Docear is an academic literature management suite designed to help users organize, create, and discover academic literature. It combines PDF management, reference management, and mind mapping into a single application, allowing users to sort documents and annotations, draft papers, and receive literature recommendations.

Features
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Must Have

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Automated Sorting Rules

AI File Chat

Cloud Storage Integration

Privacy Controls

Semantic Search

Automated Folder Organization

Conversational AI Interface

File Editing & Renaming

User Feedback Learning

Other

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Local File Access

Feedback-Driven Refinement

Manual Approval Workflow

Demo Mode

Usage Credits & Quotas

Multi-User Collaboration

Enterprise SSO & Compliance

Centralized Team Billing

Advanced AI Model

Data Encryption & Security

Cloud Storage Integrations

Local File System Access

File Cleaning & Deduplication

Content-based Q&A

Security & Privacy Controls

Version History

Multi-tier Pricing Plans

User Roles & Permissions

Cross-platform Support

Bulk Operations & Batch Processing

Customizable Sorting Rules

Notifications & Reminders

Rationale

Docear is an academic literature management suite that focuses on organizing PDFs and annotations. While it offers features like sorting documents and annotations into categories, and a recommender system, it lacks the conversational AI interface and direct AI-powered file manipulation that are core to Dynbox. It does have automated sorting rules for files and annotations, and it accesses local files, but it doesn't align with the AI-driven, natural language interaction for general file management as described for Dynbox.

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