Our robust optical character recognition (OCR) solution can accurately convert images of typed, handwritten, or printed text into machine-encoded text. Our cutting-edge technology empowers businesses and organizations to unlock the valuable information hidden within their documents, images, and multimedia content.
Tech Stack
Our OCR solution is built on a powerful stack of technologies, including:
- Operating Systems: Linux/Windows
- Programming Language: Python
- OCR Engines: Tesseract, EasyOCR
Our Use Case
In our specific use case, we have developed the OCR engine to scan printed documents and extract the text, enabling the conversion of physical documents into editable digital versions. This solution is particularly useful for digitizing newspapers, news tickers, and other printed media.
Real-World Applications
Our OCR solution has a wide range of applications in various industries, including:
- Number Plate Recognition: Extracting text from vehicle license plates for various applications.
- Digitization of Hard Copies/Books: Converting physical documents and books into editable digital formats.
- Customized Font Creation: Generating custom font files from handwritten or printed text.
- Language Translation: Extracting text from images and translating it to other languages.