Search Results for "document analysis"

Automated Binance trading bot. Trade multiple cryptocurrencies. Buy low/sell high with Grid Trading. Integrated with TradingView technical analysis. This bot is using the concept of trailing buy/sell order which allows following the price fall/rise. Trailing Stop Orders About Trailing Stop Orders Concept you can find at Binance Official document. Place orders at a fixed value or percentage when the price changes. Using this feature you can buy at the lowest possible price when buying down and sell at the highest possible price when selling up. ...

AI File Sorter is a cross-platform desktop application that uses AI (local LLMs run on your computer) to organize files and suggest meaningful file names based on real content, not just filenames or extensions. The app can analyze images locally and propose descriptive rename suggestions (for example, IMG_2048.jpg → clouds_over_lake.jpg). It can also analyze document text to improve categorization and renaming. Supported formats include PDF, DOCX, XLSX, PPTX, ODT, ODS, ODP, and common text files. For supported audio and video files, AI File Sorter can read embedded metadata (such as ID3, Vorbis, and MP4 tags) to suggest normalized names like year_artist_album_title.ext. AI analysis runs read-only, and all suggestions must be reviewed before being applied. ...

DocWire SDK, a standout C++20AI driven data processing tool, has received award from SourceForge and strong backing from Microsoft. It handles nearly 100 file types, empowering efficient text extraction, web data extraction, and document analysis. For businesses, the shift to DocWire SDK signifies a leap forward. It promises comprehensive document format support and the ability to extract valuable insights from email boxes, databases, and websites using cutting-edge AI. DocWire SDK aims to expand its capabilities, focusing on versatile data extraction, platform support, and seamless integration with various systems. ...

CRGREP searches for matching text in databases, various document formats, archives and other difficult to access resources. A command line tool for name and content text matching in database tables, plain files, MS Office documents, PDF, archives, MP3 audio, image meta-data, scanned documents, maven dependencies and web resources. CRGREP will search resources within resources of any arbitrary combination or depth, so text within a document within a zip archive, and so on. Here you...

The goal of DynaQ is to develop an inquiry system to explore the personal information space, supporting you with the searching paradigm 'orienteering'. DynaQ is a (desktop)search engine with enhanced functionality for file, email and blog search. Look at our GitLab homepage for sourcecode and documentation: http://dynaq.opendfki.de

Everyday life history is becoming of high interest due to the growing amount of various historical sources related to common human being. Analysis of such sources needs considering them as interrelated. Evaluation of such relations leads to meaningful results for different groups of information consumers: from professional historians and experts from close humanitarian sciences to common people, interested in everyday community life. Corpuses of everyday life history sources are being collected in many museums and document archives. ...

SCAN (Smart Content Aggregation and Navigation) is a universal semantic content aggregator. It combines search, text analysis, tagging and metadata functions to provide new user experience of desktop navigation and document management.

Kriterion is a document retrieval and categorization engine capable of full text searching. There is no need for keyword or context-based information.

Loganalyzer for Windows XP Firewall and Linux Iptables firewall. Generates a nice html document with statistics from all the pakets captured by the firewall. The program is written in Python and has an (optional) graphical interface.

Mojo Webstats is a simple web statistics tool. It uses Javascript, PHP and MySQL to process web statistics. Includes: 1) date/time, 2) document location and title, 3) ip address and hostname, 4) browser version, 5) visitor resolution, and 6) referrer.