Upload the original photo
Use the highest-quality source available. A brightened screenshot can clip color information that the model needs to relight skin, fabric or product surfaces.
AI SHADOW REMOVER
Remove unwanted shadows while keeping natural depth
Reduce harsh face, product and background shadows without manually dodging and burning. AI rebuilds more even lighting, while preserving subtle contact shadows needed for a believable photo.
- Automatic whole-photo shadow and lighting analysis
- Designed for faces, products and simple backgrounds
- Before-and-after review before clean download
Processing path
01 · Source
JPG / PNG / WebP
02 · AI task
Automatic AI Shadow Remover
03 · Human review
Drag compare · inspect detail
Shadow removal is generative relighting, not recovery of a hidden original. Results are strongest when the shadowed area still contains visible color and texture.
AI Shadow Removal Workspace
Relight harsh shadow areas and compare the result
Secure cloud processingJPG · PNG · WEBPUp to 20 MB
03 · Shadow removal preview
Compare the original lighting with the AI-relit result
Your relit photo will appear here
Upload a portrait, product photo or scene with an unwanted harsh shadow.
Sign in before Pro processingEligible accounts get 1 watermarked previewJPG, PNG and WEBP supported
GENERATIVE RELIGHTING
Remove the distraction, not all depth
A completely shadowless object can look like a cutout. The processing instruction targets harsh or unwanted shadows while retaining subtle grounding and the original composition.
Run automatic shadow removal
The Pro model analyzes the whole image, evens harsh cast or face shadows and keeps subtle contact shading where it supports natural depth.
Check lighting consistency
Compare skin tone, surface texture, edge color and the direction of remaining light. Retry rather than accepting a flat or visibly generated patch.
WHAT IT CORRECTS
Relighting for common shadow problems
The tool treats shadow removal as a lighting problem, not a simple eraser. That distinction matters when the original texture and subject shape must remain believable.
Harsh facial shadows
Even out a dark diagonal or phone-cast shadow across a face while aiming to preserve natural skin tone, facial structure and identity.
Product cast shadows
Reduce an overpowering shadow on a listing photo without removing the subtle grounding that makes the product look physically present.
Wall and background shadows
Clean a distracting silhouette or uneven patch on a simple wall, studio sweep or other predictable background texture.
Uneven document lighting
Balance a broad hand or phone shadow in a photographed page, while recognizing that exact document text still needs careful verification.
PRACTICAL USES
For photos where the light got in the way
Remove shadowsPortraits and selfies
Reduce a harsh phone, arm or overhead shadow that distracts from a face while retaining realistic contours.
E-commerce photography
Create a cleaner product presentation when improvised lighting produces a large cast shadow or uneven background.
Real-estate and interior photos
Balance a dark patch on a wall or floor when the surrounding surface gives the model enough context to rebuild the light.
Receipts and photographed pages
Improve broad lighting consistency for readability, then verify important numbers and words against the original.
When AI shadow removal looks natural
Best results
- Some color and texture remain visible inside the shadowed area
- The unwanted shadow is clearly different from intentional object shading
- Nearby surfaces provide a reliable reference for color and illumination
- The source is reviewed at full size for skin, edge and texture changes
Important limits
- A fully black or clipped shadow contains little source information, so the model must infer more
- Complex shadows across eyes, hair, fingers or printed text can change fine details
- Removing every shadow may flatten a product or portrait; subtle contact depth is intentionally retained
- Generative relighting can shift local color, so color-critical work needs manual verification
SHADOW REMOVER FAQ
Questions before relighting a photo
Each completed Pro shadow-removal task costs 3 credits.
View Pro credits and plansHow does AI remove a shadow from a photo?+
The model analyzes the shadowed region and nearby unshadowed areas, then generates more even illumination while reconstructing plausible color and texture. It is a generative edit rather than recovery of hidden original pixels.
Can it remove a shadow from a face?+
It is designed to reduce harsh facial shadows, but eyes, hair and skin texture are sensitive details. Compare the result carefully and retry if identity or skin tone changes.
Will it remove the natural shadow under a product?+
The task instruction preserves subtle contact shadows needed for depth while reducing shadows that are harsh or distracting. The result should still be reviewed for a natural grounded appearance.
Is the AI shadow remover free?+
Shadow removal is a Pro task that normally costs 3 credits. An eligible new account can generate one watermarked preview before deciding whether to unlock a clean result.
Can I remove a shadow from a document photo?+
Broad phone or hand shadows can often be reduced, but the model may alter tiny printed characters. Verify important names, amounts and dates against the original image.
Why does a very dark shadow sometimes look artificial after removal?+
A clipped or nearly black region contains little usable color and texture. The model must infer more of the missing appearance, which increases the chance of a flat or inconsistent patch.
Which image formats are supported?+
You can upload JPG, PNG and WebP images up to 20 MB. Large files may be resized before they are sent for processing.
Does the tool change the whole photo?+
The model receives the complete image so it can understand lighting direction and context. Its instruction is to preserve the subject and composition, but any generative edit can affect nearby details.
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