Media & File Processing

Definition: Media & File Processing in Taskade enables AI-powered understanding of uploaded documents, images, and media files. Content is extracted, indexed, and made available to search and AI agents for comprehensive workspace intelligence.

Supported File Processing

Documents:

• PDF text extraction and indexing
• Word documents and rich text
• Markdown and plain text files
• Spreadsheet content parsing

Images:

• OCR text extraction from screenshots and photos
• Image content analysis for search indexing
• Diagram and chart understanding

Media:

• File metadata extraction and indexing
• Attachment organization within projects

How File Processing Works

Upload: Drag and drop files into any project or upload through the attachment interface

Extract: AI processes the file content - extracting text from PDFs via parsing, recognizing text in images via OCR, and indexing all content for search

Index: Extracted content enters both the full-text and semantic search indexes, making file contents discoverable alongside native project content

Access: AI agents can reference file content when answering questions, and search results include matches from within uploaded files

AI Agent File Integration

Knowledge Enrichment: Upload training materials, product docs, or process guides - agents automatically incorporate file content into their knowledge base.

Document Q&A: Ask agents questions about uploaded documents. "What are the key terms in this contract?" works because the agent can access the extracted text.

Cross-Reference: Agents combine information from uploaded files with project content to provide comprehensive responses.

Practical Use Cases

Onboarding Documentation: Upload company handbooks and process guides. New team members ask agents questions and get answers sourced from the actual documents.

Research Projects: Upload papers, reports, and reference materials. Search across all uploaded content to find relevant information.

Client Work: Upload client briefs, contracts, and requirements. AI agents reference these documents when helping with project tasks.

Knowledge Base: Build a searchable knowledge base by uploading existing documentation into organized projects.

File Management

Organization: Files attach to specific project nodes for clear context and organization
Version Tracking: Upload updated versions while maintaining history
Access Control: File access follows project permissions
Storage: Files stored securely with workspace-level encryption

Related Wiki Pages: Search & Discovery, AI Agents, Knowledge DNA