Alternatives to Axis AI

PrecisionOCR is an easy-to-use, secure and HIPAA-compliant cloud-based optical character recognition (OCR) platform that organizations and providers can user to extract medical meaning from unstructured health care documents. Our OCR tooling leverages machine learning (ML) and natural language processing (NLP) to power semi-automatic and automated transformations of source material, such as pdfs and images, into structured data records. These records integrate seamlessly with EMR data using the HL7s FHIR standards to make the data searchable and centralized alongside other patient health information. Our health OCR technology can be accessed directly in a simple web-UI or the tooling can be used via integrations with API and CLI support on our open healthcare platform. We partner directly with PrecisionOCR customers to build and maintain custom OCR report extractors, which intelligently look for the most critical health data points in your health documents to cut through the noise that comes with pages of health information. PrecisionOCR is also the only self-service capable health OCR tool, allowing teams to easily test the technology for their task workflows.

Leverage advanced machine learning techniques for thorough text analysis that can extract, interpret, and securely store textual data. With AutoML, you can create top-tier custom machine learning models effortlessly, without writing any code. Implement natural language understanding through the Natural Language API to enhance your applications. Utilize entity analysis to pinpoint and categorize various fields in documents, such as emails, chats, and social media interactions, followed by sentiment analysis to gauge customer feedback and derive actionable insights for product improvements and user experience. The Natural Language API, combined with speech-to-text capabilities, can also provide valuable insights from audio sources. Additionally, the Vision API enhances your capabilities with optical character recognition (OCR) for digitizing scanned documents. The Translation API further enables sentiment understanding across diverse languages. With custom entity extraction, you can identify specialized entities within your documents that may not be recognized by standard models, saving both time and resources on manual processing. Ultimately, you can train your own high-quality machine learning models to effectively classify, extract, and assess sentiment, making your analysis more targeted and efficient. This comprehensive approach ensures a robust understanding of textual and audio data, empowering businesses with deeper insights.

Business data often exists in various formats and originates from multiple sources. Much of this data tends to be unstructured or semi-structured, making it challenging to utilize effectively. Intelligent Document Processing (IDP) harnesses the power of AI and programmable automation, including the handling of repetitive tasks, to transform this data into organized, structured formats suitable for downstream systems. By employing Natural Language Processing (NLP), Computer Vision (CV), Optical Character Recognition (OCR), and machine learning techniques, Blox.ai efficiently identifies, labels, and extracts pertinent information from a wide range of documents. Subsequently, the AI organizes this information into a structured format and develops a model that can be applied to similar document types in the future. Furthermore, the Blox.ai stack is designed to align the extracted data with specific business needs and seamlessly transfer the output to downstream systems, ensuring a smooth workflow. This innovative approach not only enhances data usability but also streamlines overall business operations.

Enhance your decision-making process with a smarter and quicker approach using our Enterprise Document Intelligence Platform, designed to transform raw data into actionable insights. This adaptable platform leverages advanced cognitive Machine Learning and Natural Language Processing algorithms to automatically classify, extract, enrich, and integrate pertinent, timely, and accurate information from various documents. Delivered as a service, this solution minimizes ownership costs and accelerates the realization of value. The platform operates through a systematic process: first, it CLASSIFIES by ingesting structured, semi-structured, or unstructured documents and utilizing semantic understanding alongside visual cues to identify and categorize them. Next, it EXTRACTS essential words, phrases, and text segments from both printed and handwritten materials while detecting signatures or annotations on pages, allowing for easy review and corrections of the extracted content. Furthermore, the AI system learns and improves from human corrections, enhancing its accuracy over time. Finally, the platform offers ENRICHMENT through customizable data verification, validation, standardization, and normalization, ensuring that the information you rely on is both reliable and relevant. With this comprehensive approach, organizations can unlock the full potential of their documents and drive informed decisions.

BIS, a company that has 35 years of experience in developing and delivering innovative technology, built Grooper from the ground up. Grooper is an intelligent data processing and digital data integration tool that allows organizations to extract meaningful information out of paper/electronic documents, and other unstructured data. The platform combines advanced image processing, capture technology and machine learning with optical character recognition to enrich data and embed human comprehension. Grooper is a foundation for many industry-first solutions, including in healthcare, financial services and education.

Optimize the process of capturing, recognizing, and classifying business documents with IBM® Datacap software, an essential component of the IBM Cloud Pak® for Business Automation. This software enhances the efficiency of document management by utilizing advanced technologies, including natural language processing, text analytics, and machine learning, to identify, classify, and extract information from unstructured and variable paper documents. It accommodates input from multiple channels, such as scanners, faxes, emails, digital files like PDFs, and images sourced from applications and mobile devices. By leveraging machine learning, it automates the handling of complex or unfamiliar formats, making it easier to manage highly variable documents that traditional systems find challenging. Additionally, it allows for the export of documents and data to various applications and content repositories, both from IBM and other providers. Furthermore, users can quickly configure capture workflows and applications through an intuitive point-and-click interface, significantly accelerating the deployment process. This streamlined approach ultimately enhances productivity and ensures a more seamless document management experience.

