@motyar · X

🎙️ Idea → Audio

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

@VantLaunch · X

@BMartelee · X

AI Community Manager

u/Any_Philosopher_4260 · Reddit

I built a private AI voice companion — no data selling, no ads Hearth is an AI voice companion that's actually private — talk to it, it listens, nothing gets sold or used to train ads. Free trial, $19/mo Founding Member if you want in early. Would love feedback. https://hearth.lock28.com submitted by /u/Any_Philosopher_4260 to r/SideProject [link] [comments]

@alexseinpcof · X

Hey check and tell me How to I improve this project...

idealume · Product Hunt

Voxonate — Parametric AI Voice Studio Craft unique AI voices with TTS and DSP based design studio.

@Tracy_Keogh · X

u/Affectionate_Hat_585 · Reddit

Building smallest neural Text to speech system that runs on microcontroller cheaper than cup of coffee : 30 voices, 16 languages Most TTS is a cloud API call or a multi-gigabyte model. I wanted the opposite — the smallest, most honest neural TTS I could make, small enough to run somewhere with no server at all: a microcontroller, a browser tab, whatever you've already got. What it turned into: sanoTTS, 30 trained voices across 16 languages, ranging from 294,642 parameters (337

@bydigiwares · X

littlepp · HN

Speech Generation – Free text-to-speech in 18 languages

@devchaos_ · X