
Cliponaut — Video editing, simplified by AI
Edit videos by describing what you want. No timelines. No complexity.
@uxayaan · X
Building Cliponaut - ChatGPT for video editing
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22 projects

Edit videos by describing what you want. No timelines. No complexity.
@uxayaan · X
Building Cliponaut - ChatGPT for video editing

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

Generate 30-second 4K videos from text prompts with optional reference inputs.
Seedance 2.5 — 字节跳动推出的 AI 视频生成器,输入提示词生成原生 4K 画质、时长达 30 秒的视频,支持最多 50 个参考输入,免费使用

Type a topic to generate a finished documentary video in under a minute using AI.
pw · HN
Hiya! So I've been playing around with having Claude make videos for a bit now even had some success posting the results to TikTok (and setup a whole pipeline so Claude can generate and post autonomously). With the release of Nano Banana 2 Lite, I was curious show fast I could make the generation, so last night I gave it a whirl and got down to around 30s for short-form video. It uses GLM-5.2 fast via Fireworks to generate the scripts and image prompts and, like I said, Nano Banana 2 Lite for the images, gpt-4o-mini-tts for the narration, and ffmpeg to string it all together and add the Ken Burns zoom effect (which still has a shake I haven't been able to get rid of). The video compilation proved to be the blocker once the rest was in place, but I was able to speed that up by putting it on a 64 vCPU EC2. The cost might be the most interesting aspect as the short form videos tend to be about 25 cents. Almost 90% of that is the images, which are 3.336 cents a piece. Of course, running

Browser-based tools for video and audio compression, cropping, merging, and conversion without uploading files.
zhw2590582 · V2EX
最近对网站进行了重构,做成了免费的视频工具站:[ArtPlayer Tools]( https://artplayer.org/tools/) 主要是围绕着 ffmpeg.wasm 和 mediabunny 实现的一些可以直接在浏览器里用的视频/音频工具,常用的有: - 视频压缩:[Compress Video]( https://artplayer.org/compress-video/) - 视频裁剪:[Crop Video]( https://artplayer.org/crop-video/) - 视频合并:[Merge Video]( https://artplayer.org/merge-video/) - 视频尺寸调整:[Resize Video]( https://artplayer.org/resize-video/) - 视频旋转:[Rotate Video]( https://artplayer.org/rotate-video/) - 视频调速:[Change Video Speed]( https://artplayer.org/change-video-speed/) - 添加文字到视频:[Add Text to Video]( https://artplayer.org/add-text-to-video/) - 添加水印:[Watermark Video]( https://artplayer.org/watermark-video/) - 提取字幕:[Subtitle Editor]( https://artplayer.org/subtitle-editor/) - HLS 转 MP4:[HLS to MP4]( https://artplayer.org/hls-to-mp4/) - 音频可视化:[Audio Visualizer]( https://artplayer.org/audio-visualizer/) 大部分工具都是本地处理,文件不会上传到服务器。最开始是因为自己偶尔要处理一些视频,开剪辑软件又有点重,在线工具又担心隐私,所以就慢慢做成了一个站。 目前还在持续完善,体验肯定还有不少粗糙的地方,比如不同浏览器的兼容、移动端操作、长视频性能之类的。 网站: [ArtPlayer Tools]( https:

Create narrated training videos from PDFs and documents using AI-generated slide decks.
u/No-Tap6993 · Reddit
I built a slide deck video builder Most AI generated visual can look like slop. I built a slide deck video builder for training content. It generates beautiful slide decks from 18 templates, adds voice over, allows post editing, and finally export to mp4. Check it out at https://inkbolt.ai and let me know what you think! I have to give a shout out to this repo for inspiring how to do design properly with AI. https://github.com/zarazhangrui/frontend-slides submitted b

Summarize YouTube videos and podcasts with AI, saving and downloading summaries and transcripts.
@slaven_ra · X
- recently added subscribe to Youtube channel feature to receive auto-summaries via email on each new published video

Paste a YouTube URL and get an instant AI summary with key takeaways and timestamps.
@papipava · X
check it out, currently working on adding a chrome extension

Turn YouTube videos, PDFs, and URLs into Anki flashcard decks in seconds.
u/holios89 · Reddit
Built an AI SaaS that turns your notes/articles/PDFs into study flashcards — looking for harsh feedback (and bugs) Hey folks, Solo/small side project here: Deckly ( deckly.one ) — an AI-powered flashcard generator for spaced-repetition learning (Anki-compatible export). You give it text, a PDF, or an article link, it generates a deck of flashcards (Q&A, Cloze, or multiple choice), optionally with TTS audio and images per card, and you can study it right in the browser or export to `.apkg`.

Search YouTube channel transcripts to research content and build fair-use clips.
@johncalvo · X
Built an entire YouTube research platform with @AnthropicAI Claude Code. a YouTube research tool that treats entire channels as a searchable transcript database rather than individual videos. Any YouTube channel. Every word. Fully searchable. Track how topics trend, peak, and evolve across hundreds of videos. Researching what someone said on YouTube means watching hours of footage and hoping you find it. ChannelScout extracts full transcripts from any channel, makes every word instantly searchable, and tracks how topics trend over time, without watching a single video manually. Paste a YouTube channel or playlist URL and it transcribes and indexes every transcript. Follow multiple channels and they all land in one private library. New videos on followed channels are auto-transcribed and added to your library the day they publish. Beyond YouTube it accepts any yt-dlp-supported URL including Vimeo, TED, and SoundCloud, and you can upload local files directly

Chrome extension that uses AI to organize YouTube videos into playlists.
@almalimir · X
– a @YouTube extension for organizing videos

Create presentation slides from plain text and broadcast live to phones in the room in 30 seconds.
@danielberigoi · X
Type plain text, get a clean deck in 30 seconds, broadcast it live to every phone in the room