Photos of curved pages, made flat
Page Dewarp uses a physical model of how paper bends to straighten photos of books, newspapers, and documents. Use this app to run it without installing anything.
curl -s https://page-dewarp-api.louismmx.workers.dev/api/dewarp \
-H "Authorization: Bearer pdw_your_key" \
-F "file=@book-page.jpg" \
--output dewarped.png
# That's it. One image in, one image out.
Most document scanning apps just correct perspective — they assume the page is flat. Real pages aren't flat. They curve near the spine, ripple under glass, and warp when you hold them open with your thumb.
page-dewarp fits a cubic spline to the actual curvature of the page, then maps the image back to a flat plane. The result is noticeably sharper, with less distortion at the margins.
Physically modelled
Fits a cubic Hermite spline to the shape of the page, modelling how the paper surface physically bends.
Every knob exposed
All page-dewarp parameters are available via a single JSON header. Focal length, margins, threshold, optimiser settings — tune anything. New library params work automatically.
Structured metadata
Every response includes the fitted rotation, translation, cubic coefficients, and page corners as JSON. Useful for QA, batch analysis, or downstream processing.
JAX-accelerated
The backend runs page-dewarp with JAX autodiff, making the optimisation step ~11× faster than the SciPy fallback. Typical processing: 2–4 seconds per image.
Pay per image
No subscriptions. Buy credit packs from £2 and use them whenever. If processing fails, you're not charged. See pricing →
Open source core
The library behind this API is MIT-licensed and on GitHub. This service is for people who want dewarping without managing Python, NumPy, SciPy, OpenCV, and JAX.
Give it a try
Upload an image in the browser or call the API directly.
Processing high volumes? The open-source library runs locally with native batch mode — up to 33× faster for multi-image workloads. The API is for lighter use and integration.