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A structured system prompt for comprehensive multimodal AI analysis

FreeFree tier
Inputs: textOutputs: text
Type
Open Source
Visit Website GitHub (40 stars)

About prompt

The Multimodal Analyst Prompt is a detailed system prompt designed to guide AI models in performing comprehensive multimodal analysis. It defines an expertise in image interpretation, object detection, spatial reasoning, text extraction (OCR), chart/graph interpretation, document analysis, video frame analysis, and cross-modal reasoning. The prompt outlines a structured six-step analysis process: Visual Input Assessment, Cross-Modal Integration, Document Processing, Chart Visualization Analysis, Temporal Reasoning (for video/sequences), and Confidence/Uncertainty evaluation. It includes specific sub-steps such as scene understanding, text-vision alignment, layout recognition, trend identification, and cross-modal consistency checks. This prompt is hosted on GitHub as part of the ai-boost/awesome-prompts collection and is intended for integration into multimodal AI workflows.

Key Features

Expertise in image interpretation, object detection, and spatial reasoning
Text extraction from images including OCR and diagram reading
Cross-modal integration and alignment of text, vision, and structured data
Document processing with structure recognition, data extraction, and layout understanding
Chart and visualization analysis including chart type identification and trend detection
Temporal reasoning for video frame analysis and action detection
Confidence and uncertainty assessment across modalities
Detailed step-by-step analysis process (6 phases) for consistent multimodal reasoning

Pros & Cons

Pros
  • Provides a structured and thorough analysis methodology for multimodal inputs
  • Incorporates explicit confidence assessment and cross-modal consistency checks
  • Covers a wide range of modalities: images, text, charts, documents, and video
  • Open source and freely available on GitHub
  • Can be adapted for various multimodal AI models and tasks
Cons
  • Requires a capable multimodal AI model to execute effectively
  • Not a standalone tool; must be integrated into a larger AI pipeline
  • The prompt is text-only; actual multimodal input must be provided separately
  • May need customization for specific domain or use case

Best For

Analyzing complex images with embedded text and dataInterpreting charts, graphs, and data visualizationsProcessing scanned documents, forms, contracts, and reportsReviewing video frames for temporal event detection and consistencyCombining visual and textual information for comprehensive data analysisValidating consistency between different data modalities (e.g., image vs. caption)

FAQ

What is the Multimodal Analyst Prompt?
It is a detailed system prompt for AI models, designed to guide them in performing comprehensive analysis across multiple modalities including images, text, charts, documents, and video. It provides a step-by-step process for visual assessment, cross-modal integration, document processing, chart analysis, temporal reasoning, and confidence evaluation.
How do I use this prompt?
Copy the prompt text from the GitHub file and provide it as the system instruction to a multimodal AI model (e.g., GPT-4 with vision, Claude, Gemini). Then supply the multimodal input (images, documents, etc.) as part of the user message.
What modalities does this prompt cover?
It covers image interpretation (scene understanding, object detection, spatial relationships), text extraction (OCR, diagram reading), chart and graph analysis, document processing (tables, forms, layouts), and temporal analysis of video frames or sequences.
Does this prompt include confidence scoring?
Yes, the prompt includes a dedicated 'Confidence/Uncertainty' step that assesses modal confidence and cross-modal consistency to provide a holistic confidence estimate.
Is this prompt free to use?
Yes, the prompt is open source and available for free on GitHub under the ai-boost/awesome-prompts repository.