[语音转文本转换器] Reactorcore Whisper Batch Transcriber (Voice-To-Text Converter) v2.0 STANDALONE [WiN]（1.97GB）

12/07/2025 | STANDALONE WiN | 1.97 GB

自动将您的所有录音转换为干净、有序、整洁的文本文件。
它采用最先进的语音转文本技术，完全自动化，不受限制。可在您的电脑上 100% 离线私密地运行。将演讲、播客、网络研讨会、独白、故事讲述和其他音频语音转换为格式化的 .txt 文件。通常每行一个句子，首字母大写，末尾以句号结尾。易于阅读。
使用方法：
将您的音频文件放入名为：📂 将您的音频文件放入此处的文件夹中。
双击运行转录器：▶ whisper_transcriber.py。
转录结果将保存为 .txt 文件，位于：📂 output_transcripts 文件夹下。
就这么简单！非常简单。
您可以在两个 Whisper AI 模型之间进行选择：
Small_en – 需要 2GB VRAM，准确率 96%；
Large_v3_Turbo – 需要 6GB VRAM，准确率 99.8%。
这两个模型的结果都非常出色。它们的速度相对接近，所以如果您的电脑性能足够强大，可以运行 Large_v3_turbo，那么就始终使用它。
这两个模型都已预先包含在软件包中，因此您无需单独下载。
安装信息：
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使用此程序前，需要安装 Python 3.10 或更新版本，以及一些脚本依赖项。您将直接从 whisper_transcriber.py 脚本文件运行该程序。
我提供了一个全自动的一次性安装程序 .exe，它将为您完成设置，以便您只需双击 .py 文件即可直接运行该程序。
之所以需要这样做，是因为我发现将这个 Python 程序编译成 exe 文件实际上会使其运行速度比直接作为脚本运行时更慢。
值得庆幸的是，系统设置非常简单，我已尽可能地简化了设置过程并提供指导。您可以在文件夹内附带的手册中找到所需的信息。

系统要求：
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此程序已在 Windows 7 上测试，需要 2GB 的存储空间，以及至少一台配备 GPU 且至少拥有 2GB VRAM（最好更大）的中端 Windows 游戏电脑。
要充分发挥此程序的潜力，需要 6GB 或更大的 GPU VRAM。
注意：程序启动速度较慢。完全加载可能需要 5-15 分钟；您首先会看到一个控制台窗口，其中包含两个警告，在此期间不会出现任何其他内容，但最终会出现欢迎屏幕。这是正常现象。

Automatically convert all of your voice recordings into clean, organized, neat text files.
It’s fully automated, unlimited, using state-of-the-art speech-to-text technology. Works 100% offline on your computer, privately. Convert speeches, podcasts, webinars, monologues, storytellings and other audio speech into a formatted .txt file. Usually it’s one sentence per line, with a capitalized first letter and period at the end. Easy to read.
How to Use:
Put your audio files into the folder called: 📂 put your audio files here
Run the transcriber by double-clicking: ▶ whisper_transcriber.py
The transcriptions will be saved as .txt files inside: 📂 output_transcripts
That’s all! Easy as pie.
You can choose between two Whisper AI models:
Small_en – requires 2GB of VRAM, 96% accuracy
Large_v3_Turbo – requires 6GB of VRAM, 99,8% accuracy
The results with both models are REALLY GOOD. They’re relatively similar in speed, so if you do have a powerful enough computer to run Large_v3_turbo, then always use that.
Both models are pre-included in the package, so you don’t have to download them separately.
Install Info:
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Before using this program, it requires having Python 3.10 or newer installed, plus a couple of script dependencies. You’ll be running the program directly from the whisper_transcriber.py script file.
I’ve included a fully automatic one-time installer .exe that’ll do the setup for you so that you’ll be able to simply double-click the .py to run the program directly from hence forth.
The reason this is necessary is because I discovered compiling this python program into an exe actually makes it work slower than it would be if it was ran directly as a script.
Thankfully its easy to set up the system and I’ve made it as hassle-free and guided as possible. You’ll find the needed info in the included Manual inside the folder.

System Requirements:
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This program was tested on Windows 7, it requires 2GB of storage space and atleast a mid-range gaming Windows PC with a GPU that has a minimum of 2GB of VRAM, preferably more.
6GB or more GPU VRAM is necessary to run this program at its full potential.
NOTE: The program is slow to start. It can take about 5-15 minutes before it fully loads up; you’ll first see a console window with two warnings and nothing else during this time but eventually the welcome screen will appear. This is normal.