Docparser vs Tesseract OCR

Overview

Tesseract OCR

Stacks96

Followers286

Votes7

GitHub Stars70.7K

Forks10.4K

Docparser

Stacks9

Followers21

Votes0

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.

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Advice on Tesseract OCR, Docparser

Vladyslav

Sr. Directory of Technology at Shelf

Oct 25, 2019

Decided

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.

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Detailed Comparison

Tesseract OCR	Docparser
Tesseract was originally developed at Hewlett-Packard Laboratories Bristol and at Hewlett-Packard Co, Greeley Colorado between 1985 and 1994, with some more changes made in 1996 to port to Windows, and some C++izing in 1998. In 2005 Tesseract was open sourced by HP. Since 2006 it is developed by Google.	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.
-	Document Data Capture; Document Scraping; Zonal OCR; Pattern Recognition;PDF to JSON;PDF to Excel & CSV;PDF to XML;Google Sheets Integration; Zapier integration; Workato Integration;
Statistics
GitHub Stars 70.7K	GitHub Stars -
GitHub Forks 10.4K	GitHub Forks -
Stacks 96	Stacks 9
Followers 286	Followers 21
Votes 7	Votes 0
Pros & Cons
Pros 5 Building training set is easy 2 Very lightweight library Cons 1 Works best with white background and black text	No community feedback yet
Integrations
No integrations available	Zapier Dropbox Salesforce Sales Cloud Google Drive Stamplay Box Google Sheets

What are some alternatives to Tesseract OCR, Docparser?

Google Cloud Vision API

Google Cloud Vision API enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API.

DocRaptor

DocRaptor makes it easy to convert HTML to PDF and XLS format. Choose your document format, select configuration options and make an HTTP POST request to our server. DocRaptor returns your file in a matter of seconds. We provide extensive documentation and examples to get you started, and our API makes it easy to use DocRaptor to generate PDF and Excel files in your own web applications.

Amazon Rekognition

Amazon Rekognition is a service that makes it easy to add image analysis to your applications. With Rekognition, you can detect objects, scenes, and faces in images. You can also search and compare faces. Rekognition’s API enables you to quickly add sophisticated deep learning-based visual search and image classification to your applications.

Pandoc

It is a free and open-source document converter, widely used as a writing tool and as a basis for publishing workflows. It converts files from one markup format into another. It can convert documents in (several dialects of) Markdown, reStructuredText, textile, HTML, DocBook, LaTeX, MediaWiki markup, TWiki and many more.

Tesseract.js

This library supports over 60 languages, automatic text orientation and script detection, a simple interface for reading paragraph, word, and character bounding boxes. Tesseract.js can run either in a browser and on a server with NodeJS.

Inkfluence AI

Plan, write, and publish books, PDF guides, workbooks, and audiobooks with AI workflows. Customize branding and export instantly.

PDFGate

PDFGate offers a fast and reliable PDF API for developers. Create, process, and manage PDFs at scale with simple, powerful tools.

2dto3D

Upload any image and get a downloadable 3D model in minutes. AI-powered image to 3D conversion with professional quality GLB files. Built by people who actually use 3D tools.

ConvertFT

Free online photo editor and image tools. Batch resize, compress, convert, crop, blur, sharpen, rotate, grayscale, remove EXIF, and more—no installation required.

ReelScribe — AI Transcription

Transcribe videos and audio to text instantly with ReelScribe – the fast, accurate, and unlimited AI transcription tool. Convert MP4, MP3, or any video to text and subtitles in 145+ languages. 99.8% accuracy. Download transcripts as DOCX, PDF, TXT, or SRT.

Related Comparisons

Docparser vs Tesseract OCR: What are the differences?

Docparser vs Tesseract OCR

Overview