Productivity2 months ago
Vuci — the search engine for spoken ideas
Search podcast content by exact word and timestamp, save clips, and track brand mentions.
lawnmaster18 · HN
Vuci – make the spoken word searchable
The full gallery
Tech stack
38 projects
Search podcast content by exact word and timestamp, save clips, and track brand mentions.
lawnmaster18 · HN
Vuci – make the spoken word searchable
Conduct AI-powered voice, chat, and video interviews with automated transcripts and insights.
Aural — 开源 AI 面试平台，支持语音、聊天和视频面试，提供自适应追问、结构化评分、面试练习与自托管 - [查看仓库](https://github.com/1146345502/aural-oss)
AI audio editor and music generator for editing, shortening, and creating music from text or audio files.
audjust.ai — 智能音频编辑与 AI 音乐生成工具，帮助处理音频文件（智能缩短歌曲、延长音频、寻找完美无缝循环）并从文字描述、歌词或图片生成完整音乐轨道。支持多种风格，内置 MIDI 编辑器、音轨分离、Lo-fi 转换等专业工具。
Transcribe audio files to text instantly with AI, no signup required.
音频转文字工具 — AI 音频转文字，快速、精准、安全的转写服务
Copy curated prompts for AI image, video, and audio generation.
weijunext · HN
Free, curated prompts for AI image, video and music
Convert documents and text into podcast audio with AI voice generation and editing.
Inpodcast AI — 将文档转成播客音频，支持 PDF、Word、Markdown 和 TXT 文件格式
Generate 60-second podcast clips with AI hosts on any topic instantly.
samiam4238 · HN
Turn any topic into a 60-second 3-host AI podcast (no signup)
Convert audio and video files to text with speaker labels and timestamps, no signup required.
zxhywork · V2EX
SayScribe AI - 音频转文字的在线工具 花了几周搞了一个基于 OpenAI Whisper 的 AI 转录工具 **[SayScribe]( https://sayscribe.org)**，目前 5 个工具全部免费，每天 3 次无需注册。上线前请 SEO 专家做了一轮诊断，踩了不少坑，分享出来给同样在做工具站的 V 友参考。 --- ## 做了什么 核心工具是 **[Audio to Text Converter]( https://sayscribe.org)**（主页），上传音频/视频文件，AI 自动转成带 speaker labels 和时间戳的文字稿。选这个词的原因是：Google 第一页有个 DR 只有 10 的小站排第三，KD 才 20.2 ，链接预算只要 15-35 个引用域就能进前十——典型的弱盘面蓝海。 然后在主页基础上拆了 4 个子工具，每个打一个独立搜索词： - **[MP3 to Text]( https://sayscribe.org/mp3-to-text)** — 只转 MP3 。KD 41.7 比主页难一些，但
Upload a car video and music track to generate beat-synced vertical edits automatically.
u/Jonathanproductions · Reddit
We built a tool that automatically edits car videos to phonk beats... here's what it makes We've been building MACHCUT for the past few months. Drop in raw car footage and a phonk track and it produces a beat-synchronized vertical edit automatically. Python engine, not generative AI. Your real footage, automated cutting. The engine runs on A100 GPUs, uses YOLO to pick the best clips from your footage, locks cuts to the beat drop, and outputs vertical 1080p or 4K in about 6 min
The easiest way to get copyright-free music from real artists for videos. Trusted by 1M+ creators, free to use, and better music than any production library ✌️
@audreymarshall · X
Photograph artwork in a gallery to get AI-identified details, audio guides, and museum information.
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
Cross-platform podcast analytics and affiliate reporting dashboard for creators.
@thepaulwakim · X
I've been building the companion creator platform for my podcast app @PodSipsApp . I built the creators platform for 2 reasons: 1. To help podcasters gather all of a show's data in one place. RSS downloads come through an RSS prefix server I built and all your stats from YouTube and Spotify. 2. To give that aggregate data to AI agents, whether that is Codex, Claude Code, Hermes, OpenClaw, or whatever else you use. The agent Skill file and API, and API docs on the platform work together to give your agent access to all your show's data in one place. It can answer questions about how the show is doing, build custom data visualizations, work those visualizations into a sponsorship deck, or do anything else you want done with your data. The API also surfaces anonymized summaries of what listeners are asking PodSips about while they listen to your episodes. You get to see which moments people wanted explained and which topics they wanted more of. Podcasters can sign