Supercharge your OCR Pipelines with Open Models

Modern Optical Character Recognition (OCR) has been significantly advanced by vision-language models, offering capabilities far beyond simple text transcription. These models can handle complex components like tables and charts, process various scripts, and generate structured outputs in formats like HTML, Markdown, or DocTags. The selection of an appropriate open-weight model depends on the specific use case, such as digital reconstruction, input for an LLM, or programmatic analysis. Advanced techniques also incorporate layout metadata to preserve reading order and enable functionalities like document question answering and visual retrieval.