Cloud image editors are now much harder to justify.

LiteParse, developed by Llama Index, addresses common challenges in parsing complex documents, such as misaligned tables and inflexible layouts, by focusing on structured data extraction while ...

Launch Sarvam Vision as a 3 billion parameter model for Indic OCR across 22 languages. Achieve higher word accuracy than global OCR systems, focusing on regional scripts. Sarvam has launched Sarvam ...

If you want to quickly build an AI app, I would recommend Claude Artifacts or Gemini Canvas. Both are fantastic and easy to use. In case, you want to build a mobile app or a landing page with advanced ...

Scatteract is a framework to automatically extract data from the image of scatter plots. We use TensorBox 1 to detect the relevant objects (points, tick marks and tick values), Tesseract for the OCR, ...

As Red Teamers, we often find information in SharePoint that can be useful for us in later attacks. As part of this we regularly want to download copies of the file, or parts of their contents. In ...

The rapid evolution of generative AI has created a pressing need for tools that can efficiently prepare diverse data sources for large language models (LLMs). Transforming information that is encoded ...

Abstract: This project aims to develop an OCR (Optical Character Recognition) system that can translate Brahmi script into Tamil automatically. Data preparation, picture preprocessing, character ...

Large language models by themselves are less than meets the eye; the moniker “stochastic parrots” isn’t wrong. Connect LLMs to specific data for retrieval-augmented generation (RAG) and you get a more ...