Software Alternatives, Accelerators & Startups

EasyOCR VS DocParser

Compare EasyOCR VS DocParser and see what are their differences

EasyOCR logo EasyOCR

NoCode AI as a service, automate text extraction from images

DocParser logo DocParser

Extract data from PDF files & automate your workflow with our reliable document parsing software. Convert PDF files to Excel, JSON or update apps with webhooks.
  • EasyOCR Landing page
    Landing page //
    2022-08-25
  • DocParser Landing page
    Landing page //
    2023-10-10

EasyOCR features and specs

  • Open Source
    EasyOCR is an open-source library, allowing users to contribute to its development and customize it for their needs without any licensing costs.
  • Multilingual Support
    It supports over 80 languages, making it versatile for use in projects that require OCR capabilities for multiple languages.
  • Ease of Use
    The library is designed to be user-friendly, providing a simple API that allows developers to quickly implement OCR functionality in their applications.
  • Active Community
    Being open-source, EasyOCR has an active community of developers who regularly contribute to its enhancements and provide support through forums and GitHub.
  • Deep Learning Model
    EasyOCR utilizes deep learning models, which generally offer better accuracy and performance compared to traditional OCR techniques for complex text and varied fonts.

Possible disadvantages of EasyOCR

  • Performance Limitations
    While it works well for many applications, EasyOCR might not match the performance of some commercial OCR solutions, particularly in terms of speed and handling extremely large-scale documents.
  • Hardware Dependencies
    EasyOCR's reliance on deep learning models means it may require more powerful hardware, such as GPUs, to perform optimally, which might not be ideal for all users.
  • Complex Image Handling
    It might struggle with extremely complex layouts or poor quality images, requiring additional preprocessing steps to achieve desired accuracy.
  • Continuous Updates
    As with many open-source projects, continuous updates and changes can sometimes lead to deprecated features or compatibility issues, requiring developers to stay updated.

DocParser features and specs

  • Ease of Use
    DocParser provides an intuitive and user-friendly interface, making it accessible for users with varying technical expertise to set up parsing rules and extract data.
  • Customization
    Users can create highly customized parsing rules, allowing for precise data extraction tailored to specific needs and document structures.
  • Automation
    The tool supports automatic processing of documents through integrations with cloud storage services and APIs, improving workflow efficiency.
  • Integration Capabilities
    DocParser integrates with various third-party applications such as Salesforce, Zapier, and Google Drive, enabling seamless data transfer and workflow automation.
  • Data Accuracy
    The advanced parsing technology ensures high accuracy in data extraction, minimizing errors and reducing the need for manual correction.

Possible disadvantages of DocParser

  • Pricing
    The cost of DocParser can be relatively high for smaller businesses or infrequent users, potentially limiting accessibility for those with limited budgets.
  • Learning Curve
    While the interface is user-friendly, setting up complex parsing rules can still have a learning curve, requiring users to invest time in understanding the tool’s full capabilities.
  • Document Complexity
    Parsing highly complex or non-standardized documents might pose challenges, and achieving perfect results could require extensive rule adjustments.
  • Limited Offline Functionality
    DocParser relies heavily on internet connectivity for data processing and integrations, potentially limiting its usability in offline environments.
  • Support for Certain File Types
    Although DocParser supports a wide range of file formats, some less common file types may not be supported, which could be a limitation for certain users.

EasyOCR videos

Optical Character Recognition with Python (Tesseract vs EasyOCR)

DocParser videos

Extract Tables From PDF to Excel, CSV or Google Sheet with Docparser

More videos:

  • Review - PDF Forms and Contracts Data Extraction - Docparser Screencast #4
  • Review - PDF Data Extraction with Docparser PDF Parser

Category Popularity

0-100% (relative to EasyOCR and DocParser)
APIs
100 100%
0% 0
Data Extraction
0 0%
100% 100
OCR
6 6%
94% 94
Productivity
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, DocParser seems to be more popular. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

EasyOCR mentions (0)

We have not tracked any mentions of EasyOCR yet. Tracking of EasyOCR recommendations started around May 2021.

DocParser mentions (14)

View more

What are some alternatives?

When comparing EasyOCR and DocParser, you can also consider the following products

Base64.ai - Extract text, data, photos and more from all types of docs

Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNets’ platform makes it straightforward and fast to create highly accurate Deep Learning models.

Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.

Nanonets OCR - Intelligent text extraction using OCR and deep learning

Rossum - Rossum is AI-powered, cloud-based invoice data capture service that speeds up invoice processing 6x, with up to 98% accuracy. It can be easily customized, integrated and scaled according to your company needs.

Unfreeze - Less typing, more coding