Software Alternatives & Reviews

Tabula VS DocParser

Compare Tabula VS DocParser and see what are their differences

Tabula logo Tabula

Tabula is a tool for liberating data tables locked inside PDF files. Extract tables from PDFs.

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.
  • Tabula Landing page
    Landing page //
    2019-03-15
  • DocParser Landing page
    Landing page //
    2023-10-10

Tabula videos

TABULA RASA Netflix - Belgian Series Review

More videos:

  • Review - Tabula Rasa (2018 Netflix) Review
  • Review - Review Tabula Rasa (2014) Kata yang Enggak Pernah Makan Nasi Padang

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 Tabula and DocParser)
PDF Tools
100 100%
0% 0
Data Extraction
10 10%
90% 90
PDF Editor
34 34%
66% 66
OCR
0 0%
100% 100

User comments

Share your experience with using Tabula and DocParser. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Tabula should be more popular than DocParser. It has been mentiond 35 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.

Tabula mentions (35)

  • Stirling-PDF: local web application to perform various operations on PDFs
    As for self-hosted web apps, Tabula (https://tabula.technology) is a great tool to extract tables from PDF files. - Source: Hacker News / 5 months ago
  • SumatraPDF Reader
    For extracting to tables I've been using http://tabula.technology/ for a couple of years. It seems to do a pretty good job even with some fairly complex tables and I've not had any problems with it. - Source: Hacker News / 7 months ago
  • Ask HN: What's the current best way to extract tables from PDFs?
    To extract tables from PDFs, you can use the following tools: 1. Tabula (https://tabula.technology): a free and open-source tool. 2. Parsio (https://parsio.io): uses pre-trained AI models for data extraction from PDFs, emails, and other formats. 3. Airparser (https://airparser.com): uses GPT approach similar to ChatGPT for data extraction from PDFs, emails, and other formats. - Source: Hacker News / 8 months ago
  • PDF tables to Excel
    You might want to look at https://tabula.technology. Source: 11 months ago
  • PDF to Excel (Free)
    Seconding the recommendation for Tabula. It's a great tool, and is free and open source. Source: 11 months ago
View more

DocParser mentions (14)

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What are some alternatives?

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

Wide Angle PDF Converter - Convert PDF documents to Word, PowerPoint, Excel, JPG and other formats!

FlexiCapture - ABBYY FlexiCapture brings together the best NLP, machine learning, and advanced recognition capabilities into a single, enterprise-scale platform to handle every type of document. Available in the Cloud, on premise or as SDK.

Apowersoft PDF Converter - Apowersoft PDF Converter is a safe and stable PDF converter, which can quickly convert PDF to Word, PPT, Excel, JPG, PNG and many more formats.

Amazon Textract - Easily extract text and data from virtually any document using Amazon Textract. Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables.

AnyMP4 PDF Converter - With versatile and powerful functions, AnyMP4 PDF Converter can absolutely convert PDF format to diversified images (TIFF, JPEG, PNG, GIF, and others) and document files (Text, Word, Excel, EPUB, HTML, and more) on Mac.

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