CAPTCHA Solving for Native GUI Agents: Automated Reasoning-Action Data Generation and Self-Corrective Training

📰 ArXiv cs.AI

ReCAP is a CAPTCHA-capable native GUI agent that uses automated reasoning-action data generation and self-corrective training

advanced Published 26 Mar 2026

Action Steps

Automated reasoning-action data generation for CAPTCHA solving
Self-corrective training for improving CAPTCHA solving accuracy
Integration with native GUI agents for end-to-end vision-language processing
Evaluation of ReCAP on various CAPTCHA types and GUI tasks

Who Needs to Know This

AI engineers and researchers working on GUI agents and CAPTCHA solving can benefit from this technology, as it enables native vision-language models to perceive raw screenshots and interact with digital devices

Key Insight

💡 ReCAP addresses the gap between specialized CAPTCHA solving pipelines and general GUI tasks by introducing a native GUI agent capable of CAPTCHA solving

Key Takeaways

ReCAP is a CAPTCHA-capable native GUI agent that uses automated reasoning-action data generation and self-corrective training

Full Article

Title: CAPTCHA Solving for Native GUI Agents: Automated Reasoning-Action Data Generation and Self-Corrective Training

Abstract:
arXiv:2603.23559v1 Announce Type: cross Abstract: GUI agents are rapidly shifting from multi-module pipelines to end-to-end, native vision-language models (VLMs) that perceive raw screenshots and directly interact with digital devices. Despite rapid progress on general GUI tasks, CAPTCHA solving remains a major challenge. On the other hand, although specialized CAPTCHA solving pipelines exist, they cannot handle general GUI tasks. To address this gap, we introduce ReCAP: a CAPTCHA-capable native

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