生产力5 days ago
PodClip AI - YouTube Video Summarizer
用AI摘要YouTube视频和播客，保存和下载摘要及文稿。
@slaven_ra · X
- recently added subscribe to Youtube channel feature to receive auto-summaries via email on each new published video
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用AI摘要YouTube视频和播客，保存和下载摘要及文稿。
@slaven_ra · X
- recently added subscribe to Youtube channel feature to receive auto-summaries via email on each new published video
用AI从长视频自动生成短视频片段并导出为社交媒体格式。
@tryFrameOS · X
将文档和文本转成播客，支持 AI 语音生成和编辑。
Inpodcast AI — 将文档转成播客音频，支持 PDF、Word、Markdown 和 TXT 文件格式
Podwise 是播客 AI 助手，帮你理解并记住每期节目的要点。
Podwise — 专为播客听友设计的 AI 知识管理应用
使用 AI 生成的关键点快速总结播客剧集。
@andreimatei · X
从实时目录自动生成符合您日程的播客会话
@Akisin1 · X
Listen Like You Live
用AI转录音频和视频为文本和摘要
@Mahima_Akkina · X
Yes, you can check - It's a tool used to convert both and video into text and summaries
通过文字、语音和视频与他人讨论和辩论各种话题。
@nameisnotanoun · X
从《君主论》《权力法则》等书籍中提取实用建议，解决现实问题。
@lavishmehra54 · X
Not building anymore, i just launched Morasious - Turns The Most powerful book's like The Prince, 48 laws of power like books into answers for whatever you're stuck on, so instead of reading books over 100+ pages just got the core and apply in real life 🔗
将PDF转为带旁白的培训视频，使用模板和AI设计。
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
输入主题，AI在一分钟内生成完整的纪录片视频。
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
