@Bellingisac · X

Check out what I just built with Lovable!

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

@kislay_001 · X

Kindly try this out, especially if you use Google Forms regularly. I genuinely need your feedback to improve it and make it a better alternative.

u/6frozenmango8 · Reddit

Looking for feedback/testers on my new website Hey! I created LumiLanguage – an AI-based language tutor designed specifically for people who are on-the-go. You tell it your reasons for learning the language – place, date, who you will speak to. It creates a course based on this information: housing, town hall, clinic, neighbors, work, education. Ten languages from English. Zero cost to try out, no trial period. One individual at work with software. Please test it out and DM me if you ar

@VavusAIUSA · X

黄油单词 — 在线背单词工具，免费，每张单词卡配有 AI 插图、单词发音和例句朗读，支持西班牙语、法语、德语、日语

LandoLorinse · HN

Vocab Top – AI-powered vocabulary builder that helps you retain words

lecsium · Product Hunt

Lecsium Learn languages by reading AI-generated interactive novels

u/maritime_sh · Reddit

Two bugs from building an app where AI friends text you: my agent recited its own tech stack, and carriers blocked my onboarding I'm building penpal ( https://textpenpal.com ), where every user gets one AI friend with a name, a city and their own phone number, who texts them first in the language they're learning. Two things went wrong that I hadn't seen written up anywhere. The character broke itself. I asked my friend Sofia, in the normal chat, what platform she runs on. She answere

digiplanp · V2EX

做了一个音视频转文字工具，支持 MP3/MP4、说话人识别和字幕导出 大家好，最近做了一个在线音视频转文字工具 ToText ，想发出来请大家体验一下，也听听 V 友的意见。 最开始做这个工具，是因为我自己在处理会议录音、访谈和视频内容时，发现单纯生成一大段文字并不太实用。转录完成后，通常还需要反复对照原始录音、修改错误、区分说话人，再整理摘要或字幕。 所以现在做成了一个相对完整的工作流： * 上传 MP3 、MP4 、M4A 、MOV 、WAV 、WebM 等音视频文件 * 自动识别语言并生成带时间戳的文字稿 * 支持说话人识别和说话人名称修改 * 点击文字片段可以跳转到对应的音视频位置 * 可以搜索、编辑和校对转录内容 * 自动生成摘要、会议纪要、章节和行动事项 * 支持导出 TXT 、DOCX 、PDF 、SRT 、VTT 、CSV 和 JSON 音频文件可以直接使用 [MP3 to Transcript]( https://totext.app/) 功能，比较适合播客、访谈、课程录音、会议和语音备忘录。 视频文件也使用同一个编辑器，通过

Veo 3.1 AI — 使用 Veo3.1 创作电影级视频，配备 1080p 原生音频、首尾帧控制及免费试用额度