@torgimaOS · X

Voice to any document in 30 seconds

Voice Clone - AI 驱动的语音克隆平台 — 用户只需录制或上传一段音频，系统便能在几秒内生成一个属于用户自己的声音模型。支持任意文本的语音生成，听起来自然流畅，几乎接近真人语音。整个流程无需复杂设备，也不需要技术背景，真正实现“用几句话训练出自己的声音” - [GitHub 仓库](https://github.com/tanchaowen84/voice-clone)

Voor AI — 浏览器端 AI 创作平台，支持视频、图片和音频生成、编辑与工作流协作，统一管理共享积分

@StilThinkng · X

Tired of repeating the same context across ChatGPT, Claude, and Grok? SoulBots builds a privacy-first memory that grows with you across AI. Looking for early testers.

nadermx · HN

NoiseRemover.ai – Remove background noise from audio

Inpodcast AI — 将文档转成播客音频，支持 PDF、Word、Markdown 和 TXT 文件格式

u/Express-Priority6798 · Reddit

One among many. How to stand out in a crowded emerging field In my view, and from what I've read as responses to many projects on this sub, the view of many more, is that AI slop is an issue. I think it's gross and obvious, and I think anyone paying attention to this field can recognize the telltale signs immediately. Just scrolling down this sub is a great example, with so many of the titles and intro written in a nearly identical voice. Of course I understand and appreciate the irony in try

Synthesizer Flow — 浏览器端模块化合成器，通过可视化节点和连线搭建音频工作流，支持实时声音合成、MIDI 音序及 AI Agent 辅助修改工程

victords · HN

I was interested in learning more about reverse image search, so I built audioguide.london. It’s a simple image search where you take a photo of an artwork in a gallery, tries to ID it and returns a pre-generated audio and a link to the museum website. The audios were all generated locally, essentially looking at the contents of the website, running it through a LLM to generate a script and Kokoro for TTS. I’ve built it as an app for myself almost a year ago, so I deployed it as a vibe coded web

Veo 3 AI — Veo 3 AI 视频生成

@polycontext · X

Context-aware localization for apps, games, and software.

Image Translate AI — AI 图片翻译软件，翻译 70 多种语言的图片文本，专为专业人士，电商商家打造。保持图片原始布局，扩大全球影响力，并简化本地化流程