screenshot-to-code vs VisionAgent
Side-by-side comparison of two AI agent tools
Short answer
- VisionAgent has had no commit in 13 months; screenshot-to-code is actively maintained (58 commits in the last 90 days).
- screenshot-to-code is growing faster: +1,240 GitHub stars in the last 30 days vs +5 for VisionAgent.
- Pick screenshot-to-code for: drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue). Pick VisionAgent for: this tool has been deprecated.
From GitHub data refreshed daily.
screenshot-to-codeopen-source
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
VisionAgentopen-source
This tool has been deprecated. Use Agentic Document Extraction instead.
Metrics
| screenshot-to-code | VisionAgent | |
|---|---|---|
| Stars | 79.9k | 5.3k |
| Star velocity /mo | 1.2k | 4.578947368421053 |
| Commits (90d) | 58 | 0 |
| Releases (6m) | 0 | 0 |
| Downloads (30d, npm + PyPI) | — | 496 |
| Overall score | 0.5382483256328683 | 0.1789833500605415 |
Pros
- +Multi-framework support with clean output in HTML/Tailwind, React, Vue, Bootstrap, and SVG formats
- +Integration with leading AI models (Gemini 3, Claude Opus 4.5, GPT-5) ensuring high-quality code generation
- +Experimental video-to-code feature enables conversion of screen recordings into functional prototypes
- +Automated vision model selection and code generation from simple prompts and images
- +Integrated with multiple AI providers (Anthropic and Google) for robust visual reasoning capabilities
- +Included local webapp interface for easy testing and experimentation
Cons
- -Requires API keys from paid AI services (OpenAI, Anthropic, or Google), adding ongoing operational costs
- -Quality heavily dependent on AI model performance, with open-source alternatives like Ollama producing poor results
- -Limited to visual conversion - cannot understand complex business logic or backend functionality
- -Tool has been officially deprecated and is no longer supported or maintained
- -Required multiple external API keys (Anthropic and Google) adding complexity and cost
- -Limited to Python 3.9+ environments restricting compatibility with older systems
Use Cases
- •Rapid prototyping where designers can quickly convert mockups into working code for client demos
- •Design system implementation to transform Figma components into consistent React/Vue component libraries
- •Legacy interface modernization by screenshotting old UIs and converting them to modern framework code
- •Rapid prototyping of computer vision applications from image-based requirements
- •Automated generation of vision processing code for developers without deep ML expertise
- •Educational exploration of visual AI capabilities through interactive prompt-to-code workflows
FAQ
- Which is more popular, screenshot-to-code or VisionAgent?
- screenshot-to-code has more GitHub stars (79,946 vs 5,305).
- Which is more actively developed, screenshot-to-code or VisionAgent?
- screenshot-to-code had more commits in the last 90 days (58 vs 0).
- Should I use screenshot-to-code or VisionAgent?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.