Vision Agents

Vision Agents is a Document Processing platform by Landing AI that transforms unstructured documents into structured, machine-readable Markdown and extracts key fields from invoices, forms, lab reports, and more, with pricing starting free with 1000 credits. It is designed for developers, data teams, and enterprises that need reliable document AI without building pipelines from scratch.

The platform is built around three core capabilities: Parse, Split, and Extract. Parse converts complex documents including multi-column layouts, tables, checkboxes, charts, and handwritten accident statements into clean Markdown that preserves reading order and document hierarchy. Split separates multi-document PDFs into individual records, which is essential for workflows processing batches of mixed files. Extract pulls specific fields such as names, dates, totals, and line items from parsed output, enabling direct integration with downstream systems like ERPs, CRMs, and analytics warehouses. Based on our analysis of 870+ AI tools, Vision Agents differentiates itself through its ability to handle specialized visual content like medical images, performance charts, and lab reports that general-purpose OCR tools typically fail on.

Landing AI, the company behind Vision Agents, was founded in 2017 by Andrew Ng, former head of Google Brain and co-founder of Coursera, giving the product deep credibility in the computer vision and enterprise AI space. Landing AI raised a $57 million Series A round led by McRock Capital in 2021. Since then, the company has shifted its product focus from its earlier LandingLens visual inspection platform toward the Vision Agents document AI product line, reflecting broader market demand for LLM-compatible document processing. The company is headquartered in San Carlos, California. The platform supports documents up to 50 pages per file and processes outputs in both Markdown and JSON formats, making it compatible with a wide range of downstream integrations.

Compared to the other Document Processing tools in our directory, Vision Agents leans toward the technical end of the market — users upload files directly through a Playground interface and receive API-ready structured outputs, making it better suited for teams building document automation into their own applications rather than business users seeking a no-code tool. Credit consumption varies by operation and document complexity: Parse operations typically consume 1–3 credits per page depending on layout density, Split operations consume roughly 1 credit per split boundary detected, and Extract operations consume 1–2 credits per page depending on the number of fields requested. A typical 5-page invoice workflow using Parse plus Extract would consume approximately 10–25 credits. The freemium model with 1000 free starter credits lets teams validate accuracy on their own document samples before committing to a paid plan. Landing AI offers volume-based paid tiers for production workloads — while exact per-credit pricing is not listed on the public landing page, paid plans are structured as monthly credit packages with volume discounts, and users can request a quote or start a trial through the sign-up flow to see tiered pricing.