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MICT
Create short AI videos from text or images in one studio
MICT helps creators turn prompts or reference images into 3–15 second AI video clips. Choose Wan 2.6 or Kling 3.0, control duration, resolution, and aspect ratio, see the credit cost before generation, and download the result from one workspace.
Hi Product Hunt 👋
We built MICT to make short-form AI video testing less fragmented. Instead of opening a different product for every model and relearning its controls, creators can start with a prompt or reference image, choose Wan 2.6 or Kling 3.0, and work with the supported duration, resolution, and aspect-ratio options in one Studio.
This launch focuses on a narrow job: creating 3–15 second visual clips for concepting, social assets, product shots, and storyboards. MICT is not a finished-video editor—it does not currently add scripts, captions, voiceovers, edit long videos, or publish directly to social platforms. That boundary is intentional.
I would especially value feedback on three things:
1. Which model controls feel essential before you generate?
2. Is the upfront credit estimate clear enough?
3. Where does the first-generation flow feel slow or confusing?
New users currently receive 20 starting credits, so you can test the workflow before deciding whether it fits your process. Thanks for taking a look.
About MICT on Product Hunt
“Create short AI videos from text or images in one studio”
MICT was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #157 on the daily leaderboard. MICT helps creators turn prompts or reference images into 3–15 second AI video clips. Choose Wan 2.6 or Kling 3.0, control duration, resolution, and aspect ratio, see the credit cost before generation, and download the result from one workspace.
On the analytics side, MICT competes within Design Tools, Artificial Intelligence and Video — topics that collectively have 739.6k followers on Product Hunt. The dashboard above tracks how MICT performed against the three products that launched closest to it on the same day.
Who hunted MICT?
MICT was hunted by qing lu. 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.
For a complete overview of MICT including community comment highlights and product details, visit the product overview.
qing lu