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ease
features
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support

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Description

The simplest method for pulling data points from unstructured text involves simultaneously scanning research documents, prospectuses, and customer feedback to identify, track, and assess significant, user-defined data metrics. You can access over 100 distinct data points to enhance your investment and risk management strategies effectively. By searching and assembling customized datasets from EDGAR and various public or private resources, you can optimize your deal underwriting process. Additionally, this approach can streamline the legal workflows within capital markets and structured finance. Instantly retrieve over 100 data points to help categorize, compare, and collaborate with your clients more effectively. Deconstructing unstructured text from sources like PubMed and clinical trial data allows you to break down information into categories such as diseases, genes, proteins, and symptoms, ensuring that all your research is consolidated in one location. You can incorporate research from any source into your workspaces effortlessly with our convenient Chrome plug-in, which also enables the transformation of digital PDFs into machine-readable formats. Furthermore, you will receive outputs in JSON and HTML formats that include a detailed section hierarchy, as well as the removal of watermarks, multi-level tables, lists, headers, and footers, making your data more accessible and manageable than ever before. This comprehensive solution not only simplifies data extraction but also enhances your overall analytical capabilities.

Description

The easybits Extractor serves as a trusted community node for n8n, enabling the extraction of organized data from a variety of unstructured documents. Simply direct it towards formats such as PDFs, images, scans, invoices, receipts, or contracts, specify the required fields in straightforward terms at extractor.easybits.tech, and receive clean, easily branchable JSON in return. It utilizes two distinct engines to address all scenarios: the General engine (Gemini) which offers a broad comprehension, and the Specialized OCR-optimized engine (Mistral) designed specifically for handling dense scans effectively. The complimentary plan allows for the extraction of up to 10 fields per workflow and permits 50 API requests each month, providing ample resources for developing and deploying a functional workflow. This makes it an ideal solution for users looking to streamline data extraction processes without incurring costs.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Google Chrome
n8n

Integrations

Google Chrome
n8n

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$0
Free plan includes 50 monthly requests, unlimited pipelines with up to 10 datapoints.

Paid plans starting at 22$ with 100 monthly requests included, unlimited pipelines with unlimited datapoints.
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

NLMatics

Founded

2019

Country

United States

Website

www.nlmatics.com

Vendor Details

Company Name

easybits GmbH

Founded

2025

Country

Germany

Website

easybits.tech/

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

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

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