in Notion, speaking his stream of consciousness while pacing the room with AirPods. The ability to trust the transcription allows him to focus on creativity rather than correcting typos, speeding up his entire production pipeline.
4Executive Assistant
Priya manages emails for a high-profile CEO. She receives voice memos from her boss via iMessage which she needs to turn into formal emails. She plays the voice memo on her phone while having HyperWhisper's microphone active on her Mac, effectively 're-recording' it into text. She then uses the 'Email Mode' which automatically formats the raw text into paragraphs with proper capitalization. This workflow transforms a 5-minute rambled voice message into a drafted email in seconds, allowing her to clear the inbox significantly faster than manual typing.
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.
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.
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.
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.
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.
Pro Tips
- • Use the 'Tiny' model for older Intel Macs to prevent lag.
- • Enable 'Launch at Login' to ensure the background service is always ready.
- • If you use AirPods, set the Input Device explicitly in HyperWhisper settings.
- • Periodically check the 'Updates' tab for new quantized model versions.
Configuration Tips
Optimize for Apple Silicon Neural Engine
In the 'Advanced' settings, ensure the 'Compute Backend' is set to 'CoreML' or 'Metal' rather than CPU. This offloads the heavy lifting to the Neural Engine on M-series chips, reducing battery drain significantly and keeping your laptop cool during long dictation sessions.
Fine-Tune VAD (Voice Activity Detection)
If HyperWhisper cuts off too early while you are thinking, increase the 'Silence Timeout' slider to 1500ms or 2000ms. Conversely, if it waits too long to type after you stop speaking, lower this value to make the text appear snappier.
Set Up Text Replacement Macros
You can define simple regex replacements in the 'Post-Processing' tab. For instance, map the spoken phrase 'new line' to \n or 'smiley face' to :). This is faster than relying on the AI to interpret these formatting commands every time.
Enable Audio Ducking
Turn on 'Audio Ducking' in the Sound settings. This feature automatically lowers the volume of music or videos playing on your Mac (like Spotify) whenever the microphone is active, preventing the AI from transcribing the background lyrics.
Alternatives to HyperWhisper
Voice dictation on Mac is crowded in 2026. Separate HyperWhisper from Superwhisper when comparing.
Superwhisper
Popular multi-platform dictation with Free + Pro monthly (~$8.49) / yearly / ~$249.99 lifetime options, subscription-oriented versus HyperWhisper's open-source + credits model.
Wispr Flow
Cloud-forward dictation with higher monthly pricing; strong UX, less offline-first emphasis.
MacWhisper
Excellent file transcription and local Whisper workflows; less of a always-on dictation overlay for every text field.
Apple Dictation
Free and system-integrated; weaker for custom modes, vocabulary and multi-provider cloud quality.
VoiceInk / other OSS
Open alternatives exist for privacy purists; HyperWhisper aims for broader polish plus optional Cloud convenience.
Pricing
No subscription is required. Local offline transcription is free forever. Free tier includes 5 minutes/day of cloud transcription. Optional HyperWhisper Cloud credits are pay-as-you-go (top up from $5; 1,000 credits per $1; 6% processing fee; 12-month expiry). BYO API keys for Groq, xAI Grok, OpenAI, Deepgram, AssemblyAI, ElevenLabs, Mistral and Google Gemini with no HyperWhisper markup. 14-day money-back policy is documented for credit purchases. Enterprise SSO/custom hosting is sold via contact sales, not a consumer Pro SKU.
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.
Community & Ecosystem
HyperWhisper has a active, developer-centric community, primarily organized around its GitHub repository and a dedicated Discord server. The developer, 'theramjad', is highly active, often pushing updates within days of new OpenAI Whisper releases. Users actively share 'Custom Vocabulary' lists (e.g., a shared JSON list for medical terms or Python syntax) in the community forums. Documentation is technical but thorough, hosted on GitBook, with specific guides for optimizing performance on different Mac chips.
Video Tutorials
Getting Started with HyperWhisper
More Tutorials
How to use OpenAI Whisper on your Mac
Felipe Baez • 50.6K views
How to Make Anki Flashcards 10x Faster with AI (for free!)
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Wispr Flow: the smartest way to automate anything.
Andrei Doktoroff • 7.9K views
Frequently Asked Questions about HyperWhisper
About the Author
Productivity & Workflow Analyst
Expert Tips for HyperWhisper
On X, builders mention HyperWhisper inside Claude Code / agent loops as a feedback microphone, not just a writer tool, matching the product's MCP positioning.
Japanese and multilingual users highlight local Ollama/LM Studio post-processing options when they want offline cleanup without sending audio to every cloud STT vendor.
Related Technologies & Concepts
Related Topics
Local AI Productivity Tools
HyperWhisper is part of a growing trend of running AI locally on Mac.
Accessibility Software
Voice control and dictation are key accessibility features for users with RSI.
Privacy-Focused Utilities
Tools that guarantee data sovereignty are essential for enterprise users.
Sources & References
Fact-CheckedLast verified: Aug 9, 2026
Key Verified Facts
- HyperWhisper markets no subscription; local offline transcription is free forever with 5 minutes/day cloud on free tier.[cite-1]
- Cloud credits start around $5 with 1,000 credits per $1, a 6% fee and 12-month expiry.[cite-1]
- System requirements include macOS 14+ on Apple Silicon or Intel.[cite-1]
- 1HyperWhisper official site
Accessed Aug 9, 2026
"Open source announcement, free local use, 5 min/day cloud, credits model, providers, system requirements."
- 2HyperWhisper documentation
Accessed Aug 9, 2026
"Product intro: online/offline models and provider list."
- 3
- 4
- 5
- 6Mac dictation pricing comparisons 2026
Accessed Aug 9, 2026
"Market pricing landscape for Mac dictation apps."
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Research queries: HyperWhisper pricing 2026; HyperWhisper open source; HyperWhisper vs Superwhisper