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

软件工具 采样预设教程软件 Windows 1.7GB

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 hereRun the transcriber by double-clicking: ▶ whisper_transcriber.pyThe transcriptions will be saved as .txt files inside: 📂 output_transcriptsThat’s all! Easy as pie.

You can choose between two Whisper AI models:Small_en – requires 2GB of VRAM, 96% accuracyLarge_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.

支持系统:Windows

文件大小:1.7GB

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