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What is contentCrawler?

contentCrawler is an innovative automated tool that enables text searchability and improves storage efficiency for all documents within a repository. Operating autonomously without the need for manual intervention, it employs Optical Character Recognition (OCR) to convert image-based files, including scanned PDFs and images, into searchable PDFs, thereby enhancing productivity and ensuring adherence to compliance standards. Additionally, the tool is equipped with a compression feature that reduces file sizes, which results in lower storage and migration costs while preserving the integrity of the documents. It is compatible with multiple image formats like TIFF, BMP, GIF, EPS, JPG, and PNG, effectively transforming them into PDFs that contain an invisible text layer to improve search capabilities. Moreover, contentCrawler provides dual processing modes that allow for simultaneous handling of both new and legacy documents, ensuring comprehensive coverage across the entire document repository. Administrators can easily track the progress of OCR and compression tasks in real-time through the administration console's dashboard, which enhances oversight and efficiency in document management. This all-encompassing strategy not only ensures that organizations can fully leverage their document accessibility but also streamlines their overall management practices, ultimately leading to improved operational effectiveness.

What is DeepSeek-OCR?

DeepSeek-OCR is an innovative open-source framework designed to explore Contexts Optical Compression, striving to enhance the boundaries of visual-text compression while analyzing the function of vision encoders through the perspective of LLMs. This pioneering model adeptly compresses large contexts using optical 2D mapping, with DeepEncoder serving as its core engine and DeepSeek3B-MoE-A570M acting as the decoding component. By effectively maintaining low activations even with high-resolution inputs, DeepEncoder achieves remarkable compression ratios, facilitating a manageable number of vision tokens crucial for document comprehension. The framework is specifically optimized for optical character recognition (OCR) and document parsing tasks associated with images and PDFs, offering inference capabilities through either vLLM or Transformers. Users can efficiently perform image OCR with streaming outputs, manage PDFs with high concurrency, or carry out batch evaluations for benchmarking. Furthermore, DeepSeek-OCR can convert documents into Markdown format, providing the ability to conduct OCR without being limited by layout constraints, parsing figures, offering detailed descriptions of images, and identifying referenced text within images. This broad range of features not only enhances its functionality but also positions DeepSeek-OCR as an essential resource for individuals seeking sophisticated document processing solutions, making it a highly versatile tool in various applications. Additionally, its continuous evolution promises further enhancements in user experience and performance.

Media

Media

Integrations Supported

Integrations Supported

DeepSeek
Markdown

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Litera

Date Founded

2001

Company Location

United States

Company Website

www.litera.com/products/contentcrawler

Company Facts

Organization Name

DeepSeek

Date Founded

2023

Company Location

China

Company Website

github.com/deepseek-ai/DeepSeek-OCR

Categories and Features

Document Scanner

Not specified

Categories and Features

AI Models

Not specified

OCR

Not specified

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