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Description
Amazon Textract is a sophisticated, fully managed machine learning service that goes beyond basic optical character recognition (OCR) to automatically extract text and data from scanned documents, including forms and tables. In today's fast-paced business environment, many organizations rely on either time-consuming manual data entry, which is both costly and error-prone, or on basic OCR software that requires frequent manual adjustments whenever forms are updated. To eliminate these cumbersome processes, Textract leverages advanced machine learning techniques to swiftly read and analyze various document types, delivering precise extraction of text, forms, tables, and additional data without necessitating any manual input or custom programming. By using Textract, businesses can streamline and automate their document processing tasks, allowing them to handle millions of pages in just a matter of hours, significantly enhancing operational efficiency. This shift not only saves time but also reduces the likelihood of human error, paving the way for more accurate and reliable data handling.
Description
Docparser extracts data from Word, PDF and image-based documents. It uses Zonal OCR technology, advanced patterns recognition and anchor keywords. To set up your document parser, there are three steps. Upload your document directly, connect with cloud storage (Dropbox. Box. Google Drive. OneDrive), email your files in attachments, or use the REST API. Docparser can extract the data you need without any programming. Use the options that best suit your document type to select preset rules that are specific to your PDF and image documents. You can either download directly to Excel, CSV or JSON formats or connect Docparser with thousands of cloud applications such as Zapier and Workato. You can choose from a variety of Docparser templates or create your own custom document rule. You can extract important invoice data and then integrate it into your accounting system. Data such as line items, dates, totals, and reference numbers can be pulled.
API Access
Has API
No
API Access
Has API
Yes
Integrations
AWS App Mesh
Yes
Amazon Augmented AI (A2I)
Yes
Axis LMS
No
Bika.ai
Yes
Box
No
Datasaur
Yes
Dropbox
No
FormKiQ
Yes
Google Drive
No
Google Sheets
No
Integrations
AWS App Mesh
No
Amazon Augmented AI (A2I)
No
Axis LMS
Yes
Bika.ai
No
Box
Yes
Datasaur
No
Dropbox
Yes
FormKiQ
No
Google Drive
Yes
Google Sheets
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Pricing Details
$39 per month
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/textract/
Vendor Details
Company Name
Docparser
Founded
2016
Country
France
Website
docparser.com
Product Features
Data Extraction
Disparate Data Collection
No
Document Extraction
No
Email Address Extraction
No
IP Address Extraction
No
Image Extraction
No
Phone Number Extraction
No
Pricing Extraction
No
Web Data Extraction
No
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
No
Named Entity Recognition
No
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
No
Part-of-Speech Tagging
No
Sentence Segmentation
No
Stemming/Lemmatization
No
Tokenization
No
OCR
Batch Processing
No
Convert to PDF
No
ID Scanning
No
Image Pre-processing
No
Indexing
No
Metadata Extraction
No
Multi-Language
No
Multiple Output Formats
No
Text Editor
No
Zone Selection Tool
No
Text Mining
Boolean Queries
No
Document Filtering
No
Graphical Data Presentation
No
Language Detection
No
Predictive Modeling
No
Sentiment Analysis
No
Summarization
No
Tagging
No
Taxonomy Classification
No
Text Analysis
No
Topic Clustering
No
Product Features
Data Extraction
Disparate Data Collection
Yes
Document Extraction
Yes
Email Address Extraction
No
IP Address Extraction
No
Image Extraction
No
Phone Number Extraction
Yes
Pricing Extraction
Yes
Web Data Extraction
No
