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Average Ratings 0 Ratings
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
dOCR is an innovative API and dashboard designed for extracting data from documents. Users can upload various formats such as PDFs, images, scans, or Word files, and in return, dOCR provides structured JSON containing the necessary fields instead of unrefined OCR text. With support for over 15 predefined document types—including invoices, receipts, bank statements, pay stubs, W-2s, 1099s, driver’s licenses, passports, and utility bills—it also accommodates custom document types. Developers can seamlessly integrate the service via a REST API, which offers features like webhooks, IP allowlisting, and options for processing modes that prioritize either quality or speed; meanwhile, non-developers can utilize the web dashboard for ad-hoc data extraction. The system is powered by advanced vision LLMs such as Claude Opus and Gemini, eliminating the need for users to create or manage complex parsing pipelines. Additionally, dOCR provides a free tier that allows for the extraction of up to 50 pages each month. This makes it an accessible option for both technical and non-technical users alike.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Google Sheets
HTML
JSON
Markdown
Microsoft Excel
Model Context Protocol (MCP)
Python
Integrations
Google Sheets
HTML
JSON
Markdown
Microsoft Excel
Model Context Protocol (MCP)
Python
Pricing Details
Free
Free Trial
Free Version
Pricing Details
$49/month
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
Docling
Country
United States
Website
www.docling.ai/
Vendor Details
Company Name
dOCR, Inc.
Website
docr.dev
Product 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
Product 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
Alternatives
Alternatives
No Alternatives