FrameThrower · Actors · Karl Urban
Karl Urban
10 films · 778 frames · top-billed in 4 · 2002–2026
Born 7 June 1972 · Wellington, New Zealand
Karl-Heinz Urban is a New Zealand actor. His career began with appearances in New Zealand films and TV series such as Xena: Warrior Princess. His first Hollywood role was in the 2002 horror film Ghost Ship. Since then, he has starred in many high-profile movies, including as Éomer in the second and third instalments of The Lord of the Rings trilogy, Vaako in the second and third instalments of the Riddick film series, Leonard McCoy in the Star Trek reboot film series, Kirill in The Bourne Supremacy (2004), John "Reaper" Grimm in Doom (2005), Judge Dredd in Dredd (2012), Gavin Magary in Pete's Dragon (2016), and Skurge in Marvel Studios' Thor: Ragnarok (2017).…
Awards
On FrameThrower we have: 10 films · 778 frames · top-billed in 4 · 2002–2026
- Screen Actors Guild Award for Outstanding Performance by a Cast in a Motion Picture
How their films are shot
Measured across 778 frames from the 10 films we hold. This is the look of the work Karl takes, not a claim about any single frame — we index the cast of a film, never the people in a shot.
Across the 10 films we hold, 51% of their frames are night, 53% low key — the look of the work Karl takes.
Time of day
Lighting
Shot size
Camera angle
Mood
Films in the library
Every poster opens that film — stills, cinematography notes and colour palette.
The Bluff
2026 · Captain Connor
The Sea Beast
2022 · Jacob Holland (voice)
Star Trek Beyond
2016 · Dr. Leonard 'Bones' McCoy
Dredd
2012 · Judge Dredd
Thor: Ragnarok
2017 · Skurge
Pete’s Dragon
2016 · Gavin
Star Trek Into Darkness
2013 · Dr. Leonard 'Bones' McCoy
Star Trek
2009 · Dr. Leonard 'Bones' McCoy
The Chronicles of Riddick
2004 · Vaako
Ghost Ship
2002 · Munder
Often with
Shared films in this library, not a full filmography.
A reference database for filmmakers
FrameThrower is a fully machine-searchable film database and visual reference library — all 778 frames from Karl Urban's 10 films, and 5,000+ films besides, indexed frame by frame and readable by AI. Search it in plain language, from a reference image, or by colour; call it from an API, an MCP server or an SDK. It's the reference layer for making the next movie.