Spending $20 on OpenAI or Anthropic gets you a mind in a box. Google, however, is offering a full ecosystem, and that’s what ...
A comprehensive Python-based document processing toolkit for OCR, text extraction, NLP analysis, and document classification. canopus_document_intelligence/ ├── documents/ # Input PDF documents ├── ...
Top free transcription APIs for 2025, pick accurate, scalable results for your app or AI project. Validate AI quality and ...
NotebookLM supports a variety of file types and sources. You can include Google Docs, Google Slides, PDFs, text files, ...
XDA Developers on MSN
4 Python scripts that supercharged my NotebookLM workflow
Unlike typical AI tools, NotebookLM is designed to help you interact with sources you upload to notebooks. This means the best way to use NotebookLM efficiently is by populating your notebooks with ...
We list the best text editors, to make it simple and easy for programmers to speed up their coding projects on secure software. This is especially as most people new to programming learn the hard way ...
We list the best speech-to-text apps, to make it simple and easy to dictate your thoughts and ideas into text format. Speech-to-text used to be regarded as very niche, specifically just used for busy ...
Abstract: This survey comprehensively reviews Arabic text summarization, examining state-of-the-art methodologies, commonly used datasets, and evaluation practices. Despite notable progress, the field ...
Summarization of texts have been considered as essential practice nowadays with the careful presentation of the main ideas of a text. The current study aims to provide a methodology of summarizing ...
Abstract: Automatic legal case summarization crucially condenses a lengthy document into a short structure, while conserving its information content and overall meaning. Manual summarization ...
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