This tutorial shows how to convert DOCX to PNG in Java using Aspose.OCR Cloud SDK for Java. The guide provides a full code example, step‑by‑step explanation, cURL REST commands, installation steps, configuration options, and practical tips for reliable document image conversion.
Convert JSON to XLSX in Node.JS
This tutorial shows Node.JS developers how to convert JSON to XLSX using Aspose.OCR Cloud SDK. You’ll see a full code walkthrough, async/await handling, cURL REST alternative, and tips for performance and error handling, enabling data export for reporting.
Convert HTML to JPG in Java
This tutorial shows you how to convert HTML to JPG in Java with Aspose.OCR Cloud SDK for Java. You will learn to configure credentials, perform single and batch conversions, use the REST API via cURL, and apply optimization techniques for fast processing.
Optimizing PDF to CSV Conversion Performance in Java
Discover how Java developers can boost PDF to CSV conversion performance with Aspose.OCR Cloud SDK for Java. This guide covers setup, a full code sample, cURL API calls, configuration, speed tuning, error handling, and security best practices.
Find Font in a Picture using C# | Identify Fonts from Images with OCR
Discover how to find a font in a picture using Aspose.OCR Cloud SDK for .NET. This guide explains how to use optical character recognition (OCR) to extract text and font information from images programmatically.
Perform OCR Online. Image to Text using Python SDK
Optical Character Recognition is a smart way to recognize content over raster images. It even becomes more useful when you need to preserve the old archival literature in a digital format. In this article, we are going to perform OCR online on various image formats. The Cloud API is capable of recognizing English, French, German, Italian, Portuguese and Spanish languages.
Perform OCR on Images. Optical Characters Recognition on Images using Java
Use our Java REST API for Image OCR operation. Learn how to perform Optical character recognition operation on raster images using Java REST API.
Improved Text Recognition Module and Released Skew Correction Module in Aspose.OCR Cloud 18.6
[![][1] section of APIs Documentation.
New Features and Enhancements Released skew correction module that allows to recognise slightly rotated images Integrated Tensorflow-Serving technology into our pipeline Improved text recognition module to fix a lot of issues in our roadmap: Fix issue of collapsing words Fix issue of duplicate letters Fix issues with punctuation symbols Learn to recognise characters: hyphen-minus (-), dash (–), grave accent (`), underscore (_), slashes (/)() Aspose Cloud Resources You may visit the following API resources for getting started and working with the API.
Introducing Version 3 of Aspose.OCR Cloud APIs
We are pleased to announce Version 3 of Aspose.OCR Cloud APIs. Aspose.OCR Cloud is a REST API for optical character recognition and documents scanning in the cloud. It supports reading and recognizing characters from most commonly used raster image formats. Just pass specific image name and its format to the Aspose.OCR Cloud REST API and it will return response in XML or JSON format including recognized text, font name, font size, font style.
New OCR algorithm support in Aspose.OCR Cloud 17.11
[![Aspose.OCR for Java logo][1] We are pleased to announce that Aspose.OCR Cloud 17.11 is now available for public use. This release supports new OCR based algorithm for image recognition.
Enhancements Following enhancements have been introduced in this release.
Support for new OCR algorithm. Advantages of this algorithm: It’s 5 times faster Excellent recognition results. Mean recognition quality is greater than 95% Supports more complex page layouts Supports rotated images Perfect stability of work Specification for functions to work with new algorithm Recognize image using Aspose.
