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Source channel @githubtrending · Post #15421 · Jan 18

#python#audio#deeplearning#minicpm#python#pytorch#speech#speech_synthesis#text_to_speech#tts#tts_model#voice_cloning VoxCPM is a free, open-source TTS tool that turns text into realistic speech without tokens, creating expressive audio that matches context and clones voices perfectly from just 3-10 seconds of sample. Download VoxCPM1.5 (800M params) from Hugging Face, install via pip, and use simple Python or CLI commands for fast synthesis (RTF 0.15 on RTX 4090) or fine-tuning your own voices. You benefit by easily making natural audiobooks, podcasts, clones, or apps with pro-quality sound—saving time and costs on voice work. https://github.com/OpenBMB/VoxCPM

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@JianjiaoPD · Post #10264 · 01/13/2026, 08:50 AM

✈️ConvertX | 把 FFmpeg、Pandoc、ImageMagick 打包成一套万能格式转换工具箱 🏷 检索标签:#ConvertX#格式转换#Docker#FFmpeg#Pandoc ⭐️ 详情介绍:ConvertX 是一个开源的自托管文件格式转换服务,它把转换能力搬到你自己的服务器上跑,最大价值就是省心+隐私可控,适合经常处理各种文件、又不想把资料交给第三方的人 亮点在于它集成了 FFmpeg、ImageMagick、Pandoc 等共 18 种专业转换工具,覆盖图片、视频、文档、电子书甚至 3D 模型等类型,同时支持批量转换、多账户管理和密码保护,并且 Docker 一条命令就能起服务! 📖GitHub · ConvertX 😌频道 |🙂群聊 |😋中文包 |☺️搜索

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@githubtrending · Post #14827 · 06/12/2025, 01:30 PM

#typescript#desktop#docx#electron#html#languages#libreoffice#linux#macos#markdown#nodejs#office#offline#pandoc#pdf#productivity#windows#zettlr Zettlr is a free, open-source app that helps you write, organize, and publish your notes and documents using simple Markdown files. It works on Windows, macOS, and Linux, and lets you manage your notes with features like workspaces, tags, and powerful search, so you can quickly find what you need. Zettlr supports easy citations with reference managers like Zotero, offers code highlighting, dark mode, and flexible export options to PDF, Word, or LaTeX, making it ideal for students, researchers, and writers who want a privacy-focused, distraction-free way to work with their ideas and publish their work[1][3][5]. The benefit is that you can focus on your content, not formatting, and easily turn your notes into professional documents. https://github.com/Zettlr/Zettlr