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Which is the better voice transcription for Mac in 2026?
We compared SuperWhisper and MacWhisper across 5 key factors including price, open-source status, and community adoption. Both SuperWhisper and MacWhisper are excellent voice transcription. Read our full breakdown below.
AI-powered dictation with LLM reformatting
Speech recognition and transcription tool
Both SuperWhisper and MacWhisper are excellent voice transcription. SuperWhisper is better for users who prefer polished experiences, while MacWhisper excels for those who value established ecosystems.
| Feature | SuperWhisper | MacWhisper |
|---|---|---|
| Price | Free | Free |
| Open Source | No | No |
| Monthly Installs | N/A | N/A |
| GitHub Stars | N/A | N/A |
| Category | System Utilities | System Utilities |
brew install --cask superwhisperbrew install --cask macwhisperSuperWhisper is a dedicated AI dictation utility designed to completely replace macOS's native dictation feature. Launched with a focus on privacy and speed, it runs local Whisper models (or optional cloud models) to transcribe speech to text in real-time, inserting the output directly where your cursor is located. Unlike traditional dictation, SuperWhisper acts as a 'smart' layer between your voice and your screen; it doesn't just transcribe words, it formats them. Using customizable 'Modes,' users can instruct the AI to automatically format spoken text as a bulleted list, a professional email, or even Python code. As of 2026, it supports advanced features like context awareness (reading the screen to understand what you are replying to) and multi-language support, making it a productivity powerhouse for those who prefer speaking over typing.
MacWhisper is the premier audio transcription and subtitling tool for macOS. While it offers a dictation mode, its primary strength lies in processing pre-recorded audio and video files. Developed by Jordi Bruin, it wraps OpenAI's Whisper technology in a user-friendly, native Mac interface that makes transcribing gigabytes of media effortless. It supports drag-and-drop functionality, batch processing, and system audio recording (perfect for capturing Zoom meetings without a bot). As of 2026, MacWhisper Pro includes advanced features like speaker diarization (identifying who is speaking), translation, and highly optimized 'Turbo' models that transcribe hours of audio in minutes. It is widely regarded as the essential tool for anyone working with media assets that need to be searchable or readable.
SuperWhisper is built specifically for this. It sits in your menu bar and activates with a global hotkey. You speak, and it types directly into the active window. Its 'Modes' feature allows for on-the-fly formatting (e.g., 'fix grammar,' 'write as code'), and it handles mic toggling and sentence corrections seamlessly. It feels like a natural extension of the keyboard.
MacWhisper offers a dictation mode that replaces the system dictation, but it feels secondary to the app's main purpose. While accurate (using the same models), the workflow is less fluid for rapid-fire text entry across different apps compared to SuperWhisper's cursor-centric design. It is functional but lacks the deep formatting macros of SuperWhisper.
Verdict: SuperWhisper provides a far superior, integrated live dictation experience.
SuperWhisper allows you to drag a file onto its icon for transcription, but it is a basic utility. It lacks advanced playback controls, segment editing, and the robust export options found in dedicated transcription software. It is intended for quick, one-off file conversions rather than heavy media workflows.
This is MacWhisper's home turf. You can drag in hundreds of files, queue them up, and let them process in the background. It offers a full editor interface where you can listen to audio synced with text, correct errors, tag speakers, and export to .srt, .vtt, .docx, .pdf, and more. It handles large video files with ease.
Verdict: MacWhisper is the undisputed king of file transcription on macOS.
SuperWhisper's 'Modes' are a game-changer. You can configure a mode to take your rough rambling and output a polished LinkedIn post, or a mode that strips filler words strictly. It can also use 'Context,' reading the text in your active window (like an email you're replying to) to generate relevant responses via voice.
MacWhisper focuses on verbatim transcription accuracy. While the Pro version allows for some AI post-processing (like summarizing a transcript using an LLM), it does not have the same real-time, context-aware text generation capabilities that modify your speech as you dictate it into a document.
Verdict: SuperWhisper's ability to format and rewrite text on the fly is unique.
SuperWhisper is primarily designed for a single speaker (the user) dictating to the machine. It does not focus on distinguishing multiple speakers in a real-time stream, as that is rarely needed for personal dictation workflows.
MacWhisper Pro supports speaker diarization, automatically detecting and labeling 'Speaker A,' 'Speaker B,' etc. This is essential for transcribing interviews, podcasts, and meetings. It allows users to manually rename speakers for the entire document easily.
Verdict: MacWhisper is essential for multi-speaker audio sources.
SuperWhisper listens to your microphone. It is not designed to tap into system audio to record a Zoom call or a YouTube video playing in a browser tab. Its focus is input, not capture.
