Voice to Text Software: 5 Best Superwhisper Alternatives 2026

Superwhisper is Mac-only and costs $249. Here are cross-platform voice to text software alternatives.

Superwhisper is a solid voice-to-text tool for Mac users. It offers custom modes, offline processing, and lifetime pricing.

But there are two problems:

1. Mac-only - No Windows or Linux support
2. $249 lifetime - Premium pricing for a single-platform tool

If you're looking for Superwhisper alternatives - whether because you need cross-platform support, better pricing, or different features - this guide covers your options for the best speech recognition software available today.

Quick Answer: Best Superwhisper Alternatives

What Makes Superwhisper Good (and Its Limitations)

Superwhisper Strengths

• Custom modes - Define how your speech is transformed
• Offline processing - Local Whisper, no cloud required
• Lifetime license - Pay once ($249)
• Good Mac integration - Menu bar access, hotkeys

Superwhisper Limitations

• Mac only - No Windows or Linux
• Premium price - $249 is steep for one platform
• Limited integrations - Primarily standalone
• No mobile - Desktop Mac only

For professionals who need voice to text software across multiple operating systems, these limitations create real workflow friction. You shouldn't have to choose between your preferred OS and your preferred dictation software.

#1: Contextli - Best Cross-Platform Alternative

Price: from $79 one-time (lifetime)

Platforms: Mac, Windows, Linux

Best for: Users who need Superwhisper features on any OS

Why Contextli is the Best Alternative

Contextli offers everything that makes Superwhisper great - custom Contexts, offline processing, lifetime pricing - but works on all desktop platforms at a lower price.

Key Similarities to Superwhisper

Key Differences (Contextli Advantages)

How Contextli Contexts Work

Like Superwhisper, Contextli lets you create custom "Contexts" that define how your speech is transformed. This is what separates modern voice recognition software from basic transcription - the ability to generate context-aware, formatted output rather than raw text.

Email Context Example:

User Input (Voice): "Tell Sarah we need to push the launch back because login is broken and users won't be able to sign in"

Contextli Output:

"Hi Sarah,

I wanted to flag that we need to delay the launch. We've identified a critical issue >with the login flow that would prevent users from signing in.

I'll send an update once we have a fix in place and a revised timeline.

Best,
Alex."

Slack Context:
Same input becomes:

"Hey team - heads up, we need to delay the launch. Login's broken, working on a fix. Will update soon."

Each Context has its own hotkey. Press the key, speak, get context-aware output. This transformation capability is what makes Contextli a productivity tool, not just dictation software.

Transcription Accuracy

Contextli uses the same Whisper models as Superwhisper for local processing, ensuring identical transcription accuracy. For cloud processing, Contextli uses Deepgram, which consistently ranks among the most accurate commercial transcription engines with 90%+ accuracy in professional environments.

Professional Integration Examples

For Developers:
- Speak code documentation, get formatted markdown
- Dictate PR descriptions with proper structure
- Create Jira tickets with standardized fields

For Sales Teams:
- Rapid-fire cold email composition
- CRM note-taking during calls
- Follow-up message generation

For Healthcare Professionals:
- SOAP note formatting
- Patient summary generation
- Referral letter composition

All with the privacy controls healthcare compliance demands - fully offline local processing available.

Pros Over Superwhisper

✅ Cross-platform (Mac, Windows, Linux)

✅ Lower price (from $79 vs $249)

✅ Full BYOK support

✅ Same Context-based workflow

✅ Deeper integration library

Cons

❌ Newer product (Superwhisper more established)

❌ Different interface style

Try Contextli →

#2: Wispr Flow - Best Subscription Option

Price: Free (2K words/week) / $15/month

Platforms: Mac, Windows, iOS

Best for: Users who prefer subscription model

Overview

Wispr Flow is the most popular voice-to-text subscription tool. It offers clean transcription with automatic filler word removal - a feature that distinguishes it from basic speech to text software.

Key Features

• Filler word removal - "um," "uh," "like" automatically removed
• Self-correction handling - "Tuesday... actually Wednesday" becomes "Wednesday"
• Command Mode - Voice commands for editing
• Cross-platform - Mac, Windows, iOS
• Real-time processing - See words appear as you speak

Transcription Accuracy

Wispr Flow uses cloud-based processing with proprietary models that achieve approximately 85-90% accuracy in ideal conditions. The filler word removal feature can make output feel more accurate even when raw transcription quality is similar to competitors.

