Agentic Object Detection and Document Extraction With Landing.ai
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A hands-on exploration of two capabilities from Landing.ai, Andrew Ng’s computer vision startup: agentic object detection and agentic document extraction.
The object detection side skips model training entirely. Instead of labeling hundreds of images, you describe what you want to find in plain language and the model locates it. In testing, this worked on prompts like “coffee cup with a plant design” and “windows with room lights on” across real photos with high accuracy.
The document extraction side converts invoices, lab reports, and mixed-layout PDFs into clean markdown or JSON output. Processing that once took over two minutes now completes in about eight seconds, as noted in Andrew Ng’s announcement on X.
Read the full post (see related post button below) for screenshots, demo video, use cases, and notes on Landing.ai’s support responsiveness.
