Xtracta Description
Introducing Xtracta, an advanced data extraction software that leverages cutting-edge OCR technology. This next-generation automated data entry solution is designed to enhance document automation for your organization. With AI-driven capabilities, Xtracta seamlessly extracts and captures information from various documents, including scanned, photographed, or digital formats. Its user-friendly API allows for effortless integration into nearly any software application. Ideal for processing documents such as invoices, receipts, and contracts, Xtracta simplifies data extraction without the hassle of manual template setup. Utilizing machine learning and Big Data, the software can adapt to an endless array of document designs, making it incredibly versatile. By streamlining the data assembly process, Xtracta significantly reduces the amount of time spent on data entry, enabling organizations to focus on more critical tasks. Experience the future of document automation with Xtracta, where efficiency meets innovation.
Xtracta Alternatives
PackageX OCR API turns any smartphone into an incredibly powerful universal label scanner. It can read every bit of text, including barcodes, QR codes and other information on the label.
Our OCR technology is the best in the industry. It uses proprietary algorithms and deep learning models to extract information from labels.
Our OCR API has been trained using information from more than 10 million labels. This allows for the highest scanning accuracy in the market, at over 95%.
Our technology can scan in low-light conditions and read labels from any angle.
Create your own OCR scanner app to eliminate pen-and-paper inefficiencies.
Our OCR scanner allows you to extract information from printed text or handwritten labels.
Our OCR software is trained using multilingual label data extracted in over 40 countries.
Detect and extract information from barcodes or QR codes.
Learn more
Foxit delivers a robust set of cloud-native APIs that enable organizations to automate and modernize document-driven workflows at scale. Built on flexible REST architecture, these APIs allow developers to seamlessly create, convert, extract, sign, and display documents within their own applications—improving efficiency while reducing manual processes.
The Foxit PDF Services API handles large-scale PDF processing, including conversion, extraction, optimization, and redaction. The Document Generation API streamlines the production of personalized PDFs and DOCX files using dynamic templates and live business data. The Foxit eSign API integrates secure, legally binding eSignature workflows with audit tracking and compliance capabilities. The PDF Embed API provides customizable in-app document viewing with support for annotations, forms, and secure user access.
Combined, Foxit APIs give enterprises a secure and scalable platform for digital document automation and workflow transformation.
Learn more
Sigixtract
SigiXtract is an intelligent document processing solution designed to help organizations automate the extraction, classification, validation, and integration of data from complex business documents. The platform leverages artificial intelligence, machine learning, deep neural networks, and template-free OCR technology to understand documents in a way that goes beyond simple text recognition. Businesses can automate workflows involving invoices, purchase orders, governance and compliance documents, financial records, loan applications, and many other document types. The platform automatically classifies incoming documents, extracts relevant information, validates data, and routes it into enterprise systems for further processing. Specialized solutions such as Invoice Automation, Purchase Order Automation, and Document GRC AI help organizations improve operational efficiency while reducing manual effort. SigiXtract also supports intelligent accounts payable processing, line-item extraction, tax validation, exception management, and three-way matching workflows. Integration capabilities allow the platform to connect with ERP systems including SAP, Oracle, Microsoft Dynamics, and other enterprise applications. Human-in-the-loop verification ensures high data quality while maintaining automation benefits. SigiXtract enables organizations to process large volumes of documents faster, more accurately, and with significantly lower operational costs.
Learn more
Amazon Textract
Amazon Textract is a sophisticated, fully managed machine learning service that goes beyond basic optical character recognition (OCR) to automatically extract text and data from scanned documents, including forms and tables. In today's fast-paced business environment, many organizations rely on either time-consuming manual data entry, which is both costly and error-prone, or on basic OCR software that requires frequent manual adjustments whenever forms are updated. To eliminate these cumbersome processes, Textract leverages advanced machine learning techniques to swiftly read and analyze various document types, delivering precise extraction of text, forms, tables, and additional data without necessitating any manual input or custom programming. By using Textract, businesses can streamline and automate their document processing tasks, allowing them to handle millions of pages in just a matter of hours, significantly enhancing operational efficiency. This shift not only saves time but also reduces the likelihood of human error, paving the way for more accurate and reliable data handling.
Learn more
Integrations
No Integrations at this time
Company Details
Company:
Xtracta
Headquarters:
New Zealand
Website:
xtracta.com
Media
Recommended Products
MongoDB Atlas runs apps anywhere
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Product Details
Platforms
Web-Based
Xtracta Lists
Xtracta User Reviews
Write a Review- Previous
- Next
