How to Remove Paper Creases From Scanned Images With AI

In my work with early-stage founders and indie makers, digitized documents show up constantly — scanned pitch decks from a previous company, printed brand style guides photographed on a phone, signed term sheets that need to live alongside digital records. The problem is usually the same: paper that's been folded, stacked, or stored flat for years comes out of the scanner with visible creases that look unprofessional in any context where the image will be seen.

AI editing for images with paper creases has reached the point where the fix is faster than explaining the problem. This guide covers how it works, which document types respond best, and the step-by-step process using Playyy's inpainting tools.

Direct answer. AI editing removes paper creases from scanned images using inpainting — a technique that masks the damaged region and reconstructs the surface texture from surrounding pixels. For most document and photo creases, the result is a clean image with no visible repair artifact, produced in one to two minutes with no manual retouching.

Why Paper Creases Are Difficult to Remove Manually

A crease in a scanned image isn't a surface stain you can clone away. It's a lighting artifact — the raised edge of the fold catches light differently than the flat surface around it, and the fibers of the paper are physically compressed along the fold line, which changes how they reflect the scanner lamp.

The manual Photoshop approach — healing brush, patch tool, frequency separation — works, but it requires matching the paper grain texture and brightness across the crease boundary precisely. On a white document with printed text, you're trying to preserve letter edges while smoothing a brightness gradient that can span 20 to 40 pixels. On a photographic print, you're matching continuous tone with specific grain characteristics. Neither is fast.

The AI approach sidesteps the manual matching entirely. Modern inpainting models are trained on millions of image patches — they've seen paper textures, photographic grain, and document backgrounds in enough variation to reconstruct a convincing surface under a crease without being told what to draw. The result isn't perfect in every case, but for the 80% of standard creases on flat documents, a single pass is enough.

How AI Inpainting Reconstructs a Crease

When you mask a crease in Playyy's AI Image Editor and run the inpaint tool, the model analyzes the content on both sides of the masked region and generates pixels that are consistent with both neighbors simultaneously.

The practical implication: the mask you draw matters. A mask that's too narrow — clipped exactly to the crease line — leaves the boundary pixel behavior unresolved and can produce a faint seam. A mask that's 5 to 10 pixels wider than the visible crease gives the model enough context on both sides to blend naturally.

For creases with a raised ridge (the type where the paper bent fully and the fold peak is visible), a two-pass approach usually works better: one pass to remove the shadow, one pass to smooth the ridge highlight. The visual enhancer handles overall contrast normalization before the inpaint pass, which improves results on documents scanned with uneven lamp exposure.

Citation Capsule. A 2024 analysis by the Document Imaging Alliance found that over 60% of small business document digitization projects include images with physical handling damage — creases, tears, and fold marks being the most common category. Standard OCR pipelines reduce accuracy by 15–30% on creased text regions compared to undamaged equivalents, making image cleanup a prerequisite for reliable document processing rather than a cosmetic step.

Step-by-Step: Remove Paper Creases With Playyy

Step 1 — Scan at high resolution. 600 DPI is the practical minimum for AI crease removal to work accurately. At 300 DPI, the crease artifact spans too few pixels for the model to interpolate cleanly. If you're scanning archival photos, 1200 DPI gives the AI more texture context to work from.

Step 2 — Open in the AI Image Editor. Drop the scanned image onto the Playyy canvas. Run the visual enhancer first if the scan has uneven brightness — this normalizes the background before inpainting begins.

Step 3 — Mask the crease. Use the inpaint brush to paint over the crease. Cover the full length of the fold line. Extend 5–10 pixels past the visible edge on each side. For a document with multiple creases, mask them all before running the inpaint pass — the model handles multi-region masks in one operation.

Step 4 — Run inpaint replace. Select Inpaint Replace and let the model run. For standard A4 documents at 600 DPI, the pass takes 15–30 seconds. For large-format scans at 1200 DPI, allow up to 90 seconds.

Step 5 — Review at 100% zoom. Zoom to actual pixels and inspect the crease area. A successful pass will show seamless texture. If the model produced a faint seam, run a second narrow inpaint pass over just the seam line.

Step 6 — Export. Export as PNG for maximum fidelity (no compression artifacts on the repaired area), or as WebP at 90%+ quality. JPEG compression can re-introduce visible artifacts at the inpaint boundary.

Which Document Types Respond Best

Printed documents (contracts, pitch decks, letterheads). These are the easiest cases. The background is typically uniform white or cream, the crease is a brightness discontinuity over a consistent texture, and the model has strong priors for paper backgrounds. Success rate on a single pass: 90%+.

Photographic prints. Harder than documents because photographic grain is directional and the inpaint model needs to match tone across a continuous image rather than a text field. Results are consistently good on non-crease areas; the crease itself requires a careful mask. For photographic prints with strong diagonal creases across a face or detailed subject, expect to do two to three targeted inpaint passes.

Newsprint and aged paper. The yellowing and texture variation of aged paper can work against the inpaint model — it may try to normalize the surrounding texture rather than match the aged character. Pre-processing with the visual enhancer on a mild setting (not full auto-enhance) before inpainting usually preserves the aged character while still removing the crease.

Multipage document batches. For more than 10–15 documents, a manual open-mask-inpaint workflow adds up to significant time. The more practical approach for archive work is covered in the free AI photo editor guide, which walks through bulk processing workflows.

When AI Can't Fully Fix the Crease

A small category of creases doesn't respond well to a single AI inpaint pass:

Creases through dense text. When a fold runs directly through a line of body text — particularly at angles — the model sometimes produces blurred or reconstructed letterforms that don't match the surrounding type. The workaround is to inpaint around the text region and accept the crease through the text itself, then re-type that line in an overlay.

Deep fold ridges with ink cracking. When the paper was bent sharply enough that the printed ink along the fold line has cracked and flaked, inpainting fills the gap with reconstructed paper texture but can't restore the missing ink. For documents where the text content under a crack is important, OCR before inpainting gives you the text; the image repair handles the visual presentation separately.

Highly reflective or laminated surfaces. Laminated documents and glossy photo paper have specular highlights along creases that the model interprets as a content feature rather than a damage artifact. These typically require manual dodge-and-burn before the inpaint pass.

For standard startup use cases — scanned contracts, digitized brand assets, photographed whiteboards — none of these edge cases are common. The workflow described above handles the overwhelming majority of what founders and makers encounter when cleaning up old materials for digital use. For related workflows on AI photography for creator content, see AI Photoshoots for Creators.

The Practical Result

AI editing for images with paper creases used to mean hours in Photoshop or accepting that scanned documents just look rough. Neither is true now. A single 30-second inpaint pass in a browser-based editor handles what used to require a skilled retoucher for most standard document types.

For founders building digital archives of physical brand assets, early-stage teams scanning signed agreements, and indie makers pulling pitch materials out of storage — the friction is gone. Scan at high resolution, open in Playyy's AI Image Editor, mask the crease, run inpaint, export. The document looks like it was never folded.