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What is dOCR?

dOCR is a cutting-edge API and dashboard specifically crafted for the task of data extraction from various document types. Users have the flexibility to upload multiple formats, including PDFs, images, scans, and Word documents, and in exchange, dOCR delivers structured JSON that captures essential fields rather than just raw OCR text. With the capability to handle over 15 predefined document categories—such as invoices, receipts, bank statements, pay stubs, W-2s, 1099s, driver's licenses, passports, and utility bills—it also allows for the addition of custom document types. Developers can effortlessly incorporate the service through a REST API, which includes functionalities like webhooks, IP allowlisting, and different processing modes that can be tailored for quality or speed; conversely, non-developers can take advantage of the web dashboard for immediate data extraction needs. The platform is underpinned by sophisticated vision LLMs like Claude Opus and Gemini, which means users do not have to worry about establishing or managing intricate parsing pipelines. Moreover, dOCR offers a free tier that enables the extraction of up to 50 pages per month, making it an appealing choice for both tech-savvy and non-technical individuals. As a result, its user-friendly design and diverse features ensure that anyone can benefit from efficient document data extraction.

What is Amazon Textract?

Amazon Textract is an advanced, fully managed machine learning service that surpasses standard optical character recognition (OCR) by automatically extracting text and information from scanned documents, such as forms and tables. In the current fast-paced business landscape, numerous organizations find themselves caught between labor-intensive manual data entry, which is both expensive and prone to mistakes, and basic OCR solutions that often require frequent manual tweaks with every form update. To overcome these tedious challenges, Textract employs cutting-edge machine learning methodologies to efficiently read and interpret a variety of document types, facilitating accurate extraction of text, forms, tables, and other data without the need for manual input or bespoke programming. By implementing Textract, companies can optimize and automate their document processing workflows, enabling them to process millions of pages within hours and significantly improving operational effectiveness. This transformation not only accelerates workflows but also minimizes the potential for human error, leading to more precise and trustworthy data management. Furthermore, as businesses increasingly embrace automation, they can redirect their focus towards strategic initiatives, fostering innovation and growth.

Media

No images available

Media

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon Augmented AI (A2I)
Amazon Quick Suite
Bika.ai
Camunda
Datasaur
FormKiQ
Kognitos
Mantium
n8n

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon Augmented AI (A2I)
Amazon Quick Suite
Bika.ai
Camunda
Datasaur
FormKiQ
Kognitos
Mantium
n8n

API Availability

Has API

API Availability

Has API

Pricing Information

$49/month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

dOCR, Inc.

Company Website

docr.dev

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/textract/

Categories and Features

OCR

Batch Processing
Convert to PDF
ID Scanning
Image Pre-processing
Indexing
Metadata Extraction
Multi-Language
Multiple Output Formats
Text Editor
Zone Selection Tool

Categories and Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

OCR

Batch Processing
Convert to PDF
ID Scanning
Image Pre-processing
Indexing
Metadata Extraction
Multi-Language
Multiple Output Formats
Text Editor
Zone Selection Tool

Text Mining

Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

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