Senior Designers shouldn't be manually-resizing assets ready to run or being aware of TikTok safe zones. PixFit turns 1 key visual into every ad format — brand-perfect, platform-specific, ready to ship.
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We built PixFit originally as an internal tool because seasonal campaigns were killing our capacity
Quick story on why PixFit exists.
We run creative for a lot of brands, and every seasonal moment - Christmas, Easter, any big event where every brand floods the feed with promos, turned into the same bottleneck. Not the ideas. Not the design. The re-adaptation.
Here's the math that broke us: each campaign needs at least 8 pieces (one per placement), and every brand runs at least 4 campaigns at once, different offers, different promos, all live at the same time. So a task that is purely repetitive got multiplied over and over.
The painful part: once you had the creative asset approved (what we call master asset) and ready to run, making the 8 adaptations took roughly as long as making the original. Multiply that across every campaign, across every client, and the effort scales exponentially - for work that adds zero creative value.
the human fallback after 3 attempts is the right call honestly, most of these tools pretend the AI output is always good enough and quietly ship the bad crops. curious what the actual failure rate looks like once you have real usage data, not just your own campaigns
PixFit
@omri_ben_shoham1
Omri, this is the most honest question we've gotten all day and I'm not going to dodge it 😄
You're right that the tempting move is to quietly ship the bad crops, that's exactly why we put a hard gate at 3 attempts instead of pretending every output is gold.
Real talk on the failure rate: we're literally at launch, so the intellectually honest answer is we have solid numbers from our own volume but not yet at scale across other people's campaigns. Rather than hand-wave a number, I'd rather earn it with real usage data.
If you're up for it, I'd love to get you in early and actually share what the failure rate looks like on your creatives - that's the data that would make me trust a tool too. Deal?
deal. honestly that's a better answer than a made up percentage would've been. send it over whenever it's ready, I'll run a real batch through and tell you where it actually breaks
PixFit
@omri_ben_shoham1 Wil do! Thank you!
AgentKey
PixFit
@luki_notlowkey Great question! In practice, only around -5% of creatives end up needing a human designer, the AI handles the vast majority on its own. And when an escalation does happen, we turn it around within 24 hours, so it never becomes a real blocker. The goal is that you get the speed of automation with the safety net of a professional eye when it truly matters.
Went from watching senior designers burn hours on safe-zone resizing to actually shipping a fallback SLA when the AI can't get it right — that's the part of this I trust. Most tools stop at 'AI does it' and hope for the best. What's the most common reason an output ends up needing the manual pass?
PixFit
@dattesh_dangui It's actually when an output is repositioned in the optimal place according to the overlays, but the user does not like where it ended up!
@mbertone911 That's a more interesting failure mode than I expected — most tools I've seen struggle with objective misses (wrong crop, broken safe zone). A subjective 'technically correct but doesn't feel right' mismatch is a taste problem, not an accuracy problem. Are you feeding that feedback back into the model over time, or is it purely a one-off manual override each time it happens?
Tried the tool, works clean!
What about videos? that would be great ;)
PixFit
@timurr_l Love that, thanks for actually trying PixFit it Timur!
Great question on video resizing, we launched as fast as we could and left that feature on the backlog because it was not polished yet, we wanted images to feel bulletproof first.
But video adaptation is 100% where this is heading, it's the most requested thing already.
Want me to ping you when it drops? Your ;) is now officially motivation 😄
Hi Marco! Having a tool to turn 1 idea into multiple ad formats is life saving. I have one question. Do multiple formats have any negative impact in pixel quality? Congrats on the launch!
PixFit
@konstant_gk Absolutely none!
Swytchcode
This tool is amazing. Does it only support TikTok today?
PixFit
@chilaIt supports Meta, Tik Tok and Google and we'll keep enabling more formats!
How does it handle brand fonts and custom typography when generating all those platform variants?
PixFit
@alparslanvfgl Great question! Under the hood, PixFit has a layer that vectorizes the typography from your master creative — so the font is preserved pixel-perfect across every platform variant. At most, text might reflow or reorder to fit a different aspect ratio, but the typeface itself is never substituted or lost. No more 'fallback font' surprises!