AI Torn Photo Repairer

Just describe the damage. AI reconstructs torn areas without manual editing.

1940s military portrait with torn missing corner — Before

→

Fully restored portrait with corner reconstructed — After

Repair Torn Photo

Drop your photo here

or click to browse

Release to upload

Free • No signup

Popular use cases:

old photo restoration
torn photo repair
ripped photo reconstruction
damaged photo recovery
family photo restoration
heirloom photo repair
vintage photo reconstruction
historical photo preservation

Cost: Free No signup required
Time: Instant results in 15-30 seconds
Works on: Any device - browser, phone, tablet, desktop
Powered by: AI-powered photo editing

Scenario	Prompt	Time
General torn repair	`repair all torn edges and fill missing areas with matching texture from the intact parts`	30s
Torn corner	`fix the torn corner and reconstruct the missing piece based on the rest of the photo`	35s
Vertical tear	`repair the vertical rip running through the photo and blend both sides seamlessly`	40s
Torn in half	`repair photo torn in half, reconstruct missing center section by learning from both intact sides`	45s

How it works

Upload your torn photo

Drop your image into EditThisPic. JPG, PNG, WebP up to 7MB. Scan or photograph the torn photo laying pieces as close together as possible. The AI works better when it can see the full original size, even if pieces are separated by gaps.

Expect: Simple torn edges: 30-40 seconds. Complex missing pieces or multiple tears: may need 3-4 refinements focusing on different damaged areas.
Describe the tear damage

Type your instruction: 'repair the torn edges and fill missing areas' or 'fix the ripped corner and reconstruct missing parts.' Be specific about where damage is located. No marking needed—the AI detects torn edges, missing pieces, and white gaps automatically, then reconstructs those areas using texture and patterns from intact parts of the photo.

Tip: Include location details like 'torn top right corner' or 'vertical rip through the center' to help the AI focus on specific damage areas first.

Copy one of these to get started:

General torn photo repair repair all torn edges and fill missing areas with matching texture from the intact parts
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Ripped corner reconstruction fix the torn corner and reconstruct the missing piece based on the rest of the photo
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Vertical tear repair repair the vertical rip running through the photo and blend both sides seamlessly
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Photo torn in half repair photo torn in half, reconstruct missing center section by learning from both intact sides
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4 more prompts

Multiple small tears fix all small tears and rips throughout the photo, fill each one with matching background
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Face reconstruction repair torn area crossing the face, reconstruct facial features naturally using visible parts as reference
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Edge damage only repair frayed and torn edges around the border, smooth and extend slightly to restore original size
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White gap filling fill the white gaps where photo is torn and pieces are separated, blend seamlessly
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Generate and review

Click Generate and watch the AI analyze the damage. It identifies torn edges and missing areas, learns patterns from intact portions, reconstructs missing pieces with matching texture and detail, blends repairs seamlessly, and maintains photo composition. Zoom in to verify repairs look natural.
Refine complex tears in stages

For photos with multiple tears or large missing sections, work in stages. First pass: major reconstruction. Second pass: fine detail and edges. Mark specific problem areas if the AI needs guidance on which tears to prioritize.

Tip: Heavily damaged photos may need 3-4 passes. Don't try to fix everything at once—better results come from gradual refinement.
Download and preserve

Once repairs look natural, download your restored photo at full resolution. Consider printing and backing up the digital copy to prevent future damage to this irreplaceable memory.

Try it free ↓

Repair Torn Photo

Drop your photo here

or click to browse

Release to upload

Free • No signup

"My mom's only baby photo was torn in half. AI rebuilt the missing side perfectly by mirroring the pattern. She cried happy tears." @photorescue

See it in action

1940s portrait with torn corner

Reconstructed entire missing corner of a vintage portrait. The AI analyzed the intact sides and background pattern to rebuild the damaged area perfectly.

Prompt: fix the torn corner and reconstruct the missing piece based on the rest of the photo

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Family photo torn vertically down the middle — Before

Repaired family photo with vertical tear fixed — After

Family photo ripped vertically

Repaired photo torn completely down the middle with visible white gap. The AI filled the rip and blended both sides seamlessly in one attempt.

Prompt: repair the vertical rip running through the photo and blend both sides seamlessly

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Wedding photo with multiple small tears throughout — Before

Restored wedding photo with all tears repaired — After

Wedding photo with multiple tears

Fixed several small tears across an old wedding photograph. The AI identified and repaired each damaged area while preserving all original details.

Prompt: fix all small tears and rips throughout the photo, fill each one with matching background

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Baby photo torn completely in half horizontally — Before

Fully reconstructed baby photo with center rebuilt — After

Baby photo torn in half

Reconstructed photo completely torn in half with large missing section. The AI learned patterns from both intact sides to rebuild the middle.

