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Description
Business data often exists in various formats and originates from multiple sources. Much of this data tends to be unstructured or semi-structured, making it challenging to utilize effectively. Intelligent Document Processing (IDP) harnesses the power of AI and programmable automation, including the handling of repetitive tasks, to transform this data into organized, structured formats suitable for downstream systems. By employing Natural Language Processing (NLP), Computer Vision (CV), Optical Character Recognition (OCR), and machine learning techniques, Blox.ai efficiently identifies, labels, and extracts pertinent information from a wide range of documents. Subsequently, the AI organizes this information into a structured format and develops a model that can be applied to similar document types in the future. Furthermore, the Blox.ai stack is designed to align the extracted data with specific business needs and seamlessly transfer the output to downstream systems, ensuring a smooth workflow. This innovative approach not only enhances data usability but also streamlines overall business operations.
Description
DeepTagger is an innovative, no-code platform that utilizes artificial intelligence to transform various document types, such as PDFs, images, and Word files, into organized and actionable data using a user-friendly "highlight-and-label" system. Users simply upload their documents, select the relevant data points, and train the model through examples instead of relying on rigid templates, after which they can execute predictions, export their findings, and improve accuracy. The platform is designed to manage intricate structures, such as line items within invoices and tables within other tables, while also accommodating scanned documents and low-resolution images thanks to its powerful optical character recognition (OCR) capabilities. Additionally, DeepTagger includes functionalities for splitting multi-document PDFs, understanding intent and context, and position-aware extraction to differentiate repeated phrases for more precise data retrieval. Its pricing model is based on usage and offers a free tier for processing up to 200 documents, while higher subscription levels provide access to enhanced features, including batch prediction, nested schemas, priority support, a multi-tenant architecture, and compliance suitable for enterprise needs. Overall, DeepTagger stands out as a versatile solution for those looking to streamline their document processing and data extraction workflows.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Microsoft Word
Pricing Details
$650
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Blox.ai
Founded
2013
Country
United States
Website
getblox.ai
Vendor Details
Company Name
DeepTagger
Country
United States
Website
deeptagger.com
Product Features
Content Moderation
Artificial Intelligence
Audio Moderation
Brand Moderation
Comment Moderation
Customizable Filters
Image Moderation
Moderation by Humans
Reporting / Analytics
Social Media Moderation
User-Generated Content (UGC) Moderation
Video Moderation
Data Cleansing
Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Phone/Email Validation
Raw Data Ingestion
Sample Testing
Validation / Matching / Reconciliation
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
Product Features
Data Extraction
Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction