AI Converters - Files Become Living Data

AI converters transform unstructured files into organized, actionable data. Instead of just changing file formats, they extract meaning and structure that your workspace can use.

What converters do:

• PDFs → Structured outlines with extracted insights
• Videos → Transcripts with summaries and key points
• Spreadsheets → Databases your AI agents can query
• Web pages → Clean content ready for analysis
• Images → Extracted text and visual descriptions

The output becomes part of your Workspace DNA — data that agents can reference and automations can act on.

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When you convert a file, the extracted data becomes part of your workspace memory. AI agents can then reference, analyze, and act on this data automatically.

The connection:

1. Upload and convert a file (e.g., company handbook PDF)
2. Extracted content becomes a project in your workspace
3. Connect an AI agent to that project
4. Agent can now answer questions about the content

Your converted documents become training material and context for intelligent automation. Upload your SOPs and agents know how to follow them.

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Converters support most common file formats:

• Documents — PDF, Word (.doc, .docx), TXT, RTF
• Spreadsheets — Excel (.xlsx, .xls), CSV, Google Sheets
• Presentations — PowerPoint (.pptx), Google Slides
• Media — YouTube videos, MP3, MP4, audio files
• Web — URLs, web pages, RSS feeds
• Images — PNG, JPG, screenshots with text

Each converter is optimized for its file type, extracting the most useful structure and meaning.

Conversion is more than format change. AI analyzes the content and structures it intelligently.

PDF conversion example:

• Extracts all text content
• Identifies headings and hierarchy
• Separates sections logically
• Generates a summary
• Creates searchable project

Video conversion example:

• Transcribes audio to text
• Identifies speakers (if multiple)
• Timestamps key sections
• Generates chapter markers
• Extracts key quotes and insights

The result is clean, structured data ready for use — not a raw dump.

Yes. File conversions can initiate automated workflows.

Common automation patterns:

• Contract uploaded → Extract terms → Summarize for legal review → Notify team
• Meeting recording added → Transcribe → Extract action items → Create tasks → Assign owners
• Research PDF imported → Convert → Agent analyzes → Adds findings to knowledge base
• Competitor page scraped → Convert → Compare to our product → Generate report

Conversions become the intake point for intelligent document processing pipelines.

Accuracy depends on source quality, but AI processing significantly improves on basic extraction.

Quality factors:

• Clear source files — Better input means better output
• Standard formats — Common layouts convert more reliably
• Text-based content — More accurate than handwriting or complex graphics

AI enhancement:

• Corrects OCR errors in scanned documents
• Infers structure from visual layout
• Fills gaps with contextual understanding
• Identifies and labels sections automatically

For critical documents, always review converted output. For everyday use, conversion quality is typically excellent.

Every converted file enriches your Workspace DNA — the accumulated knowledge that powers Genesis apps.

The cycle:

1. Convert — Transform files into structured data
2. Store — Data becomes projects in your Memory layer
3. Train — Agents learn from the content
4. Act — Automations use the data in workflows
5. Evolve — System gets smarter with each document

Example: Convert your company wiki → Agents understand your processes → New employees ask questions → Agents answer accurately → Fewer interruptions, faster onboarding.

This is how external knowledge becomes internal intelligence.

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