Need advice about which tool to choose?Ask the StackShare community!
Docparser vs Tesseract OCR: What are the differences?
Introduction: In the realm of Optical Character Recognition (OCR) tools, Docparser and Tesseract OCR are two popular choices that offer unique features and capabilities. Understanding the key differences between these two tools is crucial for businesses looking to streamline their document processing workflows effectively.
1. Accuracy of Extraction: Docparser is known for its high accuracy in extracting structured data such as tables and key-value pairs from documents, making it an excellent choice for organizations dealing with complex document formats. Tesseract OCR, on the other hand, focuses more on general text recognition and may not provide the same level of precision when it comes to structured data extraction.
2. Ease of Use: Docparser's intuitive user interface and drag-and-drop functionality make it easy for non-technical users to set up and customize document parsing rules without requiring extensive programming knowledge. In contrast, Tesseract OCR is more developer-oriented, often requiring scripting or programming skills to implement and customize according to specific requirements.
3. Cloud vs. On-premises: Docparser is a cloud-based solution, allowing users to access and process documents from anywhere with an internet connection. This offers flexibility and scalability for businesses of all sizes. Tesseract OCR, on the other hand, can be deployed on-premises, giving organizations full control over their data privacy and security but requiring dedicated resources for maintenance and support.
4. Pricing Structure: Docparser offers subscription-based pricing plans that cater to different business needs, with a transparent pricing model based on the number of processed pages or documents. In comparison, Tesseract OCR is an open-source tool that is free to use, making it a cost-effective option for businesses with limited budgets but lacking the advanced features and support provided by a commercial solution.
5. Integration Capabilities: Docparser offers seamless integration with popular third-party applications and platforms such as Zapier, Dropbox, and Google Drive, enabling users to automate document processing workflows and streamline data transfer processes. Tesseract OCR, while flexible in terms of customization, may require additional development effort to integrate with external systems and applications.
6. Support and Documentation: Docparser provides comprehensive customer support, including tutorials, knowledge base articles, and responsive customer service, ensuring users have access to resources and assistance when needed. Tesseract OCR, being an open-source tool, relies more on community forums and developer documentation for support, which may not be as user-friendly or readily available for non-technical users.
In Summary, understanding the key differences between Docparser and Tesseract OCR in terms of accuracy, ease of use, deployment options, pricing, integration capabilities, and support is crucial for choosing the right OCR tool to optimize document processing workflows effectively.
AWS Rekognition has an OCR feature but can recognize only up to 50 words per image, which is a deal-breaker for us. (see my tweet).
Also, we discovered fantastic speed and quality improvements in the 4.x versions of Tesseract. Meanwhile, the quality of AWS Rekognition's OCR remains to be mediocre in comparison.
We run Tesseract serverlessly in AWS Lambda via aws-lambda-tesseract library that we made open-source.
Pros of Docparser
Pros of Tesseract OCR
- Building training set is easy5
- Very lightweight library2
Sign up to add or upvote prosMake informed product decisions
Cons of Docparser
Cons of Tesseract OCR
- Works best with white background and black text1