docs: Enhance READMEs with detailed information, download instructions, and updated screenshots, including a new privacy image.

This commit is contained in:
lml committed 2026-03-15 23:13:32 +08:00
1 parent e1b6974d8c
commit 8f5b5533a9
5 files changed
+65 -14

No files matched your search

+33 -7
View File
@@ -1,13 +1,39 @@
# Caption Trans
<p align="center"><a href="https://github.com/cddqssc/Caption-Trans"><img src="assets/images/app_icon.png" alt="Caption Trans" width="100" /></a></p>
<h3 align="center">Caption Translator</h3>
<p align="center">
<a href="https://mit-license.org/"><img src="https://img.shields.io/badge/License-MIT-blue.svg" alt="License: MIT"></a>
</p>
<p align="center">
<a href="README.md"><img alt="English" src="https://img.shields.io/badge/English-d9d9d9"></a>
<a href="README_zh.md"><img alt="中文(简体)" src="https://img.shields.io/badge/中文(简体)-d9d9d9"></a>
</p>
[中文版](README_zh.md)
# What is Caption Trans?
Import videos, extract subtitles, and use AI to translate them into the target language.
Supports: Google Gemini (tested), OpenAI, DeepSeek, Ollama, and other OpenAI-compatible API services.
## App Screenshot
![App Screenshot](screenshots/screenshot_en.jpg)
# Download
Supports macOS (Apple Silicon) and Windows.
A one-stop video subtitle translation tool. It extracts subtitles locally using Whisper and accurately translates them into the target language using LLM.
Currently, it supports OpenAI, Google Gemini, DeepSeek, Ollama, and other API services compatible with the OpenAI interface.
Please go to [Releases](https://github.com/cddqssc/Caption-Trans/releases) to download.
## License
## ⚠️ How to open on macOS
1. Double-click the app. It will be blocked by the system because it has not been signed with an Apple developer certificate.
2. Go to **System Settings** > **Privacy & Security**.
3. Scroll down to the Security section and click **"Open Anyway"** next to the app's block message.
4. Enter your Mac password and click **"Open"**.
*(You only need to do this once.)*
# App Screenshot
<img src="screenshots/screenshot_en.jpg" alt="App Screenshot" width="500">
# Tips
Currently, only the Gemini API has been tested. **gemini-2.5-flash-lite** is recommended.
It balances speed and quality, and the price is relatively low. It can also translate sensitive content.
For models above Gemini 3, translating sensitive content may return an empty result, and the price is higher.
# License
[MIT License](LICENSE)
+32 -7
View File
@@ -1,13 +1,38 @@
# Caption Trans
<p align="center"><a href="https://github.com/cddqssc/Caption-Trans"><img src="assets/images/app_icon.png" alt="Caption Trans" width="100" /></a></p>
<h3 align="center">Caption Translator</h3>
<p align="center">
<a href="https://mit-license.org/"><img src="https://img.shields.io/badge/License-MIT-blue.svg" alt="License: MIT"></a>
</p>
<p align="center">
<a href="README.md"><img alt="English" src="https://img.shields.io/badge/English-d9d9d9"></a>
<a href="README_zh.md"><img alt="中文(简体)" src="https://img.shields.io/badge/中文(简体)-d9d9d9"></a>
</p>
[English Version](README.md)
# 什么是 Caption Trans?
导入视频,提取视频字幕,使用 AI 翻译字幕为目标语言。
支持:Google Gemini(已测试)、OpenAI、DeepSeek、Ollama 等兼容 OpenAI 的 API 服务。
## 应用截图
![应用截图](screenshots/screenshot_zh.jpg)
# 下载
支持 macOS(M系列芯片)和 Windows。
一站式视频字幕翻译软件。通过本地 Whisper 提取字幕,并使用 AI 将其准确翻译为目标语言。
目前支持OpenAI、Google Gemini、DeepSeek、Ollama 等兼容 OpenAI 的 API 服务。
请到 [Releases](https://github.com/cddqssc/Caption-Trans/releases) 下载。
## 开源协议
## ⚠️ 如何在 macOS 上正常打开应用
1. 双击打开应用,由于目前尚未配置 Apple 开发者证书,会被系统拦截。
2. 进入 Mac 的 **系统设置** > **隐私与安全性**。
3. 向下滚动,在“安全性”板块找到拦截提示,点击旁边的**“仍要打开”**。
4. 验证 Mac 密码后,在最终弹窗中点击**“打开”**即可。
*(此操作仅需执行一次,后续可直接双击运行。)*
# 应用截图
<img src="screenshots/screenshot_zh.jpg" alt="应用截图" width="500">
# 使用心得
目前仅测试了 gemini api,推荐使用**gemini-2.5-flash-lite**。
它能兼顾速度和质量,价格也比较便宜。并且能翻译敏感内容。
gemini-3 以上的模型,翻译敏感内容会返回空,价格也比较贵。
# 开源协议
[MIT License](LICENSE)
Binary file not shown.

After

Width:  |  Height:  |  Size: 87 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 825 KiB

After

Width:  |  Height:  |  Size: 876 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 795 KiB

After

Width:  |  Height:  |  Size: 797 KiB