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Docparser vs OpenCV: What are the differences?
What is Docparser? Extract Data Form PDF Files & Automate Your Business. Docparser is a cloud based document processing solution and workflow automation software. Docparser makes it easy to convert PDF documents into structured data and automate document based workflows.
What is OpenCV? Open Source Computer Vision Library. OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.
Docparser belongs to "File Conversion" category of the tech stack, while OpenCV can be primarily classified under "Image Processing and Management".
Some of the features offered by Docparser are:
- Document Data Capture
- Document Scraping
- Zonal OCR
On the other hand, OpenCV provides the following key features:
- C++, C, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android
- More than 47 thousand people of user community and estimated number of downloads exceeding 7 million
- Usage ranges from interactive art, to mines inspection, stitching maps on the web or through advanced robotics
OpenCV is an open source tool with 36.3K GitHub stars and 26.6K GitHub forks. Here's a link to OpenCV's open source repository on GitHub.
Pros of Docparser
Pros of OpenCV
- Computer Vision37
- Open Source18
- Imaging12
- Face Detection10
- Machine Learning10
- Great community6
- Realtime Image Processing4
- Helping almost CV problem2
- Image Augmentation2