KlearStack automates invoice processing without the need for templates and eliminates the tedious task of manually entering unstructured documents. Our mission is to automate tedious manual processes and tedious data entry so that humans can be freed up for more creative and intelligent tasks. Organizations can use unstructured data to gain competitive advantage. This is done by unlocking the useful information in semi-structured and unstructured documents. KlearStack's AI provides the best solutions to automate these processes that involve unstructured data. Invoice Automation Automate your Purchase Order Receipt Capture Consumer Durable Loans Multi-Vendor Trade Finance Process Automation Two-wheeler Loan Automation Autonomous Loan Process for Used Cars Our proprietary template-less AI/ML technology means that you no longer need to spend hundreds of hours designing and maintaining templates. Increase productivity by up to 200

Capture essential data throughout your organization with ease and precision. Leverage context-sensitive machine learning models to effectively extract pertinent information from your documents. Our advanced classifiers enable you to differentiate between various types of business documents. This includes recognizing employee contracts, leases, supply agreements, and beyond. Swiftly determine the language of your documents, whether they are in English, Portuguese, German, or other languages. Additionally, generate and access OCR text and images from more than 20 different file formats, such as emails, Word documents, and PDFs. Utilize any of the AI models available in our extensive library of over 1000 pre-built clause and provision models, all developed by our expert team to minimize initial setup time. Zuva DocAI is driven by Zuva's proprietary machine learning technology, which is trusted by leading law firms and enterprises for its exceptional accuracy in identifying, extracting, and analyzing document content. Furthermore, you have the capability to create custom AI applications tailored to your specific requirements, enhancing your operational efficiency.

Palamardocs is an advanced OCR tool that swiftly extracts structured data from a variety of documents in mere milliseconds. By automating the retrieval of business-critical information from both physical papers and unstructured electronic files, this innovative solution enables organizations to significantly cut down on costs linked to document processing, data entry, and information extraction. It revolutionizes enterprise-wide workflows, allowing businesses to save precious time and financial resources! The tool facilitates the retrieval and validation of text, figures, form fields, tables, stamps, signatures, and CAD drawings through pre-existing models or by establishing straightforward rules and custom AI models. Human verification plays a crucial role, as it inspects, confirms, and refines models daily to enhance performance. Users can develop integrations effortlessly using clicks or code, providing seamless connectivity to any corporate system or database via our API connectors. Documents are efficiently received through emails or API interfaces, then systematically classified for data extraction, streamlining the entire process. This comprehensive approach ensures that businesses can focus more on their core operations while relying on Palamardocs for accurate and efficient data handling.

Documents play a crucial role across nearly all sectors, and many industries that heavily rely on documentation are now embracing automated digital transformation. The primary challenges lie in the management of complex, unstructured, and semi-structured documents as well as invoices. With DOCBrains, you can effortlessly retrieve files from multiple sources, such as Dropbox, Google Drive, Network Drive, and email attachments, or securely upload your business documents into the platform using an encrypted environment. Our document processing engine employs best practices to ensure that all pertinent data is considered for subsequent processing through an array of ICR, OCR, and AI algorithms. The document processing capabilities are remarkably swift, efficient, and maintain a 100% accuracy rate. The system is designed to effectively carry out data extraction, validation, and export, streamlining the overall workflow for users. By integrating these advanced technologies, businesses can significantly enhance their operational efficiency and focus on higher-value tasks.

SparkCognition, an industrial AI company, has created a natural language processing solution that automates the workflows of unstructured data within companies so that humans can concentrate on high-value business decisions. DeepNLP uses machine learning to automate the retrieval, classification, and analysis of information. DeepNLP integrates with existing workflows to allow organizations to respond more quickly to changes in their businesses and get quick answers to specific queries.

Intelligent document processing streamlines the management of data contained within documents by contextualizing, comprehending, extracting, and directing the information appropriately. Acodis enables you to accomplish all these tasks in mere seconds. The abundance of unstructured data embedded in documents is a persistent challenge, which is precisely why Acodis was created—to facilitate data extraction from any document, regardless of language. Achieve structured data retrieval from any document utilizing machine learning in just seconds. You can easily construct and merge document processing workflows with just a few clicks, eliminating the need for any coding. After capturing and automating your document data, you can seamlessly integrate this process into your current systems. Acodis boasts a user-friendly interface, which empowers your team to automate document-related tasks and allows for quicker decision-making backed by machine learning. Leverage the REST client in your preferred programming language to integrate with your existing business applications. This flexibility ensures that your document processing capabilities can evolve alongside your business needs.

Discover tailored solutions for your business through a customized approach that transforms challenges into opportunities, streamlining complex manual processes into seamless intelligent document processing. By harnessing advanced AI technology, we automate business workflows effectively, with Kapture serving as a cloud-based, self-service platform for enterprise-level form extraction. Our AI-driven OCR capabilities simplify the data classification and extraction tasks traditionally requiring significant human effort, catering to a wide range of industries. We efficiently manage forms and images in various formats, including PNG, TIFF, PDF, DOCX, and DOC, ensuring versatility in our handling process. The Kapture platform enables the creation of classifiers, allowing you to categorize different document types, such as invoices, KYC forms, and loan documentation. This systematic organization allows for the efficient separation of composite data into designated classifier folders for further processing. Additionally, our extractor captures vital values from your forms and printed materials with an impressive 80% automation rate, significantly optimizing your workflow. Ultimately, this approach not only enhances efficiency but also empowers your organization to focus on strategic initiatives.

