Aspose.Total  for Node.js via C++

Node.js API for PDF and Image Text Extraction

Extract text from Images as well as include PDF manipulation features within Node.js applications without any other software dependencies

  Download Free Trial

Aspose.Total for Node.js via C++ is an all-inclusive set of Node.js libraries. These libraries offer functionalities like working directly with PDFs and enhancing your applications for turning images into text.

Aspose.Total for Node.js via C++ includes the following Node.js libraries:

Aspose.PDF for Node.js via C++

Aspose.PDF for Node.js via C++

Aspose.PDF for Node.js via C++ empowers you to handle PDF files on the backend. Utilizing it, you can optimize PDFs, incorporate and extract text and images, as well as implement encryption and decryption processes. Furthermore, the functionality extends to the ability to effortlessly split and merge PDF documents, providing a comprehensive toolkit for streamlined PDF file manipulation.

Aspose.OCR for Node.js via C++

Aspose.OCR for Node.js via C++

Aspose.OCR for Node.js via C++ enables text extraction from images like scanned pages and photos on Node.js-compatible platforms. Enhance on-premise products, web services, and serverless applications with powerful optical character recognition functionality, supporting 28 languages including Chinese and Hindi in popular formats.

Overview of Node.js via C++ Libraries

Extract Text from PDF

Add images within PDF documents

Encrypt and Decrypt PDF

Merge and Split PDF

Convert PDF files to images

Extract text from smartphone photos with scan-level accuracy.

Convert any scan into a fully searchable and indexable document.

Recognize an image from URL without downloading it locally.

Read all images from multi-page documents, folders and archives.

Identify and recognize text in all popular typefaces and styles.

Adjust every OCR parameter for best recognition results.

What People Are Saying

Don't just take our word for it. See what users have to say about Aspose.Total APIs.

View Case Studies

Support and Learning Resources