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Velo 3.0

AI video infrastructure to explain, train, and sell faster.

Productivity
Sales
Video
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Hunted byRohan ChaubeyRohan Chaubey

Velo 3.0 is here, our third and biggest launch yet. Start with a screen recording or a prompt. Describe the video you need, and Velo writes the script, narrates it in your own voice, and builds the finished cut. It stays grounded in your company knowledge, from your docs and tools you connect through connectors and MCP. Edit by typing changes. Localize the finished video into 25+ languages in one click. Recording or prompt, Velo turns either into a polished video you can ship anywhere.

Top comment

Hi Product Hunt! 👋

I'm Ajay, CTO and co-founder of Velo.

When we started building Velo, we thought the challenge was making it easier to create work videos.

As we worked with more teams, we realized that wasn't the real bottleneck.

The hardest part wasn't creating the video, it was finding the right knowledge to put into it.

The context behind every product demo, onboarding guide, support reply, or training video already exists somewhere. It's just scattered across docs, help centers, Slack, Teams, tickets, and conversations.

That's what led us to build Velo 3.0

✨ What's new:

  • Simply describe what you want to explain and Velo finds the right company knowledge, grounds itself in that context and turns it into a polished video

  • We taught every Velo to speak 37 languages, so the same explanation can reach teams and customers anywhere

This launch is a big step toward what we believe the future of workplace video looks like: not just creating videos faster, but making company knowledge instantly explainable.

We're excited to hear what you think, answer your questions, and learn from your feedback throughout the day. Thanks for stopping by! 🚀

Try for free: usevelo.ai

Comment highlights

@ajaykumar1018 Congratulations. And happy product launch.

25+ language localization in one click is a big claim for anything beyond subtitle translation, actual localization involves adapting examples, idioms, and sometimes visuals for cultural context, not just converting words. Is Velo doing translation of the narration and auto-generating a new voice track in the target language, or is "localization" scoped more narrowly to subtitles and dubbed audio with the same English-context script underneath?

Looks cool.

I would like to try this tool and I wonder what kind of video it will produce based on my screen recording.

@ajaykumar1018 that's great, didn't realize it was conversational rather than a toggle. so if I just say "keep the same voice but make it more casual" it'll understand that distinction and not just regenerate from scratch? curious how much steering room there is before it just gives you a totally different cut

Congrats on the launch!

Finding the right company knowledge and turning it into easy digestable content, is amazing!
I have build a quick demo for your app, with my open-source tool, feel free to check it out

https://app.livedemo.ai/livedemos/6a58305f311c044e916e3d3d

I like the idea. One thing I'm curious about is how Velo performs when a company's documentation is messy or outdated. .

this is a nice angle on the explainer video problem, most tools make you write the script yourself and then just narrate it. one thing I'm curious about - if I regenerate the same video a week later after tweaking a connector, does it keep the same voice/pacing/avatar so it still feels like the same "presenter," or can regenerating shift the style enough that it feels like a different video?

I wonder how well it preserves the quality. Most apps like this tend to degrade it quite a bit?

The narrate-in-your-own-voice piece is what sells it for me. I keep putting off demo videos for my app because re-recording VO every time I tweak a feature is such a slog. Curious how the cloned voice holds up over a longer script, and whether the localized versions keep your actual voice or swap to a synthetic one per language?

Congrats on the launch. The knowledge-grounding angle is the most interesting part to me, especially when the final output is narrated in someone’s own voice. How do you handle review and traceability before a video is published? For example, can a user see which source docs shaped a claim, or flag places where the source material disagrees?

I love the idea of grounding videos in company knowledge but documentation changes so fast. When I update a doc in one of the connected tools or through an MCP connector does Velo flag which videos are now out of date? and if there's a way to bulk update existing narrations without starting the prompt process from scratch every time.

Congrats on the launch! When the same topic has conflicting info across sources, like an old Slack thread versus a current doc, how does Velo decide which one to trust when grounding the video?

Nice! Was the product demo created using Velo? ;D

So based on my understanding the input is context and the output is any kind of video, not just product demos but explanatory video for new joiners in a company, to social media content, etc. But what is the quality of the editing and because for explainer videos it can be a generic template format that can apply to any kind of videos but when it comes to product demo or social media content taste and quality and differentiation matter more than just the product voice, as it should not look and feel generic when it comes to such thing. I hope am making my point clear, just curious to know.

This is super cool! My only question is how accurate the voice cloning in and what the use cases are. Would I prompt Velo and they'd be able to clone my voice regardless of the context? Other than that I think this is gonna be super important in any workflow. Nice job!

Nice work on Velo. Turning raw screen recordings into something polished without manual editing is a real time-saver for anyone doing product demos or sales outreach. Curious how the AI handles pacing and trimming on longer recordings: does it know when to cut dead air automatically, or is that still something you tune manually? Excited to see where the voice cloning improvements land too.

About Velo 3.0 on Product Hunt

AI video infrastructure to explain, train, and sell faster.

Velo 3.0 launched on Product Hunt on July 15th, 2026 and earned 647 upvotes and 150 comments, earning #2 Product of the Day. Velo 3.0 is here, our third and biggest launch yet. Start with a screen recording or a prompt. Describe the video you need, and Velo writes the script, narrates it in your own voice, and builds the finished cut. It stays grounded in your company knowledge, from your docs and tools you connect through connectors and MCP. Edit by typing changes. Localize the finished video into 25+ languages in one click. Recording or prompt, Velo turns either into a polished video you can ship anywhere.

Velo 3.0 was featured in Productivity (656.2k followers), Sales (21.9k followers) and Video (1.9k followers) on Product Hunt. Together, these topics include over 161.3k products, making this a competitive space to launch in.

Who hunted Velo 3.0?

Velo 3.0 was hunted by Rohan Chaubey. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

Want to see how Velo 3.0 stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.