openai-vision

Analyze images and video frames with OpenAI GPT vision models.

1|Updated Jan 6, 2026

Search Tags:#ocr #vision ai #image analysis #multimodal ai #image comparison #gpt vision

Ready to run

npx skills add https://github.com/puyanguvic/Argis --skill openai-vision

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: openai-vision
Source: https://github.com/puyanguvic/Argis/tree/main/skillpacks/openai-vision
Command: npx skills add https://github.com/puyanguvic/Argis --skill openai-vision

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openai, base64, json, os, pathlib, PIL, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill allows you to analyze the content of images, extract text, compare visuals, and understand temporal changes in video frames using advanced AI vision models.

Core Features & Use Cases

Image Analysis: Understand objects, scenes, colors, and spatial relationships in single images.
Text Extraction (OCR): Read and extract text directly from images.
Image Comparison: Detect differences and similarities between multiple images.
Video Frame Analysis: Analyze sequences of frames to understand actions and changes over time.
Use Case: Upload a photo of a product label and ask the AI to extract the ingredients and nutritional information.

Quick Start

Analyze the image at the provided URL and describe its content in detail.

Frequently Asked Questions about openai-vision

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I extract text from an image using GPT vision models?▼

You can perform OCR to extract text from images by sending local files, URLs, or Base64 encoded images to GPT vision models, which then return the recognized text content within a structured JSON response.

Can I analyze video frames to understand temporal changes with multimodal AI?▼

Yes, multimodal AI supports multi-frame sequence analysis, allowing you to evaluate sequential video frames to understand actions, detect visual differences, and track temporal changes over time.

Does OpenAI vision support analyzing local image files and URLs?▼

OpenAI vision analysis supports multiple image sources, directly processing local image files, web URLs, and Base64 encoded data to identify objects, scenes, and spatial relationships.

What is the best way to compare multiple images for visual differences?▼

Image comparison detects similarities and differences between multiple images by leveraging GPT vision models to evaluate visual content and output structured JSON analysis results.

How do I get structured JSON output for image analysis results?▼

Image analysis provides structured JSON output containing detected objects, extracted text content, and identified colors, ensuring machine-readable results for downstream processing.