[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：

系统要求：

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:

System Requirements:

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