This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
VisaPicGo
Compliant passport photos from a selfie — 100% private
Hi PH! I'm a CV engineer who got tired of paying $17 at CVS for a passport photo.
So I built the whole pipeline — face detection, background removal, spec-exact
cropping — to run entirely in your browser. No upload, no server, no privacy
tradeoff. We support US passport/visa/DV lottery specs at launch, with UK,
Canada, Australia, Schengen and China spec guides on the site.
Happy to answer anything about the tech (MediaPipe + ISNet in WASM) or the
compliance rules. Roast away!
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About VisaPicGo on Product Hunt
“Compliant passport photos from a selfie — 100% private”
VisaPicGo was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #70 on the daily leaderboard. Turn any phone selfie into a compliant US passport, visa, or Green Card photo in 2 minutes. Guaranteed acceptance or full refund.
VisaPicGo was featured in SaaS (44.9k followers), Photography (143.5k followers) and Artificial Intelligence (481.7k followers) on Product Hunt. Together, these topics include over 204.8k products, making this a competitive space to launch in.
Who hunted VisaPicGo?
VisaPicGo was hunted by Daoheng Liu. 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 VisaPicGo stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Daoheng Liu