Zipladin
Your travel photos with voice memories
75 followers
Your travel photos with voice memories
75 followers
Zipladin is a mobile gallery app that makes it super easy to record voice into photos - embedded permanently in the image file itself. Tap any photo, record audio of any length, and it stays forever. Back up your voice photos to your computer to preserve them. Most gallery apps just organize. Most voice apps store audio separately. Zipladin embeds your voice into the image permanently. Export as video to share. Free, no ads, no subscription.
The Istanbul backstory gets it exactly right — travel photos are great at capturing what something looked like, and terrible at capturing what you were thinking or feeling at the time. The detail that kills me is "I'd forgotten." Embedding in the file itself rather than a separate database is the right architectural call: the memory stays with the image no matter what happens to the app. Does it work retroactively on photos you've already taken, or is it capture-forward only?
Zipladin
@giammb Thanks so much! You nailed exactly why I built this.
Yes, it works retroactively! You can browse your entire existing photo library in Zipladin and add voice to any photo - past or present. So all those silent travel photos you already have? You can go back and add context while you still remember the stories.
I actually do this myself - going through old trips and recording what I remember before those memories fade completely. It's bittersweet but better than losing them entirely.
The only catch is you need to remember the story to record it. But yes, you can absolutely go back and add voice to existing photos anytime.
@bigo_daddy That's the feature that unlocks the real value — retroactive means all those silent photos from Istanbul, Kyoto, wherever already qualify. Good luck with the launch!
This is lovely! When I was creative director, I remember having to take photos and make separate voice recordings of changes I'd want to later apply, edits I wanted my team to make, etc. This would have made my life so much easier!
A search/transcription to easily find photos by speech would be perfect. That way users can also search for photos by what they remember saying, or feeling. Congrats on the launch
Zipladin
@jacklyn_i Thank you! That's a use case I hadn't fully considered - creative workflows and team collaboration. Makes total sense - capturing quick verbal notes about edits or changes right on the photo itself.
Search/transcription is definitely on the roadmap. I've been experimenting with it, and you're right - being able to search photos by "what did I say about" would be powerful.
Really appreciate the feedback and congrats!
Embedding audio directly in the image file is clever. So many travel memories lose context over time, and a voice note captures way more emotion than a caption. How does the audio embedding work technically? Is it stored in EXIF metadata, or a custom container?
Zipladin
Hey Product Hunt! 👋
Thanks for checking out Zipladin. I'm Patrick, the solo developer behind this.
Quick backstory: I built this after visiting Istanbul and realizing all my photos of Hagia Sophia were beautiful but silent - I'd forgotten what I was thinking and feeling in those moments. That regret inspired me to create an app where your voice stays with your photos forever.
What makes it different: The audio doesn't live in a separate database or cloud - it's embedded directly into the photo file itself. Even if you delete Zipladin, your voice stays with the image.
I'd love your feedback on:
What features would make this more useful?
Should I add search/transcription so you can find photos by what you said?
Any other use cases I'm missing?
It's completely free, no ads, no subscription. Just wanted to solve this problem for myself and figured others might want it too.
Happy to answer any questions!
How are you validating real user behavior at Zipladin right now?
Zipladin
@danilpond I'm keeping it simple for now - downloads and user feedback/reviews. The app is privacy-first (local storage, no cloud tracking), so I rely on App Store analytics and direct user feedback to understand behavior.
What metrics would you focus on for something like this?