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GoFigr Docs

Document Import

Overview

Section titled “Overview”

Document Import extracts figures from existing PowerPoint presentations and Word documents and brings them into your figure library. GoFigr pulls out the images, generates titles with AI, and links each figure back to its source document—useful for organizing past presentations or tracking figures from collaborators’ files.

Key Benefits for Users

Section titled “Key Benefits for Users”

Rescue Figures from the Slide Deck Graveyard

Section titled “Rescue Figures from the Slide Deck Graveyard”
  • Extract All Images: Every image in your PowerPoint or Word document is automatically extracted
  • Organize Legacy Content: Transform scattered presentations into a searchable figure library
  • No Manual Work: Skip the tedious process of right-click-save-as for every figure

AI-Powered Intelligence

Section titled “AI-Powered Intelligence”
  • Smart Figure Titles: AI analyzes slide content and context to generate meaningful figure names
  • Context-Aware Naming: Titles reflect what’s on the slide, not generic names like “image1.png”
  • OCR-Based Matching: QR codes with GoFigr UUIDs are detected to match figures to existing tracked figures

Full Document Provenance

Section titled “Full Document Provenance”
  • Source Linking: Every extracted figure links back to its source document
  • Slide/Page Context: Know exactly which slide or page each figure came from
  • Duplicate Detection: Identical figures are recognized and not duplicated in your library

How It Works

Section titled “How It Works”

Importing PowerPoint Files (.pptx)

Section titled “Importing PowerPoint Files (.pptx)”

Step 1: Upload Your Presentation

Section titled “Step 1: Upload Your Presentation”
  1. Navigate to the Import page
  2. Select your workspace
  3. Drag and drop or browse to select your .pptx file
  4. Click “Upload”

Step 2: Automatic Processing

Section titled “Step 2: Automatic Processing”

GoFigr processes your presentation:

  1. Document Storage: The full presentation is stored as an asset
  2. Slide Scanning: Each slide is examined for images
  3. Image Extraction: All images are extracted with metadata
  4. AI Title Generation: Slide text is used to generate descriptive figure titles
  5. UUID Detection: QR codes are scanned for GoFigr figure UUIDs
  6. Figure Creation: Each image becomes a tracked figure in your library

Step 3: Review Results

Section titled “Step 3: Review Results”
  • View the extracted figures in your workspace
  • Each figure shows its source presentation
  • Click through to the original slide location
  • Edit titles if the AI suggestions need refinement

Importing Word Documents (.docx)

Section titled “Importing Word Documents (.docx)”

Step 1: Upload Your Document

Section titled “Step 1: Upload Your Document”
  1. Navigate to the Import page
  2. Select your workspace
  3. Upload your .docx file
  4. Processing begins automatically

Step 2: Automatic Processing

Section titled “Step 2: Automatic Processing”

GoFigr processes your document:

  1. Document Storage: The Word file is stored as an asset
  2. Structure Analysis: Document hierarchy is traversed
  3. Image Extraction: All embedded images are extracted
  4. Context Capture: Surrounding text is used for AI title generation
  5. Figure Creation: Each image becomes a tracked figure

Step 3: Review and Organize

Section titled “Step 3: Review and Organize”
  • Extracted figures appear in your workspace
  • Linked to the source Word document
  • Organized by the analysis (named after the document)

AI-Powered Title Generation

Section titled “AI-Powered Title Generation”

How It Works

Section titled “How It Works”

When AI title generation is enabled:

  1. Context Extraction: For PowerPoint, slide title and body text are captured
  2. Semantic Analysis: AI understands what the slide/page is about
  3. Relevant Naming: Titles describe the figure’s content, not generic identifiers
  4. Batch Processing: Multiple titles generated efficiently in a single AI call

Examples

Section titled “Examples”
Generic Name AI-Generated Title
image1.png “Survival curves by treatment group”
Picture 3 “Gene expression heatmap - top 50 genes”
Slide4_shape2.png “ROC curve comparison - Model A vs B”

When AI Naming Helps Most

Section titled “When AI Naming Helps Most”
  • Presentations with descriptive slide titles
  • Documents with figure captions
  • Scientific figures with contextual text nearby

QR Code and UUID Detection

Section titled “QR Code and UUID Detection”

Automatic Figure Matching

Section titled “Automatic Figure Matching”

If your figures contain GoFigr QR codes:

  1. QR Scanning: Images are scanned for QR codes
  2. UUID Extraction: GoFigr UUIDs are extracted from detected codes
  3. Revision Matching: UUIDs are matched against existing figure revisions
  4. Deduplication: Matched figures link to existing revisions instead of creating duplicates

