> LightOnOCR-3-0.8B, developed by lightonai, is the lightest and most efficient model in the LightOnOCR-3 family, designed for end-to-end Optical Character Recognition (OCR) and comprehensive document understanding. Built on the Qwen3.5 vision-language architecture, it streamlines complex document pipelines into a single model featuring two primary modes: a default transcription mode that outputs full-page Markdown text, and a "grounding" mode that returns bounding box coordinates and semantic labels for every visual element. Beyond standard text extraction, the model provides advanced visual understanding by automatically describing images and converting charts into structured HTML data tables. Capable of processing diverse formats—including tables, receipts, forms, multi-column layouts, and math notation—LightOnOCR-3-0.8B offers a fast, versatile, and Apache 2.0-licensed solution for both commercial and research document processing tasks.

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LightOnOCR-3-0.8B-MLX

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LightOnOCR-3-1B-GGUF

prithivMLmods

> **LightOnOCR-3-1B**, developed by lightonai, is a highly performant, lightweight OCR and end-to-end document understanding model designed as a seamless, drop-in upgrade for existing LightOnOCR-2 deployments. Released under the Apache 2.0 license, it retains the proven LightOnOCR-2-1B architecture while introducing powerful new visual understanding capabilities, including a **grounding mode** (triggered by the `grounding` prompt) that outputs labeled bounding boxes for all document elements in normalized page coordinates, short descriptions for images, and structured HTML data extraction from charts. Alongside its default **transcription mode** that outputs full-page markdown text from an empty prompt, the model is highly versatile—effortlessly handling complex multi-column layouts, tables, receipts, forms, handwriting, and math notation—offering a ready-to-use, single-model alternative to traditional, multi-stage document processing pipelines when images are optimally preprocessed at 200 DPI.

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LightOnOCR-3-4B-GGUF

prithivMLmods

> **LightOnOCR-3-4B**, developed by lightonai, is the largest and most accurate model in the LightOnOCR-3 family of end-to-end OCR vision-language models, built on the Qwen3.5-4B architecture and released under the Apache 2.0 license. Recommended for most OCR tasks, it serves as a powerful, single-model alternative to complex document understanding pipelines by combining high-quality text transcription (triggered by an empty prompt) with advanced visual understanding features. When used with the `grounding` prompt, the model outputs labeled bounding boxes for all document elements, generates short descriptions for images, and extracts numerical data from charts into structured HTML tables. Highly versatile and optimized for seamless integration with Transformers and vLLM, it excels at processing complex layouts—including tables, receipts, forms, multi-column documents, and math notation—and performs best when documents are preprocessed at 400 DPI with a target longest dimension of 2048px.

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