Document Scanner

An interactive document scanner built in Python using OpenCV

The scanner takes a poorly scanned image, finds the corners of the document, applies the perspective transformation to get a top-down view of the document, sharpens the image, and applies an adaptive color threshold to clean up the image.

Here are some examples of images before and after scan:

Usage

clone the project

git clone https://github.com/sangamprashant/Document-Scanner.git

Without input

python scan.py (--images <IMG_DIR> | --image <IMG_PATH>) [-i]

• The -i flag enables interactive mode, where you will be prompted to click and drag the corners of the document. For example, to scan a single image with interactive mode enabled:python scan.py --image uploads/sam.jpg -i

• Alternatively, to scan all images in a directory without any input: python scan.py --image uploads/sam.jpg check the output folder.

With Inputs

Create a virtual environment: python -m venv <env-name> Activate the virtual environment:

cd <env-name>/Scripts
.\activate
cd ../..

Install the requirements:

pip install -r requirements.txt

Run the server :

python main.py

• Open index.html in a browser and ensure that the path to the server is correct.
• Select the image to upload and see the magic happen.

Links

• live link

---

• output server link + response.data.result_path
• imput server link