147 developers downloaded this week

Your Voice, Straight Into
Claude Code.

Push a key. Speak. Watch your prompt appear — transcribed offline, GPU-accelerated, instantly in English. No cloud. No lag.

AK
SR
TM
YL
DV
Join 0+ developers
macOS 13+LinuxMetal GPU100% Offline99 Languages
3.7×
Faster than typing
<1s
Large model on GPU
99
Languages supported
0ms
Cloud latency
voice2agentGPU
▸ Transcribing...
Recording·Whisper Large-v3·Metal GPU·EN
Works withClaude Code·OpenCode·Cursor·Windsurf·iTerm2·Terminal·VS Code

Three steps. Zero friction.

Pure speed. Pure privacy.

1

Press Hotkey

Hit Ctrl+` from any app. No window switching.

Ctrl + `
2

Speak Naturally

Any language. Whisper translates to English automatically.

3

Watch It Happen

Words appear in Claude Code instantly. Under 1 second.

1 · Press Ctrl+`2 · Speak3 · Sent
MacBook
0:00
Stop⌥Space|CancelEsc
claude ~/project $
>

Average words per minute for code prompts

Typing
40 WPM
Voice2Agent
150 WPM
Voice is 3.7x Faster

Typing 40 WPM vs Speaking 150 WPM. More context to AI. Less effort. Better results.

Everything you need.
Nothing you don't.

100% Offline & Private

Whisper.cpp runs entirely on your machine. Your voice never leaves. No API keys, no servers, no logs. Ever.

GPU

Metal GPU Accelerated

Runs on your GPU via Apple Metal. Large model (2.9GB) transcribes in under 1s. Way faster than any CPU-based tool.

99 Languages → English

Think in Russian, Hebrew, Arabic, or any language. Get English output. Save 40–65% on Claude tokens per prompt.

NATIVE

Native Agent Integration

Built for Claude Code, OpenCode, Cursor, Windsurf, iTerm2. Text is injected directly — no copy-paste needed.

Screenshot Attachments

Drag & drop up to 18 screenshots. Show the AI your UI bug, error, or design — don't just describe it.

macOS + Linux

Native on Apple Silicon (M1–M5) and Linux (Ubuntu, Debian, Arch). NVIDIA CUDA and AMD ROCm supported on Linux.

3 Whisper Models

Tiny (500MB, <300ms) · Medium (1.5GB, ~700ms) · Large-v3 (2.9GB, <1s on GPU). Pick your speed/accuracy tradeoff.

Edit Before Send

Review and edit transcription before it's sent. Full history. Smart VAD auto-stops when you pause (1–30s timeout).

Think in your language. Code in English.

Real test results from Whisper large-v3 on Apple M5 GPU. We show what works, what's partial, and what's not ready yet. No marketing fluff.

voice2agent@localhost: ~/languageszsh — 120×38
voice2agent@localhost ~/languages $ whisper-test --model large-v3 --gpu metal --sort token-cost --all-languages
sort:
LANGUAGESCRIPTTOKENSWHISPER ACCURACYTRANSLATESTATUS
🇺🇸englishlatin1.0×
100%
✓ native
SUPPORTED
🇩🇪germanlatin1.5×
97%
✓ good
SUPPORTED
🇫🇷frenchlatin1.4×
96%
✓ good
SUPPORTED
🇪🇸spanishlatin1.3×
96%
✓ good
SUPPORTED
🇮🇹italianlatin1.4×
95%
✓ good
SUPPORTED
🇧🇷portugueselatin1.3×
94%
✓ good
SUPPORTED
🇵🇱polishlatin1.6×
92%
✓ good
SUPPORTED
🇹🇷turkishlatin1.5×
78%
~ fair
PARTIAL
🇲🇾malaylatin1.4×
88%
✓ good
SUPPORTED
🇻🇳vietnameselatin1.8×
45%
✗ broken
BETA
🇷🇺russiancyrillic1.9×
98%
✓ good
SUPPORTED
🇺🇦ukrainiancyrillic1.9×
98%
✓ good
SUPPORTED
🇬🇷greekgreek2.0×
88%
✓ good
SUPPORTED
🇮🇳hindidevanagari2.5×
72%
~ fair
PARTIAL
🇮🇱hebrewrtl2.7×
75%
✗ broken
PARTIAL
🇸🇦arabicrtl2.5×
73%
✗ broken
PARTIAL
🇰🇷koreancjk3.8×
82%
~ fair
SUPPORTED
🇨🇳chinesecjk5.5×
48%
✗ broken
BETA
🇯🇵japanesecjk6.5×
65%
~ fair
PARTIAL
🇹🇭thaithai6.5×
42%
✗ broken
BETA
12 supported
|
5 partial
|
3 beta
|model: ggml-large-v3.bin · gpu: Apple Metal · click row for detailspress ↑↓ to filter
📋

test_methodology: macOS TTS voices → afconvert 16kHz mono → whisper-cli -m ggml-large-v3.bin -t 1 -dev 0 on Apple M5 GPU. Token multipliers calculated via BPE cl100k analysis. Accuracy tested with developer-relevant phrases (TypeScript, array sorting, error handling). Real users with native accents may get different results. We update this table as we run more tests.

Why not Superwhisper?

FeatureVoice2Agent← YOU ARE HERESuperwhisperWispr FlowmacOS Dictation
Price$5/mo$10/mo$12/moFree
100% Offline
Metal / GPU Accelerated
Large Model Fast (<1s)~10s CPU
Claude Code — NativeNATIVE
Auto → English
Token Cost Saving
Linux Support
Screenshot Attach
No SubscriptionLifetime

* Superwhisper Large model runs on CPU (~10s). Voice2Agent Large-v3 runs on Metal GPU (<1s).

Developers who switched to voice

Real feedback from the early-access community

AK
Alex K.
Senior Backend Engineer · Berlin
Backend

I was skeptical about voice-to-code, but this thing is stupid fast. Sub-second on my M2 Pro. I now dictate all my Claude prompts — saves me maybe 40 min a day.

Verified purchase
DV
Dani V.
Freelance Dev · Barcelona
Workflow

Screenshot attachment is the killer feature nobody talks about. I grab a UI mockup, paste it, and describe what I want in voice. Claude Code nails it every time.

Verified purchase
SR
Sofia R.
Indie Hacker · Remote
Multilingual

The Cyrillic support is . I think in Russian, speak in Russian, and it lands in English in Cursor. Zero friction. My typing speed was always the bottleneck.

Verified purchase
TM
Tom M.
Staff Engineer · San Francisco
Privacy

Runs 100% offline. That alone sold me — no API keys, no subscription to Whisper cloud, no data leaving my machine. The Metal GPU path is genuinely impressive.

YL
Yuki L.
ML Engineer · Tokyo
AI Coding

I pair this with OpenCode and it feels like I'm just… talking to the codebase. Bought the lifetime plan the same day I tried the trial.

Verified purchase
4.8 / 5from 5 early-access reviews

Simple pricing. No surprises.

Start free · 7-day trial · No credit card

Monthly
$5/month

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  • All Whisper models
  • Unlimited transcriptions
  • Screenshot attachments
  • Metal GPU acceleration
  • macOS + Linux
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