ToolsSeptember 10, 2026via MarkTechPost
LandingAI Releases Agentic Document Extraction Gen2 with DPT-3 Pro and DPT-3 Verity
Why it matters
LandingAI's Gen2 migration signals a shift in how document AI vendors architect their stacks — moving from chunk-based extraction to document-tree reasoning and per-word grounding. Practitioners using Gen1 face a breaking API change; the new billing model (output characters vs. flat pages) changes unit economics.
Key signals
- Agentic Document Extraction Gen2 released
- DPT-3 model family: DPT-3 Pro (line-level grounding), DPT-3 Verity (word-level grounding with confidence scores)
- Architecture shift: chunks retired in favor of document/page/block tree structure
- Billing model changed from flat pages to output characters
- Gen1 code incompatible with Gen2 endpoints (breaking API change)
- Published: September 9, 2026
- LandingAI ships Agentic Document Extraction Gen2
- Built on DPT-3 model family (Pro, Verity variants)
- Architectural shift: chunks → document/page/block tree
- DPT-3 Pro grounds to line-level; DPT-3 Verity grounds to word with confidence scores
- Billing model change: output characters instead of flat pages
- Breaking change: Gen1 code will not run on Gen2 endpoints
The hook
LandingAI rebuilt its document extraction stack around agentic primitives. Gen1 code breaks on Gen2 endpoints.
LandingAI has shipped Agentic Document Extraction Gen2, a rebuild of its document stack on the DPT-3 model family. Chunks are retired in favor of a document, page and block tree. DPT-3 Pro grounds to the line, DPT-3 Verity grounds to the word with a confidence score, and Parse billing now counts out…