Software Alternatives, Accelerators & Startups

Amazon Textract VS DocParser

Compare Amazon Textract VS DocParser and see what are their differences

Amazon Textract logo 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.

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.
  • Amazon Textract Landing page
    Landing page //
    2023-04-13
  • DocParser Landing page
    Landing page //
    2023-10-10

Amazon Textract features and specs

  • Accurate Data Extraction
    Amazon Textract uses machine learning and OCR technologies to provide high accuracy in extracting text and structured data from various document formats.
  • Supports Multiple Formats
    Textract can handle different document types, including PDFs, scanned images, and more, making it versatile for various use cases.
  • Ease of Integration
    Amazon Textract offers APIs that are easy to integrate with other AWS services and external applications, enhancing its usability.
  • Security and Compliance
    Being part of AWS, Textract adheres to robust security and compliance standards, ensuring data protection and privacy.
  • Scalability
    Textract is highly scalable and can process large volumes of documents efficiently, catering to both small businesses and large enterprises.

Possible disadvantages of Amazon Textract

  • Cost
    Amazon Textract can become expensive as the volume of document processing increases, which may be a concern for small businesses with limited budgets.
  • Complexity of Setup
    Though integration is straightforward, initial setup and configuration can be complex, requiring familiarity with AWS services and APIs.
  • Limited Advanced Features
    Textract may lack some advanced features and customization options that are available in more specialized OCR alternatives.
  • Dependency on AWS Ecosystem
    Exclusive reliance on AWS services can be a drawback for organizations that utilize a multi-cloud or hybrid cloud strategy.
  • Quality of Original Documents
    Textract’s accuracy largely depends on the quality of the original documents. Poor quality scans or heavily damaged documents may yield less accurate results.

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.

Amazon Textract videos

Amazon Textract: First Look

More videos:

  • Review - AWS re:Invent 2018 – Announcing Amazon Textract
  • Review - Introducing Amazon Textract: Now in Preview

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 Amazon Textract and DocParser)
OCR
53 53%
47% 47
Data Extraction
0 0%
100% 100
OCR API
56 56%
44% 44
Image Recognition
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Amazon Textract and DocParser

Amazon Textract Reviews

2019 Examples to Compare OCR Services: Amazon Textract/Rekognition vs Google Vision vs Microsoft Cognitive Services
Pricing: Amazon Rekognition, Amazon Textract, Google, Microsoft. We don't really care which one you use, but Microsoft did best by our sample data. Textract was a very close second if you only need its headline feature: extracting text from digital documents. If someone wants to email bill -at- amplenote.com with comparable data for other images/services, I can try to...

DocParser Reviews

We have no reviews of DocParser yet.
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Social recommendations and mentions

Based on our record, Amazon Textract should be more popular than DocParser. It has been mentiond 37 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.

Amazon Textract mentions (37)

  • From PartyRock to Bedrock: AI-Powered Automation at Work
    We were a little concerned that working with documents and Bedrock was going to mean a bunch of effort by using Texttract. I was glad we were proven wrong. I was able to build a quick proof of concept using the Bedrock API in 10 - 15 minutes. - Source: dev.to / 3 months ago
  • Mastering Text Extraction from Multi-Page PDFs Using OCR API: A Step-by-Step Guide
    Amazon Textract is an OCR service provided by Amazon Web Services (AWS), specifically designed to extract text and data from scanned documents and images. It not only recognizes text but also comprehends the document's structure, including tables and forms. This capability makes it especially valuable for applications requiring detailed data extraction, such as invoice processing and form digitization. - Source: dev.to / 10 months ago
  • Ask HN: How to OCR a PDF and preserve whitespace?
    Did you try textract? https://aws.amazon.com/textract/ In my experience it works amazingly well with columns / tabulated content. - Source: Hacker News / 11 months ago
  • Classifying and Extracting Data using Amazon Textract
    Amazon Textract has an Analyze Lending API for evaluating and categorizing the documents contained in mortgage loan application packages, as well as extracting the data they contain. The new API can assist in processing applications quicker and with minimal errors, therefore improving the end-customer experience and lowering operational costs. - Source: dev.to / over 1 year ago
  • Ask HN: OCR for 100 year old (German) handwritten cursive script?
    You could try something like https://aws.amazon.com/textract/ or https://cloud.google.com/vision/docs/handwriting. Both have support for modern handwriting. I don't know if it will work with a script written a century ago though. - Source: Hacker News / over 1 year ago
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DocParser mentions (14)

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What are some alternatives?

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

Nanonets OCR - Intelligent text extraction using OCR and deep learning

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

Pen to Print - Pen to Print: Convert handwriting to text created and published by Serendi LTD.

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

Pen2txt - Transform handwritten notes into digital text with Pen2txt: the ultimate AI companion for flawless Handwritten Text Recognition (HTR). Combining OCR and AI for accurate, searchable, and editable results. Ideal for anyone digitizing documents.

Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.