When This Helps

Section titled “When This Helps”
  • Re-importing presentations that contain tracked GoFigr figures
  • Maintaining a single source of truth for each figure
  • Preserving figure history across document versions

Source Document Linking

Section titled “Source Document Linking”

Bidirectional Connections

Section titled “Bidirectional Connections”

Every imported figure maintains links to its source:

From Figure View:

  • “Source: Q4_Results.pptx” with clickable link
  • “Slide 7, Shape 3” position metadata
  • Direct navigation to the document

From Document View:

  • List of all figures extracted from this document
  • Thumbnails with links to full figure views
  • Extraction status and metadata

Document Preview

Section titled “Document Preview”

Imported documents are viewable within GoFigr:

  • PowerPoint Preview: Navigate through slides
  • Word Preview: Scroll through document content
  • Specialized Views: Optimized rendering for each format

Import Metadata

Section titled “Import Metadata”

What’s Captured

Section titled “What’s Captured”

For each imported figure:

Metadata Description
Source Type “powerpoint” or “word”
File Name Original document filename
File Size Document size in bytes
Slide/Page Index Position in the document
Shape Index Which shape on the slide (PPT)
Surrounding Text Text context used for AI naming
Import Timestamp When the import occurred

Using Metadata

Section titled “Using Metadata”
  • Search for figures by source document
  • Filter by import date
  • Track provenance for compliance

Handling Duplicates

Section titled “Handling Duplicates”

Hash-Based Detection

Section titled “Hash-Based Detection”

GoFigr uses content hashing to detect duplicates:

  1. Each image’s content is hashed
  2. Hash is compared against existing figures in the workspace
  3. Matching hash = existing figure is reused
  4. New hash = new figure revision created

UUID-Based Detection

Section titled “UUID-Based Detection”

For GoFigr-watermarked figures:

  1. QR codes are scanned for UUIDs
  2. UUIDs identify specific figure revisions
  3. Matching UUID links to existing revision
  4. No duplicate figures created

Benefits

Section titled “Benefits”
  • Clean, deduplicated figure library
  • Single source of truth for each figure
  • History preserved across imports

How to Access

Section titled “How to Access”

Via the Import Page

Section titled “Via the Import Page”
  1. Click “Import” in the main navigation
  2. Select your workspace
  3. Choose “Upload Files”
  4. Drop your .pptx or .docx files
  5. Monitor progress in the task modal

Via Drag and Drop

Section titled “Via Drag and Drop”
  1. Navigate to your workspace view
  2. Drag documents directly onto the page
  3. Import processing begins automatically

Supported Formats

Section titled “Supported Formats”
Format Extension Notes
PowerPoint .pptx Modern XML format
Word .docx Modern XML format
Legacy PowerPoint .ppt Limited support
Legacy Word .doc Not currently supported

Best Practices

Section titled “Best Practices”

Before Importing

Section titled “Before Importing”
  1. Use Modern Formats: Convert .ppt to .pptx and .doc to .docx for best results
  2. Clean Up Decorative Images: Remove logos, backgrounds, and non-figure images that you don’t want tracked
  3. Add Descriptive Slide Titles: Better slide titles = better AI-generated figure names

After Importing

Section titled “After Importing”
  1. Review AI Titles: Check and edit any titles that need refinement
  2. Organize into Analyses: Group related figures if they span multiple documents
  3. Set Up Tracking: Enable figure tracking for ongoing updates

For Large Presentations

Section titled “For Large Presentations”
  1. Import in Batches: Break very large presentations into smaller files if needed
  2. Monitor Progress: Use the task modal to track import status
  3. Check Results: Review extracted figures for completeness

Technical Details

Section titled “Technical Details”

Image Extraction

Section titled “Image Extraction”
  • PowerPoint: Uses python-pptx to access slide shapes and embedded images
  • Word: Uses python-docx to traverse document structure and extract images
  • Formats Supported: PNG, JPEG, GIF, TIFF, BMP, WMF, EMF

AI Integration

Section titled “AI Integration”
  • Powered by Amazon Bedrock
  • Uses slide/document context for intelligent naming
  • Respects AI quotas and rate limits

Storage

Section titled “Storage”
  • Original documents stored as assets
  • Extracted images stored as figure revisions
  • Full provenance chain maintained

Processing

Section titled “Processing”
  • Asynchronous processing via task queue
  • Progress tracking via WebSocket updates
  • Error recovery for partial failures