Multimodal Meeting & Recording Analysis

Meeting & Presentation Capture for Requirements Extraction

Record Microsoft Teams meetings or capture screen presentations. Multimodal AI analyzes audio transcripts and visual content to extract actionable requirements and decisions.

Why Meeting Analysis Matters for Corporate Teams

Requirements Get Lost in Meetings

Critical decisions and requirements discussed in meetings are forgotten or misinterpreted. Manual note-taking misses context, speaker intent, and visual references.

Manual Meeting Notes Are Incomplete

Note-takers can't capture everything—who said what, what was shown on screen, subtle requirement changes. Important context gets lost between meetings and implementation.

Review Time Wastes Team Resources

Teams spend hours reviewing meeting recordings manually to extract key decisions. Requirements buried in hour-long calls are hard to find and document.

Multimodal Analysis of Meetings

Audio Transcript Analysis

Complete audio transcription with speaker identification. Know exactly who proposed each requirement, who agreed, and who raised concerns.

  • Speaker identification and attribution
  • Decision point extraction
  • Action item identification

Visual Content Analysis

AI analyzes shared screens, presented documents, and key visual moments. Captures UI mockups, architecture diagrams, and other visual context critical for requirements.

  • Screen share content extraction
  • Document and diagram analysis
  • Key moment identification

Extracting Actionable Insights

After processing your meeting recording, the system analyzes both audio transcripts (with speaker identification) and visual content (shared screens, documents, key moments) to extract actionable insights. The extracted insights - summarized decisions, action items, and key discussion points - are presented in an intuitive interface where team leads can review, select, and incorporate them into actionable implementation plans.

Summarized Decisions

Key decisions extracted with context and attributed to specific speakers

Action Items

Concrete action items with owners and implicit dependencies identified

Discussion Points

Important context, concerns raised, and alternative approaches discussed

How Meeting Analysis Works

1

Record or Upload Meeting

Capture Microsoft Teams meetings, record screen presentations while presenting tasks from Jira or similar corporate tools, or upload existing recordings. Supports MP4, WebM, MOV, and AVI formats for maximum compatibility with corporate meeting tools.

2

Gemini Vision Analyzes Frames

Video is processed at your chosen FPS (1-10), and frames are analyzed by Gemini 2.5 Pro or Flash. AI identifies errors, UI states, user interactions, and visual patterns.

3

Extract Actionable Details

AI extracts error messages, UI state transitions, interaction patterns, and generates improvement suggestions with timestamps.

4

Auto-Attach to Task Description

Complete analysis is formatted and automatically attached to your task description, ready for implementation planning or bug fixing.

Powerful Analysis Capabilities

Screen Recording Built-In

Capture bugs, UI interactions, or demo flows directly in the app. No need for external recording tools or switching contexts.

  • One-click screen capture
  • Record full screen or specific windows
  • Automatic format optimization

File Upload Support

Upload existing recordings, customer bug reports, or demo videos. Supports all common video formats.

  • MP4, WebM, MOV, AVI formats
  • Drag-and-drop interface
  • Batch upload for multiple videos

FPS Control (1-10 FPS)

Adjust frame extraction rate to balance analysis detail with cost. Higher FPS for detailed interactions, lower for cost optimization.

  • 1-2 FPS: Cost-effective overview
  • 3-5 FPS: Balanced analysis
  • 6-10 FPS: Detailed UI state capture

Gemini Vision Analysis

Powered by Google Gemini 2.5 Pro or Flash for advanced vision understanding. Extracts errors, patterns, and provides suggestions.

  • Error message extraction
  • UI state detection and transitions
  • Pattern recognition and suggestions

Real-World Use Cases

Bug Capture with Full Context

Record the bug as it happens. AI extracts error messages, identifies UI states before and after the issue, and captures interaction patterns leading to the bug.

Record interaction flow
AI identifies error state
Extracts error messages
Suggests potential fixes

UI Demo Analysis

Analyze customer demos, user session recordings, or design walkthroughs. Extract UI patterns, user behavior insights, and improvement opportunities.

Upload demo recording
Track UI state changes
Identify user patterns
Extract UX insights

Onboarding Documentation

Record feature walkthroughs and generate automatic documentation. AI creates step-by-step guides with screenshots and descriptions from your recordings.

Record feature walkthrough
Extract key steps
Generate descriptions
Create documentation

Choose Your Analysis Model

Gemini 2.5 Flash

Fast, cost-effective analysis for straightforward bug captures and documentation. Ideal for high-volume usage.

  • Lower cost per frame
  • Faster processing time
  • Good for simple UI analysis

Gemini 2.5 Pro

Comprehensive analysis with deeper insights. Best for complex UI issues, detailed pattern recognition, and advanced debugging.

  • Advanced pattern recognition
  • Deeper contextual understanding
  • Better for complex UI flows

Frequently Asked Questions

Everything you need to know about PlanToCode

PlanToCode supports MP4, WebM, MOV, and AVI video formats. Videos are processed locally and frames are extracted based on your FPS settings before being sent to Gemini Vision for analysis. Most screen recording tools output compatible formats by default.
Use Gemini 2.5 Flash for straightforward bug captures, quick UI demos, and documentation where speed and cost matter. Choose Gemini 2.5 Pro for complex UI issues, detailed pattern analysis, and when you need deeper contextual understanding. Pro provides more nuanced insights but costs more per frame.
FPS recommendations based on use case: 1-2 FPS for general bug reports, long recordings, and cost optimization - captures key moments without excessive frames. 3-5 FPS for balanced analysis for most use cases - good for UI walkthroughs and standard bug captures. 6-10 FPS for detailed UI interactions, animation issues, and rapid state changes - higher cost but more comprehensive.

Transform Meeting Notes into Actionable Requirements

From Teams meetings to implementation plans. Stop losing requirements in hour-long calls. Let multimodal AI extract every decision, action item, and visual context automatically.