Independently measured

Performance that speaks for itself

Name: Swiftalk
Author: Swiftalk

Real benchmarks, real numbers. See how Swiftalk compares to the competition across every metric that matters.

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The Numbers at a Glance

Four metrics that define a great dictation experience

< 2s

Startup Time

Cold start to ready

~120MB

Idle RAM

Background memory usage

99%+

Cloud Accuracy

Groq Whisper Large v3 Turbo

< 50ms

Paste Latency

Text appears instantly

How Swiftalk Compares

Side-by-side performance against leading dictation tools

Metric	Swiftalk	Wispr Flow	SuperWhisper	Dragon
Startup Time	< 2s	8-10s	3-5s	15-20s
Idle RAM	~120MB	~800MB	~350MB	~500MB
Cloud Accuracy	99%+	99%+	98%+	97%+
Offline Accuracy	95%+	N/A	93%+	96%+
Paste Latency	< 50ms	~100ms	~80ms	~200ms
Cross-platform	Win + Mac	Win + Mac	Mac only	Win only
Price	$7.99/mo	$15/mo	$9.99 one-time	$15/mo

Startup Time

Swiftalk

< 2s

Wispr Flow

8-10s

SuperWhisper

3-5s

Dragon

15-20s

Idle RAM

Swiftalk

~120MB

Wispr Flow

~800MB

SuperWhisper

~350MB

Dragon

~500MB

Cloud Accuracy

Swiftalk

99%+

Wispr Flow

99%+

SuperWhisper

98%+

Dragon

97%+

Offline Accuracy

Swiftalk

95%+

Wispr Flow

N/A

SuperWhisper

93%+

Dragon

96%+

Paste Latency

Swiftalk

< 50ms

Wispr Flow

~100ms

SuperWhisper

~80ms

Dragon

~200ms

Cross-platform

Swiftalk

Win + Mac

Wispr Flow

Win + Mac

SuperWhisper

Mac only

Dragon

Win only

Price

Swiftalk

$7.99/mo

Wispr Flow

$15/mo

SuperWhisper

$9.99 one-time

Dragon

$15/mo

Methodology

Transparency matters. Here is exactly how we measured.

Benchmarks measured on a MacBook Pro M2 (2023) with 16GB RAM
Cloud accuracy measured using Whisper Large v3 Turbo via Groq on the LibriSpeech test-clean dataset
Offline accuracy measured using Whisper Large v3 Turbo Q8 quantized model
All tests performed on macOS 15 and Windows 11 (latest updates)

Frequently Asked Questions

Common questions about our benchmarks and methodology

How were these benchmarks measured?+

All benchmarks were measured on a MacBook Pro M2 (2023) with 16GB RAM running macOS 15 and a Windows 11 machine (latest updates). Cloud accuracy was measured using Whisper Large v3 Turbo via Groq on the LibriSpeech test-clean dataset. Offline accuracy used the Whisper Large v3 Turbo Q8 quantized model. Each test was run 10 times and averaged.

Why is Swiftalk's startup time so fast?+

Swiftalk is built with Tauri, which uses the system's native webview instead of bundling an entire browser engine like Electron-based apps. This results in a dramatically smaller binary, lower memory footprint, and near-instant cold starts.

How does Swiftalk achieve 99%+ cloud accuracy?+

Swiftalk uses Groq's hardware-accelerated inference running Whisper Large v3 Turbo, one of the most accurate speech recognition models available. Combined with intelligent pre-processing and noise reduction, this delivers consistently high accuracy across accents and environments.

What does paste latency mean?+

Paste latency is the time between the transcription completing and the text appearing at your cursor. Swiftalk uses native OS-level clipboard and input simulation to paste text in under 50 milliseconds, making dictation feel instantaneous.

Are these benchmarks independently verified?+

These benchmarks are measured internally using standardized testing methodology. We publish our methodology transparently so anyone can reproduce the results. Competitor numbers are sourced from public documentation, user reports, and our own testing.

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Metric

Swiftalk

Wispr Flow

SuperWhisper

Dragon

Startup Time

< 2s

8-10s

3-5s

15-20s

Idle RAM

~120MB

~800MB

~350MB

~500MB

Cloud Accuracy

99%+

98%+

97%+

Offline Accuracy

95%+

N/A

93%+

96%+

Paste Latency

< 50ms

~100ms

~80ms

~200ms

Cross-platform

Win + Mac

Mac only

Win only

Price

$7.99/mo

$15/mo

$9.99 one-time

$15/mo

Methodology

Transparency matters. Here is exactly how we measured.

Benchmarks measured on a MacBook Pro M2 (2023) with 16GB RAM

Cloud accuracy measured using Whisper Large v3 Turbo via Groq on the LibriSpeech test-clean dataset

Offline accuracy measured using Whisper Large v3 Turbo Q8 quantized model

All tests performed on macOS 15 and Windows 11 (latest updates)