Reactorcore Whisper Batch Transcriber (Voice-To-Text Converter) v2.0

自动将您的所有录音转换为干净、有序、整洁的文本文件。

它采用先进的语音转文本技术，完全自动化，无限制运行。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、故事叙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 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 就这样！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 显存，准确率 96% Large_v3_Turbo - 需要 6GB 显存，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，那么就推荐使用这个模型。

这两个模型都已预装在软件包中，因此您无需单独下载。

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.