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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Docling is a user-friendly, self-sufficient, open-source toolkit licensed under MIT that facilitates the transformation of disorganized documents into structured data, thereby enhancing subsequent document and AI workflows. This versatile tool can interpret a wide array of document types, including PDF, DOCX, PPTX, XLSX, HTML, Markdown, AsciiDoc, CSV, images, audio files, and even scanned documents using any preferred OCR engine. Docling proficiently identifies and processes various elements such as tables, formulas, reading sequences, bounding boxes, headers, footers, images, captions, code snippets, list items, paragraphs, and overall document architecture, which significantly aids in the searchability and integration of the extracted content into AI systems, retrieval-augmented generation, and agent-based applications. Furthermore, it allows for exporting the parsed output in formats like JSON, plain text, Markdown, HTML, and Doctags, thus providing developers with versatile options for their development pipelines and applications. By efficiently organizing and managing components based on reading sequence, Docling breaks down documents into manageable, continuous text segments, optimizing the processing experience.

Description

Parse2ERP is a software solution designed for extracting data from documents such as PDF invoices, purchase orders, and statements for teams. It efficiently reads these documents, pulls out necessary information, and formats the data for integration into business processes. Users have the ability to export the extracted details into Excel or generate files that are ready for import into other systems. This tool is particularly beneficial for teams in operations, finance, and manufacturing that need to convert data from various business documents into organized records. Additionally, Parse2ERP is part of Gentle Reminder's suite of workflow automation tools. Its primary application revolves around transforming information found in standard business PDFs into usable data, thereby eliminating the need for tedious manual entry for each data field. This not only streamlines workflows but also enhances accuracy and efficiency within teams.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

Google Sheets Yes 
HTML Yes 
JSON Yes 
Markdown Yes 
Microsoft Excel Yes 
Model Context Protocol (MCP) Yes 
Python Yes 

Integrations

Google Sheets No 
HTML No 
JSON No 
Markdown No 
Microsoft Excel No 
Model Context Protocol (MCP) No 
Python No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Docling

Country

United States

Website

www.docling.ai/

Vendor Details

Company Name

Gentle Reminder

Founded

2019

Country

India

Website

gentlereminder.in/

Product Features

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 

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 

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