FilterPixel

Meet Tom family, wedding, headshot, and editorial photographer based in Worcester, MA.
Tom shoots high-volume sessions where thousands of frames come back in focus.

Two things changed his workflow with FilterPixel:
✦ Grouping similar shots so he can focus on the story, not sorting endless duplicates
✦ Colour labels that carry straight into Lightroom — no extra organising

Real photographers. Real galleries. Real time saved.
🔗 Try FilterPixel free — link in bio

filterpixel

What surprised me about wasn’t that it picks the good shots, it’s that it knows I’m shooting basketball. Sport-specific judgment, not generic “blurry/sharp.” The reasoning tells me why each photo got the score it did. That’s the part most culling tools miss.
Link in bio.

deepcull photographyworkflow

The difference between a sports videographer and a sports photographer is half a second.
In video, you follow the player. If something great happens, you have it. If not, no big deal.
In photos? If you start shooting when the action happens, you’re already late. Best case you get the facial reaction. You missed the actual moment.
You have to anticipate half a second before it happens. Which means the camera isn’t the skill — reading the game is.
🎙 Full episode: The Cull Room S01 —join our facebook community to watch the entire episode, comment “FB” for link.

I invited Jah Prince to Cull Room, and one part of our conversation really stayed with me.

He shared how he took nearly 40 shots of this bun and cheese because it happened to be Easter, different angles, different settings, a little higher, catching the light differently each time.

And then FilterPixel narrowed it down to the best one.
What made me smile was that the client loved the same photo too.

Even though the AI score was around 6.7, it was still highly rated and already picked by FilterPixel as the strongest image from the set.

That’s the kind of moment FilterPixel is build for.

Try Filterpixel for free ( link in the bio )