Today, we are announcing the second generation of Agentic Document Extraction (ADE).
It is faster, more accurate, and more affordable than ever before. ADE Gen2 delivers higher performance while optimizing cost for every document.
Pricing has been completely overhauled. Customers running mixed workloads should see 25% to 80% cost reductions.
Groundings and citations now reach the word level following a page > block> line > word hierarchy. This allows every extracted value to point to the exact location on the page it came from.
The outputs from the v2 Parse and Extract APIs are fully agent-ready and agent-friendly. Your agents get a clear hierarchy, stable IDs, and clean, standardized Markdown designed just for them.
ADE Gen2 is a step change in document intelligence not an incremental update.
Read the full announcement on the blog (link in comments).
Create an account and get started for free at https://t.co/eKLtle28Xd
Cleared ~$487k recently with this Amazon creative system.
Most brands move too slowly—they drop one set of images and sit on it for weeks. Wrong approach.
The real edge is speed + angle testing.
Map the Angles: Use AI to identify every buyer "hook" (e.g., Clean Energy, Zero Crash, Better Performance, Refreshing Taste).
The Multi-Stack: Turn each angle into a full image stack (Hero, Benefits, Ingredients, Lifestyle, Reviews).
Data > Guessing: Run multiple visual promises simultaneously. Let Amazon's data tell you which message actually converts.
Same product, different reasons to buy. Don't guess—test.
RT + Comment "LISTING" and I’ll DM the full setup.
(must be following)