Reasoning-Driven Agentic Object Detection
VisionAgent is the reasoning-driven object detection makes the human-like precision via text prompts without the overhead of custom training, made by Andrew Ng's Landing AI.
VisionAgent supports parsing accident statement forms, lab test reports, and invoices with capabilities to parse, extract, split, and classify content, allowing users to automate repetitive document processing tasks at scale.
VisionAgent provides agentic document extraction that converts documents (JPG, PNG, PDF, DOC, DOCX, PPT, PPTX, ODT) into LLM-ready data through parse, extract, split, and classify operations, enabling users to turn unstructured documents into trusted structured data.
VisionAgent transforms documents into LLM-ready data format, enabling users to feed extracted information directly into language models for further analysis, summarization, or decision-making workflows.
VisionAgent offers 1k free credits and example-based testing interface, allowing users to try extraction on sample documents (accident statements, lab reports, invoices) before committing to paid usage.