olmOCR-2-7B-1025 is an open-source multimodal large language model developed by the Allen Institute for AI. It specializes in optical character recognition (OCR), document layout analysis, and structured information extraction from scanned or digital documents. The model accepts both text and image inputs, making it suitable for processing complex PDFs, forms, and scanned materials in research or production pipelines.
is a Foundation models & chat project. It focuses on converting complex document images into structured, machine-readable text and layout data at high accuracy. It is built as an open-source project for developers and researchers. The project is open source (Apache-2.0). It ships for the web, the command line, and API.
Allen Institute for AI builds and maintains , and it first shipped in 2024. The project is developed in the open on GitHub with 19.2k stars. Among its 4 catalogued features are Document OCR, Layout Analysis, and Multimodal Understanding. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do