MacWhisper can record system audio directly. This effectively replaces the need for a separate meeting bot. You can simply hit record in MacWhisper, have your meeting, and receive a full transcript with speaker labels immediately after hanging up.
Verdict: MacWhisper can transcribe what your computer hears; SuperWhisper transcribes what you say.
Runs entirely offline by default using local Whisper models. No audio data leaves the device unless the user explicitly opts into using a cloud model (like OpenAI or Anthropic) for higher accuracy/intelligence. Privacy is a core selling point.
Also runs entirely offline by default. All transcription happens locally on the Mac's Neural Engine/GPU. It is highly trusted by journalists and legal professionals because sensitive interview files never need to be uploaded to a third-party cloud server.
Verdict: Both apps offer top-tier privacy with local-first processing.
Exports are generally simple text or copied directly to the clipboard. Since the output destination is usually the active text field, extensive file export options are not the primary focus.
Offers a massive array of export formats: .srt, .vtt (subtitles), .csv, .docx, .pdf, HTML, and even specialized formats for video editing software like Final Cut Pro and DaVinci Resolve.
Verdict: MacWhisper is built for professional media workflows.
Can create a 'Code Mode' that formats spoken logic into Python or JavaScript syntax directly into VS Code, saving typing strain.
Needs to process large .WAV files, identify different hosts (diarization), and export .SRT files for video versions. SuperWhisper cannot do this.
Records interviews on a phone, AirDrops them to Mac, and needs a fast, accurate transcript with timestamps to find quotes. Privacy is key.
Wants to 'write by speaking' to get into a flow state. Needs the text to appear instantly in Scrivener or Ulysses without switching apps.
Needs to record Zoom lectures (system audio) and transcribe them later for study notes. The Free version of MacWhisper is likely sufficient.
Journalists who record hour-long interviews need MacWhisper's batch transcription capabilities. Drop in an audio file — whether it is an MP3 from a voice recorder, an M4A from an iPhone, or a WAV from a professional mic — and MacWhisper processes it entirely on-device with no cloud upload required (critical for protecting sources). The app generates timestamped transcripts that can be exported as SRT subtitles, plain text, or segmented by speaker when using the Pro tier's diarization feature. This workflow is impossible with SuperWhisper, which is designed for live dictation rather than file processing.
Developers frustrated with macOS's built-in dictation accuracy — especially with technical terms, variable names, and command-line jargon — find SuperWhisper transformative. It runs locally on Apple Silicon with the large Whisper model, correctly transcribing terms like 'kubectl', 'useState', and 'PostgreSQL' that Apple's dictation mangles. SuperWhisper integrates system-wide, so you can dictate into Slack, VS Code terminal, email, or any text field. The custom vocabulary feature lets you train it on project-specific terminology, and the AI reformatting mode cleans up spoken language into properly formatted text.
YouTube creators who need accurate subtitles and captions for their videos benefit from MacWhisper's ability to process video files directly and export SRT or VTT subtitle files. The transcription accuracy with the large model surpasses YouTube's auto-generated captions, especially for technical content or accented speech. Creators can edit the transcript within MacWhisper before export, correct any errors, and generate professional-quality subtitles without paying for a third-party transcription service.
If you are switching to MacWhisper, you are likely shifting from 'creating text' to 'processing text.' You won't be able to dictate directly into apps as fluidly. Use MacWhisper's 'Dictation' window for short bursts, but get used to recording voice notes on your phone or Voice Memos app and dragging them into MacWhisper for processing.
Switching to SuperWhisper means you want to write faster. You will need to learn to 'speak' your punctuation or set up AI modes to handle it for you. Spend time configuring the 'Personal Voice' and 'Vocabulary' settings to ensure it recognizes your specific jargon, as you won't have the post-transcription editing phase you had in MacWhisper.
Both apps use the 'Whisper' model format. You can often share custom models (like distil-whisper) between them if you know how to manage file paths, though they manage downloads internally.
Winner
Runner-up
While both apps are exceptional examples of modern AI software, **MacWhisper** takes the overall crown for its incredible value proposition, robust feature set, and lack of recurring subscription fees. It is the Swiss Army Knife of audio text, handling everything from simple voice notes to complex multi-speaker video subtitles. However, **SuperWhisper** is the superior product for the specific niche of *writers and coders* who want to replace their keyboard. If your goal is purely to dictate text into documents, SuperWhisper's workflow is unbeatable. But for the broader category of 'Mac Speech-to-Text,' MacWhisper offers more utility for a wider range of users at a better price point.
Bottom Line: Buy MacWhisper for files and meetings; subscribe to SuperWhisper if you want to write with your voice.
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Last verified: Feb 15, 2026
Accessed Feb 15, 2026
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