Wispr Flow vs Superwhisper

Pricing

• Free: 2,000 words/week
• Pro: $15/month ($180/year)

Integration Capabilities

Wispr Flow works system-wide but lacks the deep integrations found in dedicated voice recognition software like Contextli. It pastes formatted text wherever your cursor is, but doesn't connect to specific apps for enhanced functionality.

Pros

✅ Free tier to try

✅ Cross-platform

✅ Good filler word handling

✅ Mobile app available

Cons

❌ Subscription only (no lifetime)

❌ Cloud-only (no offline)

❌ No custom formatting Contexts

❌ Limited integration depth

Best For

Users who want to try voice-to-text before committing, or who prefer paying monthly. The free tier makes it a good entry point for testing whether speech recognition software fits your workflow.

#3: MacWhisper - Budget Mac Alternative

Price: Free / $69 lifetime

Platforms: Mac only

Best for: Mac users on a budget

Overview

MacWhisper is the most affordable lifetime option for Mac users. It's a straightforward Whisper-based transcription tool that prioritizes simplicity over advanced features.

Key Features

• Local Whisper - All processing on-device
• Simple interface - Drag-and-drop or record
• Export options - Multiple format support
• Affordable - $69 one-time
• Batch processing - Transcribe multiple files

Transcription Accuracy

MacWhisper uses OpenAI's Whisper models locally, providing the same accuracy as Superwhisper's offline mode. Accuracy depends on which model size you choose:
- Tiny: Fast but less accurate (~80% in noisy environments)
- Base: Good balance (~85% accuracy)
- Small/Medium: Better accuracy (~90%+) but slower
- Large: Best accuracy (~95%+) but requires significant processing time

MacWhisper vs Superwhisper

Setup Difficulty

Easy - Download, install, select your Whisper model size, start transcribing. No API keys, no configuration. This is one of the easiest voice to text software options to get running.

Limitations

• No custom Contexts - Raw transcription only
• Limited real-time - Better for file transcription
• Mac only - Same limitation as Superwhisper
• No AI formatting - Output needs editing

Pros

✅ Very affordable ($69)

✅ Fully local/private

✅ Simple, focused

✅ Good for batch work

Cons

❌ Mac only

❌ Raw transcription (needs editing)

❌ No Context system

❌ Limited real-time capabilities

Best For

Mac users who want basic Whisper transcription at the lowest cost, or users who primarily transcribe audio files rather than doing live dictation.

#4: Built-in Dictation - Free Option

Price: Free
Platforms: Mac, Windows, iOS, Android
Best for: Occasional dictation

Overview

Every platform has built-in dictation capabilities:
- Mac: Fn+Fn or System Settings → Keyboard → Dictation
- Windows: Win+H
- iOS/Android: Keyboard microphone

These options represent the baseline for speech to text software - functional but limited.

Strengths

• Free and pre-installed
• Works anywhere
• No setup required
• System-wide availability

Transcription Accuracy

Built-in dictation accuracy varies by platform:
- Mac: ~85% accuracy, improves with usage
- Windows: ~80-85% accuracy
- iOS: ~90% accuracy (best of the built-ins)
- Android: ~85-90% accuracy

All require clear speech and quiet environments for best results.

Limitations

• Raw transcription (all filler words included)
• No AI formatting
• No custom Contexts
• Heavy editing required
• Limited punctuation control
• Inconsistent across platforms

Built-in vs Superwhisper

Built-in dictation is raw transcription. Superwhisper (and Contextli) transform speech into context-aware output. The difference is significant for professional use.

Example:

You say: "um so basically we need to like postpone the meeting because uh the deck isn't ready yet"

Built-in dictation output:
"um so basically we need to like postpone the meeting because uh the deck isn't ready yet"

Superwhisper/Contextli output:
"We need to postpone the meeting - the deck isn't ready yet."

Setup Difficulty

Easiest - Already installed, just activate. No learning curve beyond remembering the activation key.

Best For

Occasional use, rough drafts, or users who want to try voice input before investing in dedicated dictation software. Also useful as a backup when your primary tool isn't available.

#5: Whisper.cpp - DIY Open Source

Price: Free (open source)

Platforms: Mac, Windows, Linux (with setup)

Best for: Technical users

Overview

Whisper.cpp is the open-source C++ implementation of OpenAI's Whisper model. It's what powers many voice-to-text tools, including some on this list. This is voice recognition software in its rawest form.

Strengths

• Completely free
• Fully local/private
• Highly customizable
• Cross-platform
• Active development community
• No vendor lock-in

Transcription Accuracy

Identical to OpenAI's Whisper since it uses the same models. Accuracy depends on model size:
- Tiny: ~80%
- Base: ~85%
- Small: ~90%
- Medium: ~92%
- Large: ~95%

Setup Difficulty

Advanced - Requires comfort with command-line interfaces, compiling software, and potentially troubleshooting dependencies. Not recommended for non-technical users.

