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 ...

Humans don't just passively observe; we actively engage with visual information, sketching, highlighting, and manipulating it to understand. OpenThinkIMG aims to bring this interactive visual ...

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 ...

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, ...