Smarter document extraction starts here.

Scene text image super-resolution (STISR) aims to improve the visual clarity of the text in low-resolution scene images. Due to the intrinsic lack of detailed text appearance information in the ...

Process Diverse Data Types at Scale: Through the Unstructured partnership, organizations can automatically parse and transform documents, PDFs, images, and audio into high-quality embeddings at ...

We developed and evaluated a pipeline combining Mistral Large LLM and a postprocessing phase. The pipeline's performance was assessed both at document and patient levels. For evaluation, two data sets ...

Medical free texts such as pathology reports contain valuable clinical data but are challenging to structure at scale. Traditional natural language processing approaches require extensive annotated ...

OCR Extractor is a simple Obsidian plugin that uses OCR to extract text from documents, images, etc. embedded in your notes. Different OCR services (free or paid, local or cloud-based) are available, ...

Abstract: In computer vision, most data are captured in 2D formats, limiting spatial understanding in real-world applications. This presents a challenge for fields such as architecture, construction, ...

A comprehensive custom connector for Microsoft Foundry (formerly Azure AI Foundry), providing access to: Get Text Embeddings POST /models/embeddings Generate embedding vectors for text inputs. Useful ...