Typical setup involves:
1. Clone the repository
2. Compile the code
3. Download model files
4. Learn command syntax
5. Create your own integration scripts

Limitations

• Requires technical setup
• Command-line interface
• No user-friendly UI
• No AI formatting (raw transcription)
• DIY integration required
• Steep learning curve

Best For

Developers and technical users who want maximum control and are comfortable with command-line tools. Also useful for building custom voice to text software solutions or integrating transcription into existing applications.

Feature Comparison Matrix

Pricing Comparison

For professionals who use speech recognition software daily, the lifetime pricing model of Contextli offers significant long-term value compared to subscription alternatives.

Setup Difficulty Ranking

From easiest to most complex:

1. Built-in Dictation - Already installed, just activate
2. Wispr Flow - Download, sign up, start using
3. Contextli - Download, configure Contexts, assign hotkeys (~10 minutes)
4. MacWhisper - Download, select model, start transcribing
5. Whisper.cpp - Compile, configure, integrate (technical users only)

If you're new to voice to text software, starting with built-in dictation or Wispr Flow's free tier lets you test the concept before committing to a paid solution.

Migration Guide: Superwhisper to Contextli

If you're switching from Superwhisper to Contextli, here's how to replicate your setup:

1. Recreate Your Contexts

Superwhisper modes → Contextli Contexts:
- Same concept: pre-defined contexts with specific formatting rules
- Same workflow: hotkey → speak → context-aware output
- Export your Superwhisper modes' system prompts
- Create matching Contexts in Contextli
- Test output to verify formatting matches

2. Set Up Hotkeys

Assign the same (or similar) keyboard shortcuts you used in Superwhisper. Contextli supports global hotkeys on all platforms.

3. Configure Privacy Settings

If you used Superwhisper's offline mode:
- Enable local Whisper in Contextli
- Or configure BYOK for your preferred AI provider
- Both options maintain the same privacy guarantees

4. Test Your Workflow

Run through your typical use cases to verify output matches your expectations. The transition should be seamless since both tools use the same Context-based paradigm.

5. Cross-Platform Setup (Optional)

If you work across multiple operating systems, install Contextli on your Windows or Linux machines and sync your Contexts using the cloud sync feature. Your hotkeys and workflows remain identical across platforms.

Which Voice to Text Software Should You Choose?

Choose Contextli if you:

• Work across multiple operating systems
• Want Superwhisper features at a lower price
• Need deep integration with productivity apps
• Value context-aware output over raw transcription
• Want both cloud and offline options

Choose Wispr Flow if you:

• Prefer monthly payments
• Want to try before buying (free tier)
• Need mobile app access
• Prioritize filler word removal
• Don't need custom formatting

Choose MacWhisper if you:

• Are Mac-only
• Need basic transcription only
• Want the lowest upfront cost
• Primarily transcribe files (not live dictation)

Choose Built-in Dictation if you:

• Use voice-to-text occasionally
• Don't want to install additional software
• Are testing whether voice input works for you

Choose Whisper.cpp if you:

• Are comfortable with command-line tools
• Want to build custom integrations
• Need maximum privacy and control
• Have technical expertise

Recommendation

Best Overall Superwhisper Alternative: Contextli

• Same Context-based workflow
• Cross-platform (Mac, Windows, Linux)
• Lower price (from $79 vs $249)
• Lifetime license
• Deeper integration ecosystem

For professionals who need reliable, cross-platform voice recognition software with the intelligence to produce context-aware output, Contextli delivers Superwhisper's core strengths without the platform limitations.

Best Budget Option: MacWhisper ($69)

If you're Mac-only and just need basic transcription, MacWhisper is the most affordable lifetime option.

Best for Trying Voice-to-Text: Wispr Flow (Free tier)

If you want to test whether speech to text software fits your workflow before committing, Wispr Flow's free tier lets you try 2,000 words/week.

Final Thought

Superwhisper is a good tool limited by its Mac-only constraint and premium pricing.

If you need cross-platform support, Contextli offers the same Context-based, offline-capable workflow at less than half the price - and works on Windows and Linux too.

The future of dictation software isn't just about transcription accuracy. It's about context-aware transformation that adapts to where you're writing and what you're trying to accomplish. That's what separates modern voice to text software from traditional speech recognition tools.

Try Contextli →

Are you switching from Superwhisper? What features matter most to you? Share in the comments.