Online Batch Image Color Channel Adjustment Tool
Adjust red, green and blue percentages for up to 30 images locally. Compare previews and download PNGs at the original dimensions.
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What Online Batch Image Color Channel Adjustment Tool actually does
Batch RGB channel adjustment for up to 30 selected images. Three shared numeric settings independently control red, green and blue intensity; each defaults to 100% and is bounded from 0 to 200%. There is no per-file override in one run.
Checkable example
Verified pixel example: RGB(100,150,200) at red 150%, green 50%, blue 0% becomes RGB(150,75,0). RGB(200,100,50) at red 200% clips red to 255 rather than 400, so a later inverse adjustment cannot recover information lost in an exported clipped copy.
Controls, output and limits
For every pixel, output red=source red*(red percent/100), and green and blue use the same independent formula. Results are clamped and byte-rounded to 0..255 while alpha and image dimensions remain unchanged. At 100/100/100 RGB is neutral; at 0/0/0 RGB becomes black without deliberately removing transparency.
Worked batch use: load product photos with the same cool color cast, choose red 110%, green 100%, blue 90%, then Generate. The same multipliers apply to each image, but differently exposed highlights can clip differently; inspect every preview and retain the source files.
Each input must have an image MIME type, be at most 25 MiB and decode to at most 24,000,000 pixels. The selected batch is limited to 100 MiB and 40,000,000 decoded pixels, and a selection exceeding 30 files is rejected entirely.
Each result is encoded as PNG and named from the source base name plus -channels.png. Download all starts separate downloads about 180 ms apart; it does not create a ZIP, preserve the input format or export separate channel planes.
Processing is local in the browser and Generate must be pressed after settings change. This is decoded-raster multiplication, not an ICC-managed or RAW workflow, selective mask, eyedropper, histogram adjustment or automatic white balance. Setting one channel to zero removes its RGB contribution rather than generating a grayscale channel image.
Processing takes place locally in your browser.