Creative Tools1 month ago
Gliss - Your AI Audio Agent
AI audio agent for generating songs with vocals, isolating stems, converting to MIDI, and mastering tracks.
Gliss — AI Music Agent，用于歌曲生成、翻唱、MIDI 编辑、母带处理与封面艺术；可生成免版税人声与伴奏，并支持精确分轨/元素提取。
The full gallery
Tech stack
19 projects
AI audio agent for generating songs with vocals, isolating stems, converting to MIDI, and mastering tracks.
Gliss — AI Music Agent，用于歌曲生成、翻唱、MIDI 编辑、母带处理与封面艺术；可生成免版税人声与伴奏，并支持精确分轨/元素提取。
Convert documents and e-books into audiobooks with natural-sounding narration.
@coder_zi · X
Clipifai converts e-books to audiobooks say you have a few books in mind to read, but haven't really had the time to read them, you could just convert them into audiobooks and listen to them on the go...
Mix bird calls and nature audio to create personalized white noise for sleep and focus.
zhuawadao · V2EX
做了一个*鸟鸣*主题的白噪音网站：可以模拟自然环境、还有猜鸟游戏 大家好，最近做了一个小网站：**Bird Song 鸟鸣** 地址： https://bird-song.org 它主要是一个鸟鸣主题的+自然背景音网站，适合当作专注、放松、助眠时的背景声音。 目前有几个功能： - 鸟鸣混音器：选择不同鸟类，调节音量，生成自己的自然声景 - 自然背景音：可以混入森林、小雨、海浪、春风等环境音 - 鸟类库：可以按物种浏览鸟鸣和相关介绍 - 猜鸟游戏：听声音猜是哪种鸟 我做这个网站的初衷是，平时工作或者休息时会听白噪音，但很多白噪音网站比较机械，我也没找到可以自选鸟类的白噪音网站，自己就来搞了一个，嘿嘿 截图：  
Practice whistling with real-time pitch feedback and progressive exercises.
x1shir · V2EX
HowToWhistle：像唱 KTV 一样练习吹口哨 一直想提高吹口哨技巧，搜了一圈发现网上的教程都是文字和视频，练的时候根本不知道自己吹得对不对。 想到可以像 KTV 一样，有个音轨对比，于是干脆自己搓了一个练习网站：[https://howtowhistle.org/]( https://howtowhistle.org/) 核心思路是用浏览器的麦克风做实时音高检测，你对着麦克风吹，页面会显示你当前的音高和目标音的偏差，类似 KTV 唱歌时的实时评分。功能大概有： - 实时音高反馈，能看到自己吹的是哪个音、偏高还是偏低 - 从单音长音开始的渐进式练习，到音阶、再到简单旋律 - 纯前端实现，声音不上传，无需注册 目前还比较简陋，欢迎大家试玩和提建议。
Wavelength turns your calls and meeting transcripts into a living process map as you talk. Speak the flow, watch it draw itself, then share it.
@WavelengthFlow · X
Identify sales leads on 30+ social platforms by detecting buying signals with AI scoring.
@TBerguer · X
The goal is to find theese guys 😋
Submit your AI project for human feedback or earn karma testing others.
@socialhighwy · X
Jellar is a place where builders get structured human review on AI-built and vibe-coded products, and testers earn karma reviewing real projects.