Prompt: repair photo torn in half, reconstruct missing center section by learning from both intact sides

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If something looks off

AI changed the wrong area or something I didn't want changed

Why: The AI couldn't determine exactly which area you meant from description alone.

Try: Tap a marker on the specific area you want to change, then regenerate with the same prompt

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Tip: Markers tell the AI 'I mean THIS one specifically.' Use them when description alone is ambiguous.

Reconstructed area looks blurry or lacks detail

Why: The AI filled the torn area but didn't have enough surrounding context to match the original photo quality or texture.

Try: Try: 'repair torn area with sharp matching detail from intact parts, no blur or softness'

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Tip: Mentioning 'sharp' and 'matching detail' helps the AI create higher quality reconstructions that match the original photo.

Fill doesn't match the pattern or texture correctly

Why: The AI sampled from the wrong area for reconstruction, creating fills that don't match the expected pattern (wallpaper, clothing, etc.).

Try: Be specific: 'reconstruct torn area by copying pattern from the intact left/right side, match exactly'

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Tip: For patterned backgrounds or repetitive textures, direct the AI to sample from specific intact areas.

Edges of repair are visible or don't blend

Why: The AI filled the damaged area but created a noticeable boundary between the repair and original photo.

Try: Regenerate with: 'repair torn areas and blend edges seamlessly so repairs are invisible'

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Tip: Explicitly asking for 'invisible' repairs and 'seamless blending' produces better edge transitions.

Only some tears were fixed, others remain

Why: Multiple tears in complex photos may be too much for one pass. The AI prioritized the most obvious damage first.

Try:

Work in stages: First pass handles major tears. Mark remaining tears and regenerate with: 'repair these specific marked torn areas'

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Tip: Heavily torn photos often need 3-4 passes. Fix major damage first, then refine smaller tears.

Facial features reconstructed incorrectly

Why: Faces are complex—if a tear crosses critical features (eyes, mouth), the AI may guess wrong without enough reference.

Try: Try: 'reconstruct the torn facial area naturally, use symmetry from the intact side of the face as reference'

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Tip: Mentioning 'use symmetry' helps the AI mirror intact facial features to rebuild damaged sides.

White gaps remain after repair attempt

Why: The AI may have interpreted white gaps as part of the photo background rather than missing torn areas.

Try: Be explicit: 'fill all white gaps where photo is torn and missing, these are damage not background'

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Tip: Clarifying that white areas are damage rather than photo content helps the AI target them correctly.

Colors don't match in reconstructed area

Why: Old photos often have color shifts or fading that varies across the image, making color matching difficult.

Try: Use: 'repair torn area matching the exact color and tone of the immediate surrounding area'

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Tip: Emphasizing 'immediate surrounding area' ensures the AI samples color from the closest matching pixels.

Quick answers

Do I need to mark torn areas before describing?

No! Just describe what you want: 'repair all torn edges and fill missing areas' or 'fix the ripped corner.' The AI detects white gaps, torn edges, and missing pieces automatically. Only use markers if you have multiple tears and want to fix specific ones first, or if some damage was missed.

How do I repair a torn photo for free?

Upload your torn photo to EditThisPic and type 'repair all torn edges and fill missing areas with matching texture from the intact parts.' The AI detects tears, reconstructs missing pieces by learning from intact areas in 30-40 seconds. Free to try with no signup, no watermark, and no credit card required.

Is there a free torn photo repair tool that doesn't require login?

Yes. EditThisPic repairs torn photos without requiring an account. Just upload your damaged photo, describe the tear damage, and download the reconstructed result. No email, no signup, completely free for your first edit.

Can this repair photos torn completely in half?

Yes. When photos are torn into separate pieces, scan or photograph them laid as close together as possible. The AI can bridge gaps and reconstruct missing sections by learning patterns from both intact sides. Large gaps may need 2-3 refinement passes for best results.

How does the AI know what was in the torn missing area?

The AI analyzes patterns, textures, and structures in intact parts of the photo, then uses that learned information to reconstruct missing areas. For backgrounds, it extends patterns. For faces, it can use symmetry from the intact side. Results are most accurate when the AI has good reference material in the undamaged portions.

Should I tape torn pieces together before scanning?

No need. You can scan or photograph torn pieces laid close together without taping them. Taping can create shadows, visible tape lines, and additional damage. The AI can bridge small gaps between pieces. Just position pieces as close to their original placement as possible.

Ready to repair your torn photos?

Free to try. No signup required.

AI Torn Photo Repairer

How it works

Upload your torn photo

Describe the tear damage

Generate and review

Refine complex tears in stages

Download and preserve

See it in action

1940s portrait with torn corner

Family photo ripped vertically

Wedding photo with multiple tears

Baby photo torn in half

If something looks off

Quick answers

Related Tools

Ready to repair your torn photos?