@motyar · X

🎙️ Idea → Audio

Inpodcast AI — 将文档转成播客音频，支持 PDF、Word、Markdown 和 TXT 文件格式

@slaven_ra · X

- recently added subscribe to Youtube channel feature to receive auto-summaries via email on each new published video

u/Which-Breadfruit-926 · Reddit

Launched an AI podcast studio that competes with NotebookLM's audio overviews, here's the positioning bet I'm making (founder here) Founder here, disclosing upfront per sub rules. Most people's mental model for "AI podcast" right now is NotebookLM's Audio Overview: two hosts, a few minutes, generated from your own docs, capped by a daily limit, no easy way to publish it anywhere. PaperVoiceLab ( https://papervoicelab.com ) is built for a different job: you give it a topic (not just a docu

@andreimatei · X

@heyayankai · X

ReelsMakerAI 🎬 Create AI-powered short videos from a single idea. Curious to hear your rating and feedback! 😊

lawnmaster18 · HN

Vuci – make the spoken word searchable

@meleaai · X

👀 Content and growth its about

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

@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

@papipava · X

check it out, currently working on adding a chrome extension

@Mahima_Akkina · X

Yes, you can check - It's a tool used to convert both and video into text and summaries