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Photo Colour Grader — 8 LUT Presets & | LazyTools
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Photo Colour Grader — 8 LUT Presets & Adjustment Sliders

Apply eight professional colour grading presets to any photo — Cinematic, Vintage, Matte, Cool, Warm, Teal & Orange, Faded and Vivid. Furthermore, five individual adjustment sliders (brightness, contrast, saturation, shadows and highlights) let you refine each preset or build a custom look from scratch. Before/after split view and no server upload.

8 cinematic colour presetsBrightness / contrast / saturation slidersShadows & highlights controlBefore/after split viewNo server upload
🎞️
Drop image or click to upload
Any photo — JPG, PNG, WebP

How to use the Photo Colour Grader

1

Upload your photo

Drop any photo onto the drop zone. Furthermore, the original loads into the left canvas and the graded result appears on the right. The "None" preset applies first — the two canvases initially show identical images.

2

Apply a preset or adjust sliders

Click any preset button — Cinematic, Vintage, Matte, Cool, Warm, Teal & Orange, Faded or Vivid. Furthermore, the preset sets all five sliders simultaneously. Adjust individual sliders to refine the look — brightness, contrast, saturation, shadows lift and highlights. The graded canvas updates live with every change.

3

Download the graded image

Click Download JPG to save the colour-graded image. Furthermore, click Reset to return all sliders to neutral without reloading the photo. Multiple presets can be previewed and compared before downloading.

The eight colour presets explained

Each preset applies a combination of brightness, contrast, saturation, shadows, highlights and RGB channel shifts. Furthermore, different subjects benefit from different presets.

PresetCharacterBest for
CinematicCooler, desaturated, blue shadowsDramatic portraits, moody travel
VintageWarm tint, reduced contrast, lifted shadowsRetro aesthetics, lifestyle photography
MatteLow contrast, faded blacks, soft tonesFashion, portrait, editorial
CoolBlue-shifted, slightly contrastyWinter scenes, urban photography
WarmRed-orange push, increased contrastGolden hour, food, portraits
Teal & OrangeTeal shadows, orange highlightsAction, travel, outdoor adventure
FadedVery low contrast, lifted blacks, blue tintFilm simulation, Instagram aesthetic
VividHigh saturation, contrast boostedNature, food, colourful subjects

How colour grading works in the browser

Each preset combines Canvas CSS filters for brightness, contrast. Saturation with a pixel loop for RGB channel shifts, shadows lift and highlights control. Furthermore, the pixel-level operations allow colour grading effects that CSS filters alone cannot achieve.

CSS filter → drawImage → pixel loop for RGB, shadows, highlights
Shadows lift: adjustment applied proportionally to dark pixels (luminance < 0.5)
Highlights: adjustment applied to bright pixels (luminance > 0.5)
RGB shift: per-channel addition — Cinematic adds +15 to blue, −5 to red

Worked example: applying Teal & Orange to a landscape photo

A travel photographer wants the popular "Teal & Orange" blockbuster film look for a mountain landscape. Settings after preset:

SliderPreset valueManual adjustment
Contrast108%↑ 115% (more punch)
Saturation110%↑ 125% (vivid sky)
Shadows lift−10unchanged
The Teal & Orange preset pushes skies and shadows toward teal while shifting skin tones and warm surfaces toward orange. Furthermore, increasing contrast to 115% adds the punchy look associated with cinema colour grading. Moreover, the side-by-side preview confirms the sky depth improvement before downloading.

What is colour grading?

Colour grading is the process of adjusting the colour, contrast and tone of an image or video to achieve a specific visual mood or aesthetic. Furthermore, it differs from colour correction — which fixes technical issues like white balance. Exposure — by applying creative style choices that go beyond accuracy. Professional film colour grading uses Look Up Tables (LUTs) — three-dimensional matrices. Map every input colour to a specific output colour. Moreover, browser-based grading using CSS filters. Pixel manipulation simulates the most recognisable LUT effects without requiring dedicated colour grading software.

The "Teal & Orange" look became the most recognisable colour grading style in cinema after its popularisation in blockbuster films of the 2000s. Furthermore, the technique pushes shadows toward teal (blue-green) and highlights toward orange — colours that are complementary on the colour wheel and create high contrast visual appeal. Human skin tones are naturally warm and shift toward orange under this grading, separating faces from cooler background tones. Moreover, the style became ubiquitous in travel and outdoor photography after social media popularised cinematic aesthetics in everyday photography.

Shadows lift and the matte look

Shadows lift raises the minimum brightness of dark pixels above true black. Furthermore, a lifted shadow value means the darkest areas of the image appear as dark grey rather than pure black — creating the characteristic "matte" or "faded" look associated with film stock photography and Instagram filter aesthetics. Moreover, combined with reduced contrast, shadows lift produces the low-contrast, soft-toned look of film stock that has been overexposed or printed on matte paper.

Why preset plus slider access matters

Preset-only tools produce the same result for every user — the tool makes one opinionated decision about how "Cinematic" should look. Furthermore, different photos benefit from different intensities of the same preset — a portrait needs a subtler cinematic grade than a landscape. Individual sliders after preset application allow calibrating the intensity without abandoning the overall direction. Moreover, combining a preset with manual slider refinement produces personal creative looks that feel different from the stock preset — giving individual photographers a distinct visual identity rather than the exact same filter as every other user of the tool.

Frequently asked questions

A LUT (Look Up Table) is a mathematical mapping that converts each input colour value to a predetermined output colour. Furthermore, professional colour graders create custom LUTs in software like DaVinci Resolve that map every colour in the footage to a specific graded output — achieving consistent looks across an entire film or video series. Browser-based colour grading simulates the visual character of popular LUT types through filter combinations rather than exact LUT interpolation. Moreover, the presets in this tool capture the essential character of each named style — the result visually resembles the LUT style even without a strict 3D LUT calculation.
Each preset replaces the previous — clicking a new preset button resets all sliders to the new preset values. Furthermore, for combining presets, apply one preset, download the result and upload it again to apply a second grade. This iterative approach allows compound grading. Moreover, be aware that iterative JPEG encoding introduces slight quality loss with each re-encoding — for multi-step grading, start with a high-quality PNG source.
Colour grading is most visible in photos with strong colour information. Furthermore, the difference between Cool and Warm presets is dramatic on a photo with both warm and cool areas but subtle on a monochrome photo or one with very desaturated colours. The Faded and Matte presets look similar on already low-contrast photos. Moreover, trying multiple presets on the same photo — which takes seconds per preset — quickly identifies which grade produces the most visible and desired effect for the specific image content.
The download re-encodes to JPG at 92% quality — near-lossless for most photographs. Furthermore, the pixel-level changes from colour grading are far greater than the compression artefacts introduced by 92% JPG re-encoding. The visual difference between 92% and 100% quality is imperceptible on colour-graded images. Moreover, for lossless graded output, a future PNG download option is planned.
The Teal & Orange preset applies a negative red channel shift and positive blue channel shift to the full image — pushing all colours toward teal. Furthermore, the orange effect emerges from the complementary relationship — areas that were already warm (high red, low blue) resist the blue push and appear more orange relative to the cooled background. Moreover, the contrast boost of 108% increases the separation between the warm and cool areas, amplifying the complementary colour contrast that makes the look visually impactful.

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