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Automate contact and company data extraction
Build lead generation pipelines that pull emails, phone numbers, and company details from directories, maps, social platforms. Full API access.
Generate leads at scale without building or maintaining scrapers. Use 10,000+ ready-made tools that handle authentication, pagination, and anti-bot protection. Pull data from business directories, social profiles, and public sources, then export to your CRM or database via API. Schedule recurring extractions, enrich existing datasets, and integrate with your workflows.
WatchOCR is free OCR server for PDFs. WatchOCR uses cuneiform, and exactimage to create text searchable PDFs from image only PDFs and Tiffs. WatchOCR can be remotely configured to monitor a watched folder for newly scanned PDFs for OCR conversion.
Our Objective is to create a GPU-based system that can accept scanned inputs of printed Devanagari texts, and produce outputs of the same in Unicode with a very high accuracy (>99.9%).
Developing application which will automatically detect vehicle coming at entrance and exit using LDR sensors and detect number of vehicle using OCR implemented in java and should produce bill.
Charface is GUI for OCR engines. Currently under developing.
It suports automatica detection of next engines to be installed
- cuneiform with its languages
- tesseract with language database files
- gocr
Supports
- adding custom engines
- bach processing of images
- text postprocessing
Axe Credit Portal - ACP- is axefinance’s future-proof AI-driven solution to digitalize the loan process from KYC to servicing, available as a locally hosted or cloud-based software.
Banks, lending institutions
Founded in 2004, axefinance is a global market-leading software provider focused on credit risk automation for lenders looking to provide an efficient, competitive, and seamless omnichannel financing journey for all client segments (FI, Retail, Commercial, and Corporate.)
UCR is a project name for the development of an handwritten characters in Korean language. The goal is to create a UCR Library for handwriting as well as OCR from off-line, on-line data. And we have a plan to build a UCR library for mobile.
This application can be used to read printed text in english. Scan the text to produce image file. Image file is processed using the OCR engine, which converts it to txt file. Text file can be read using screen reader softwares such as ORCA.
...Matthias
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This is a wrapper written in Java that allows to recursively iterate a directory structure and call an OCR engine on each found PDF on the condition that it hat not yet been called for that PDF. It works well with the ABBYY OCR Engine for Linux.
The Common OCR Service Interface. COSI is an API that allows developpers to easily bring OCR (Optical Character Recognition) capabilities to image processing applications. COSI supports existing OCR tools such as Tesseract, GOCR or GNU Ocrad.
Java open source scanner for all platform. This application make the use of JSane. It also includes OCR for Thai and English characters. This project is supported and funded by Thai Life Insurance Company - A Thai Company for the Thai people (http://
Socr3 is a plugin-oriented, open source platform upon which I'm building an OCR suite. The name Socr3 stands for "Open Source Optical Character Recognition, Reading, Rendering, and Exporting", and is subject to change in the future.
Neuroph OCR - Handwriting Recognition is developed to recognize hand written letter and characters. It's engine derived's from the Java Neural Network Framework - Neuroph and as such it can be used as a standalone project or a Neuroph plug in.
OCR c++ library. Include: contour recognition; vectorisation; matrix letter feature recognition; auto page segmentation and detect rotation; SS3 ASM core; XML base; web-based GUI; 99,6% printed Unicode text recognition; letter base up to 1200 letters.
SecureJDMS is the attempt to develop a secure DMS, based on an RCP and (even untrusted) DB for data storage. For now, its all about managing scanned documents and searching them by content (using OCR). All data sent and stored will be strongly encrypted.