aiyoubucuoyou

aiyoubucuoyou / voice-to-text-tools

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在线音视频转文字工具，支持自动分段、长音频处理，基于讯飞语音听写 API，纯前端实现，无需后端服务器。

zhuan.dlidli.wang
12
3
100% credibility
Found May 07, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

A browser-based tool for converting audio and video files into text with automatic splitting for long content, using a user-provided speech recognition service.

How It Works

1
🔍 Discover the tool

You hear about a handy free tool that turns your audio recordings or videos into written text, perfect for lectures or interviews.

2
Choose your way to start
🌐
Try online demo

Jump straight to the ready-to-use web page with one click.

💻
Run on your computer

Open the files on your own machine for private use.

3
🔑 Connect speech service

Enter a few details from a free speech-to-text service so it can understand your audio.

4
📤 Upload your file

Drag or select your audio or video file, and it gets ready to process.

5
✨ Magic happens

The tool smartly breaks long files into pieces and turns speech into readable text before your eyes.

✅ Get your text

Copy or download the full transcript, all done privately on your device.

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AI-Generated Review

What is voice-to-text-tools?

This HTML-based web app converts audio and video files to text transcripts directly in the browser, using the iFlytek speech-to-text API over WebSocket. It handles long files by auto-segmenting them with FFmpeg in WebAssembly, solving the hassle of server setup for voice to text tools. Users upload files, add their free API keys once (stored locally), and get editable text output—no backend required.

Why is it gaining traction?

It stands out as a pure frontend voice to text transcription tool that's privacy-focused, with keys never leaving your browser, unlike cloud-heavy alternatives. The free daily quota of 500 API calls from iFlytek makes it a no-cost entry for tools to convert voice to text, and one-click deploys to GitHub Pages via api github repo settings beat pro tools voice to text setups. Developers dig the zero-server hook for quick prototypes.

Who should use this?

Podcasters transcribing episodes, journalists handling interview audio, or frontend devs building static sites with voice to text ai tools free. It's ideal for Windows users wanting voice to text tools without installs, or anyone testing speech APIs before scaling to api github enterprise limits.

Verdict

Grab it for lightweight, free voice to text needs—solid docs and MIT license make it forkable despite 12 stars and 1.0% credibility score signaling early maturity. Test locally via simple HTTP servers before production; lacks tests but shines for personal hacks.

(187 words)

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