🧪 Gave veo3 im a Try – Super Cool AI Video Tool, But I’ve Got Some Questions...
Hey folks! đź‘‹
So I recently got invited to check out a new AI video platform called veo3.im—think of it like an all-in-one tool for creating short-form videos using AI. It’s got smart editing, subtitle generation, multi-language support, and even a “type your idea and get a full video” kind of thing going on.
Pretty slick stuff at first glance, and as someone who occasionally makes content but doesn’t want to live inside Premiere or Final Cut, this looked promising.
BUT... as I started digging in, I ran into some quirks—more like questions, really. And I figured, if anyone could help me reverse-engineer how some of this is actually working (or how it should work), it’s you folks here on Indie Hackers.
- AI Auto-Cutting – Can It Be Smarter About Scene Transitions?
The platform offers an “auto-cut” feature that compiles raw footage into a finished video, likely using scene boundary detection, shot boundary detection, and keyframe extraction to build a rough cut.
While this is a great start, I noticed that the transitions often feel abrupt and lack semantic continuity. It doesn’t quite “feel” like a human edit in terms of pacing or emotion.
I’m wondering:
Could it use a multi-modal transformer (e.g., VideoBERT, UniVL, Flamingo) to align vision, audio, and script simultaneously?
Is there any form of beat tracking or onset detection used to match cuts to the music tempo? Right now it seems off-beat.
Are there models that specialize in highlight detection to identify emotionally engaging moments?
- Subtitle Generation + Translation – How Accurate Can It Get?
One big value prop is automatic subtitle generation with multi-language support. The current version works, but:
Speech-to-text accuracy drops with accents or background noise;
Translations are often literal and miss context;
Sentence breaks are poorly timed, making the captions awkward to follow.
I assume it's using something like Whisper or Google Speech-to-Text, then calling a general-purpose translation API.
What I’d love to see is:
ASR post-processing with punctuation restoration;
Fine-tuned translation models (e.g., NLLB-200, MarianMT) based on the video genre;
Accurate subtitle-to-timestamp alignment and support for custom SRT/VTT exports.
Has anyone here built a modular ASR + translation pipeline? Any tools or open-source setups you’d recommend?
- Custom Video Generation by Prompt – How Far Can We Push Semantic Matching?
What I’m most excited about is their “prompt-based” video generation—just type a topic or idea, and it builds a video for you.
The current implementation feels a bit static—it uses predefined templates and basic media matching, so results can feel repetitive.
What I’m imagining instead:
Generate a script outline from a user prompt using an LLM (e.g., GPT-4);
Use CLIP-based video retrieval to match stock footage semantically;
Automatically build a timeline using template-less video assembly;
Add contextual music, AI-generated voiceover, and stylized subtitles.
The hard part: how to embed and index a massive media library for vector-based search that returns relevant assets fast? And how to structure the video in a way that feels narratively compelling?
If anyone has worked on this kind of semantic asset matching or vector video retrieval—would love to pick your brain.
TL;DR – veo3.im Is Cool, but There’s a Lot to Explore Technically
The platform clearly has potential—it’s a great fit for content creators, marketers, or indie projects that need quick, decent video content. But there are open questions around:
Smart scene detection and emotional pacing;
High-accuracy subtitle generation and multilingual support;
Prompt-driven, non-template-based video storytelling.
I’ve been thinking about how to build or improve some of this myself, but to be honest—I’m stuck. So I’m turning to the Indie Hackers community.
🤔 Some Specific Questions
Any AI tools or OSS frameworks for scene-aware video editing?
Whisper + translation: how would you structure an async, scalable backend?
Is there a better alternative to CLIP for video-level semantic matching?
If you’ve built something similar, or are working on AI + video pipelines, I’d love to hear your story or see your toolchain. Let’s chat!
💠Wrapping It Up – Love the Direction, But I’m Stuck on the Details
Overall, veo3.im is heading in a very cool direction. It’s super creator-friendly, and for anyone trying to scale video production without hiring a team—this is exciting.
That said, there are a lot of moving parts under the hood, and I’ve hit a wall on understanding how some of them really work—or how I could build something like this myself.
So if you’ve worked on:
AI-powered video pipelines
Subtitle sync and translation tools
Prompt-to-media generation
Or anything in the video tooling space…
…please drop a comment or link! Would love to learn more about your setup, what’s worked, what hasn’t, or anything open-source worth checking out.
Cheers 🙏
— A confused but curious early user
