The Juan Melara iPhone 16 Pro to Alexa PowerGrade & LUT is a professional-grade toolset designed for filmmakers and content creators who want to align iPhone footage with the color science of the ARRI Alexa camera system. Whether you're capturing content on the iPhone 16 Pro/Max or iPhone 15 Pro/Max using Apple Log, this conversion tool allows seamless integration into an Alexa LogC-based workflow.








This toolkit ensures your mobile footage maintains visual integrity and consistency with Alexa’s cinematic color profile, making it suitable for use in high-end film, television, and commercial production.

Included in the Package:

LUT Version:

iPhone16Pro to Alexa LogC LUT: Converts Apple Log to ARRI’s LogC, enabling smooth color transitions.

ARRI LogC2Video LUTs: Includes four distinct Rec709 variations: Standard, Standard V2, Standard V3, and Wide Dynamic Range V2 (WDR V2).

Post-Production Rec709 LUTs: Crafted at x65 precision, ideal for high-end color grading during the editing stage.

In-Camera/On-Set Rec709 LUTs: x33 precision LUTs for real-time preview during shoots.

PowerGrade Version:

iPhone16Pro2Alexa PowerGrade: Delivers complete transformation from Apple Log to LogC and Rec709 for DaVinci Resolve workflows.

iPhone16Pro2Alexa RCM PowerGrade: Leverages Resolve Color Management (RCM) for optimized grading performance.

ARRI LogC2Video PowerGrades: Replicates the LUT versions for advanced node-based grading.

In-Camera/On-Set Rec709 LUTs: Built for quick previews and reliable color during production.

Who Should Use It:

LUT Version: Ideal for editors using platforms like Adobe Premiere Pro or Final Cut Pro, offering fast and efficient color matching.

PowerGrade Version: Best suited for DaVinci Resolve users seeking deeper control and color grading flexibility through node-based workflows.

Whether you're working on narrative films, documentaries, music videos, or branded content, Juan Melara's iPhone to Alexa conversion tools provide the reliability and precision needed for top-tier visual storytelling.