Hands free coding.

You've got multiple AI agents running across your terminals. Every second you spend typing a prompt is a second they're not working. Talk instead. Your voice becomes text at 155x real-time — faster than you can finish the sentence.

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$ cat THE_PROBLEM.md

Typing prompts is a bottleneck

AI coding agents are fast. You're the slow part.

When you're running Claude Code across multiple terminals, the rhythm is everything. Fire off a task, switch to the next terminal, give it context, send it, check on the first one. The more time your agents spend working, the more you ship.

But every time you stop to type a prompt, you break that rhythm. You lose the thought. You simplify what you were going to say because typing it all out takes too long. Your agents get worse input, and you get worse output.

Voice fixes this. You can give longer, more nuanced prompts because talking is natural. More context, more chain-of-thought, more of the detail that makes LLMs actually useful.

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$ cat WORKFLOW.md

How it works

Step 01

Open your terminals

You've got 3-5 Claude Code sessions running. Each one is working on a different part of the codebase. Context switching is constant.

Step 02

Just start talking

No keyboard shortcut. No button press. Blazing Transcribe is always listening. Focus a terminal and speak your prompt — the text appears instantly.

Step 03

Send it, move on

Hit enter. Your agent starts working. Switch to the next terminal and talk to that one. The more time your agents spend working, the more you get done.

Step 04

Stay in flow

No context switching to a voice app. No waiting for transcription. No correcting errors. Just a continuous loop of talking, sending, and moving to the next thing.

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$ diff keyboard.md voice.md

Why voice beats typing

	Typing prompts	Talking with Blazing
Speed	~40 WPM average	~150 WPM natural speech
Context given	Shortened, simplified	Natural, detailed, nuanced
Flow state	Broken every prompt	Continuous
Multi-terminal	Slow context switching	Talk, send, switch, repeat
LLM output quality	Limited by prompt effort	Better prompts = better results

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$ cat WHY_BLAZING.md

Built for this workflow

Most voice tools need you to press a button, wait for a UI, then paste the result somewhere. That's not hands-free — that's just typing with extra steps.

Blazing Transcribe runs in always-listening mode. It detects when you're speaking and transcribes directly into whatever app is focused — your terminal, your editor, your chat window. No buttons. No clipboard. No context switch.

It runs 100% on-device via Apple Neural Engine. That means no cloud latency, no API limits, and your code context never leaves your machine.

Speed over perfect accuracy. In this workflow, a few missed words don't matter — the LLM understands you anyway. What matters is that you can fire off a thought the moment you have it.

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155xReal-time speed

0Buttons to press

100%On-device

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Your agents are waiting for instructions. Stop typing them and start talking. Download Blazing Transcribe and try hands-free coding for yourself.

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