iPhone video level tool

A lightweight, web-based tool that analyzes iPhone video levels to guide exposure and color grading for filmmakers, editors, and mobile videographers.

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About This Tool

The tool analyzes iPhone video captures to quantify exposure, luminance distribution, highlights/shadows, white balance, and color saturation. It targets mobile filmmakers, editors, and on-location shooters who need quick, device-agnostic evaluation to guide tweaks or LUT choices.
It operates conceptually by mapping input camera metadata and scene lighting to measurable metrics (exposure, balance, saturation) and by comparing them against reference baselines. It does not edit footage; it produces actionable notes and scores to inform shooting and grading decisions.
Core value lies in portability and consistency: measurements require only a frame sample or short clip, regardless of hardware, and results are reproducible for quick cross-device parity. Typical use cases include on-site exposure validation, pre-shoot test shots, and post-shoot quality checks for social content across iPhone models.
Key features include numerical exposure_score, luma_histogram, clip_alerts, wb_delta, and suggested_exposure_adjustment, plus concise grading_notes to guide color decisions. Advanced workflows can extend to batch analysis and export to JSON for pipeline integration.

How to Use

  1. Provide inputs: camera_model, frame_rate, ISO, shutter_speed, color_profile, ambient_lux or scene_lighting.
  2. Choose measurement_mode (standard, log, or HDR-like) based on footage profile.
  3. Run calculation to produce exposure_score, histogram, wb_delta, and grading_notes.
  4. Review outputs and apply recommended_exposure_adjustment or color notes to your edit plan.
  5. Export results as JSON or CSV for archival or pipeline integration.
How to use iphone video level tool

Frequently Asked Questions

Find Quick Answers

What inputs does the tool require?
Inputs include camera_model, frame_rate, ISO, shutter_speed, color_profile, and ambient_lux or scene_lighting. Optional inputs include exposure_compensation. All required fields must be provided or default baselines will be applied for measurement consistency.
What outputs are produced?
Outputs include exposure_score (0-100), luma_histogram (256-bin), clip_percent, wb_delta (C), recommended_exposure_adjustment (EV), and grading_notes. These guide exposure decisions and color grading without performing edits.
Is log or HDR workflow supported?
Optional support for log profiles and HDR-like workflows improves measurement fidelity. If not provided, the tool uses standard color spaces BT.709/BT.2020 as fallbacks for calculation and comparison.
Can results be exported?
Yes. Results can be exported as JSON or CSV for integration with pipelines, notes, or archival. Exports are deterministic given the inputs and can be re-run for consistency.

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