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).
Filemorph
Convert and edit 300+ file types on-device. No uploads, ever
Convert, edit and compress 80+ file formats on iPhone & iPad — 100% on-device. HEIC to JPG, merge PDF, compress video, AI photo enhancer. No uploads, works offline.
Convert, edit, and AI-enhance files entirely on your iPhone, iPad, or Mac. 300+ operations, 80+ formats - PDF , video, audio, images, archives. AI upscaling, Face restore, colorize — all on-device Core ML. No accounts, no servers, works in airplane mode.
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About Filemorph on Product Hunt
“Convert and edit 300+ file types on-device. No uploads, ever”
Filemorph was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #27 on the daily leaderboard. Convert, edit and compress 80+ file formats on iPhone & iPad — 100% on-device. HEIC to JPG, merge PDF, compress video, AI photo enhancer. No uploads, works offline.
Filemorph was featured in iOS (110.7k followers), Productivity (659.7k followers) and Privacy (11.3k followers) on Product Hunt. Together, these topics include over 205k products, making this a competitive space to launch in.
Who hunted Filemorph?
Filemorph was hunted by Bagrat Danielyan. 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 Filemorph stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Bagrat Danielyan