Vision

Overview

Who is this for? Developers building applications that need to analyze, understand, or extract information from images, screenshots, documents, charts, and visual content.

What you'll achieve: Enable AI models to see and understand visual content, extract text, analyze charts, describe images, and answer questions about visual data across multiple providers.

Vision capabilities allow AI models to process and understand images alongside text, enabling multimodal conversations and visual content analysis.

Supported Providers

Basic Vision Usage

Single Image Analysis

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Base64 Image Upload

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Advanced Vision Features

Multiple Image Analysis

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Vision with Detail Control

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Streaming Vision Responses

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Implementation Examples

Node.js Vision Analysis

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Python Vision Processing

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React Vision Upload Component

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Use Cases

Document Analysis

• OCR and Text Extraction: Extract text from scanned documents, receipts, business cards
• Form Processing: Analyze forms and extract field values
• Invoice Processing: Extract line items, totals, dates from invoices
• ID Verification: Read information from driver's licenses, passports

Visual Content Analysis

• Product Catalogs: Describe products, extract specifications
• Social Media: Analyze user-generated visual content
• Quality Control: Inspect products for defects or compliance
• Medical Imaging: Basic analysis of X-rays, scans (with proper disclaimers)

UI/UX Analysis

• Design Review: Analyze mockups and provide feedback
• A/B Testing: Compare different design variations
• Accessibility: Identify accessibility issues in interfaces
• Competitive Analysis: Compare competitor interfaces

Chart and Data Visualization

• Business Intelligence: Extract insights from charts and graphs
• Report Generation: Convert visual data to written analysis
• Trend Analysis: Identify patterns in visual data representations

Provider-Specific Features

OpenAI GPT-4V

• High Accuracy: Excellent for detailed analysis and OCR
• Multiple Images: Support for up to 10 images per request
• Detail Control: Low/high resolution processing options
• JSON Mode: Structured output for data extraction

Anthropic Claude 3.5 Sonnet

• Large Images: Supports up to 5000x5000 pixel images
• Multiple Images: Up to 20 images per conversation
• Reasoning: Strong analytical and reasoning capabilities
• Streaming: Real-time vision analysis responses

Google AI Gemini

• Unlimited Images: No limit on images per request
• HEIC Support: Native support for iOS HEIC format
• Code Generation: Can generate code based on UI screenshots
• Multilingual: Strong support for non-English text in images

Best Practices

Image Optimization

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Error Handling

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Troubleshooting

Common Issues

Image Format Errors
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Next Steps

• Tool Calling: Combine vision with function calls
• Structured Outputs: Extract structured data from images
• Streaming: Stream vision analysis responses