Low Light Photo Enhancer
Dragging the exposure slider up in a normal editor also drags up the noise, and the colours go grey. This does the job the way a camera would have if it had had more light: shadows come back, colours come back, and the grain that lives in them is cleaned instead of amplified. Run it free to preview the result; download the clean full-resolution image with credits.
Not sure? Leave it on Too dark — it brightens and corrects colour in one pass. Pick Night shot when the photo is both dark and grainy.
Drag & drop a file here, Ctrl+V to paste, oror
Brightness Without the Grain
Raising exposure in an editor multiplies whatever is in the shadows — including the noise. The model was trained on pairs of dark and correctly-lit photos, so it reconstructs what should be there instead of scaling up what is.
Built for Phone Night Shots
Concerts, restaurants, streets after dark, indoor parties — the shots a phone sensor cannot expose properly. Colour casts from mixed lighting get corrected along the way.
Private & Secure
Your photo is sent to our AI server for processing. The enhanced result is held only briefly so you can unlock the HD download, then expires automatically. Nothing is shared.
How it works
Why brightening a dark photo usually makes it worse
A dark photo is not missing brightness — it is missing light, and those are different problems. When too few photons reach the sensor, what the file actually holds in the shadows is mostly sensor noise with a faint signal buried in it. Pull the exposure slider up and you scale both: the picture gets lighter, the grain gets louder, the colours go flat and grey, and skin turns muddy. That is the ceiling of a curves adjustment, and no amount of sliding gets past it. A low-light model works the other way round. It has seen thousands of pairs of the same scene shot badly and shot well, so instead of amplifying the pixels you have, it reconstructs the ones you should have had — separating what was noise from what was detail, restoring the colour the darkness swallowed, and leaving the parts of the frame that were already correctly lit alone. If the photo is properly exposed and simply soft or shaken, that is a different fix — use the Photo Unblur. And if you just want to see the exposure numbers the camera actually used, the EXIF Checker reads ISO and shutter speed straight out of the file.
Getting the best result out of a night photo
Feed it the original file, not a screenshot or a messaging-app copy — compression destroys exactly the faint shadow detail the model needs to work with, and a photo that has already been brightened once has nothing left to recover. Pick the mode that matches the actual fault: Too dark for an underexposed indoor or evening shot, Night shot when it is both dark and grainy, Grainy when the exposure is fine and only the noise is the problem. Expect limits: a frame that is almost entirely black holds no signal to restore, and blown-out highlights — a street lamp, a phone screen, a stage light — are already clipped and stay clipped. Broad shapes and surfaces recover well; tiny text in the dark often does not. Afterwards, run the result through the Image Upscaler if you need it larger, or the Quality Analyzer to check the file is good enough to print. Every run here is free to preview; you only spend credits on the clean, full-resolution download, and the pricing page shows what a credit costs.
Frequently Asked Questions
How do I brighten a dark photo online?
Why does making a photo brighter in an editor look bad?
Is the low light photo enhancer free?
Can it fix a really dark night photo from my phone?
Does it remove noise as well as brighten?
Will it change the parts of the photo that are already fine?
What AI model does it use?
Are my photos stored on the server?
Scanly is an independent product. InstructIR is a third-party model we call through Replicate — an integration, not our brand. Scanly is not affiliated with, endorsed by or sponsored by Replicate or the model authors, and all model names and trademarks remain the property of their respective owners. AI Disclosure.