OmniParser

OmniParser's Vue d'ensemble

OmniParser V2 is an advanced tool developed by Microsoft Research that transforms any large language model (LLM) into a computer use agent, specifically for GUI automation. It enhances the ability of LLMs to understand and interact with user interfaces by converting UI screenshots into structured elements. This allows for accurate action prediction and execution. OmniParser V2 improves upon its predecessor by offering higher accuracy in detecting smaller interactable elements and faster inference speeds, reducing latency by 60%. It is trained with extensive interactive element detection data and icon functional caption data, achieving state-of-the-art accuracy on the ScreenSpot Pro benchmark. OmniParser V2 is integrated with OmniTool, a dockerized Windows system, enabling compatibility with various LLMs like OpenAI, DeepSeek, Qwen, and Anthropic. The tool adheres to Microsoft's AI principles, ensuring responsible AI practices and risk mitigation strategies are in place.

OmniParser's Caractéristiques

• Transforms LLMs into GUI agents

• High accuracy in detecting small elements

• Fast inference with 60% reduced latency

• Integration with multiple LLMs

• Adheres to responsible AI practices

• Open-source availability

• Supports GUI automation

• Trained with extensive data

OmniParser's Q&R

OmniParser's Avantages et inconvénients

OmniParser's Cas d'utilisation

• GUI automation
• Screen understanding
• Action prediction and execution
• Interactive element detection

OmniParser's Public cible

• Software developers
• AI researchers
• Tech companies
• UI/UX designers

OmniParser's Tarification

OmniParser V2 is available as open-source code on GitHub, allowing free access to its features and capabilities.