Lite is a reasoning core plus a collection of specialist models (document reader, line detector, speech recognizer, segmentation). The core chooses the specialists to be executed and produces the answer in your JSON schema.
The specialist models give you: bounding boxes, word timestamps and a confidence score per each line and word. The raw outputs are returned next to the answer so that you can filter based on that. E.g., post rows above 0.9 automatically and forward the rest to a human.
Runs on a single 80 GB GPU (e.g. H100) without any additional services.
Happy to answer any questions regarding the architecture, benchmarks and limitations.