An advanced AI system offers exceptional precision for the most intricate OCR and IDP tasks. ClassiGenius processes various documents by classifying them, extracting relevant data, and generating searchable PDF files through its powerful Intelligent Document Processing (IDP) features, which incorporate OCR, artificial intelligence, neural networks, and other cutting-edge technologies. It comes equipped with ready-to-use solutions such as invoice reading and identification document processing, while also enabling users to develop custom solutions for automated page classification and data extraction. Additionally, ClassiGenius continuously monitors designated folders, recognizes new files, processes them efficiently, and exports the results, all while requiring minimal setup time to help reduce operational costs significantly. This effortless integration makes it a valuable asset for organizations seeking to streamline their document management processes.

Diffbot offers a range of products that can transform unstructured data across the internet into structured, contextual databases. Our products are built on cutting-edge machine vision software and natural language processing software, which is able to parse billions upon billions of web pages each day. Our Knowledge Graph product is the largest global contextual database, containing over 10 billion entities, including people, organizations, products, articles, and other entities. Knowledge Graph's innovative scraping technology and fact parsing technology link entities into contextual databases. This allows for the incorporation of over 1 trillion "facts", from all over the internet, in just a few seconds. Enhance provides information about people and organizations that you already have information on. Enhance allows users to create robust data profiles about the opportunities they have. Our Extraction APIs may be pointed to any page you wish data extracted from. This could be product, people or article.

You can forget about manual content classification or data entry. Doculayer.ai provides a configurable workflow that includes document processing services such as OCR, document type classification and topic classification, as well data extraction and masking. Doculayer.ai allows business users to take control of their learning and training by providing an intuitive user interface that makes labeling documents and data easy. Our hybrid data extraction approach allows machine learning models to be combined with patterns, rules, and library scripts to produce better results in less time. Data masking is an option to anonymize or pseudonymize sensitive data in documents. Doculayer.ai provides document intelligence to your Content Services Platform and Business Process Management systems. Your existing IT environment can be augmented for document processing by machine learning, natural language processing and computer vision technologies.

Utilizing Ultra OCR®, we effectively extract text from documents in various formats. RPA complements this by retrieving data from websites, public databases, and legacy systems or ERPs. Nuveo's advanced NLP and ML technologies then analyze and interpret all gathered information, significantly minimizing the time required for manual document analysis. Once the information is evaluated and organized, the RPA or custom interfaces seamlessly integrate the relevant data into systems or ERPs, ensuring a fully automated workflow. Nuveo’s patented Ultra OCR® stands out as a premier solution for character, word, and term recognition within images or PDFs, supported by sophisticated image processing algorithms that deliver recognition efficiency well above industry standards. The integration of Machine Learning (ML) and Natural Language Processing (NLP) empowers our system to learn, interpret, and make informed decisions based on the documents processed. As more data is handled, the system's accuracy and reliability continue to improve, showcasing the effectiveness of our innovative technology.

Upload your documents and efficiently extract the necessary information, including handwriting, low-resolution scans, and faxes. This technology surpasses humans, OCR, and other methods in retrieving data from handwritten notes and low-quality prints. Are you ready to begin? You can create a free account for 30 days. SS&C Chorus Document Automation is your trusted solution for reading, enhancing, and delivering data from physical forms. Take advantage of a complimentary service for COVID-19 form processing or SBA PPP applications, or opt for a risk-free 30-day trial for any other forms. The system processes an impressive 10,000 pages each hour, consistently achieving a sorting accuracy of 98% and a digitization accuracy of 96%. With this technology, you can manage and digitize 5,000 pages per hour with greater precision than your current data entry team. Utilizing machine learning that has been trained on more than 1 billion verified data points ensures remarkable accuracy. This system can boost straight-through processing by as much as 40%, all without the need for human involvement. Experience the future of document automation today and see how it can transform your workflow.

Etlworks is a cloud-first, all-to-any data integration platform. It scales with your business. It can connect to databases and business applications as well as structured, semi-structured and unstructured data of all types, shapes, and sizes. With an intuitive drag-and drop interface, scripting languages and SQL, you can quickly create, test and schedule complex data integration and automation scenarios. Etlworks supports real time change data capture (CDC), EDI transformations and many other data integration tasks. It works exactly as advertised.

SiMX TextConverter is an effective and user-friendly software solution designed for the extraction and mining of data from diverse data sources that range from unstructured to semi-structured and structured formats. This tool strikes a balance, offering both a visually appealing and adaptable interface suitable for users with minimal technical skills, while also delivering sophisticated features for experienced developers. With TextConverter, users can efficiently capture, organize, transform, and integrate information from nearly any origin, making it readily accessible for business analysis through relational databases and flat files. Additionally, it comes equipped with analytical reporting features that facilitate data mining, along with tools for monitoring and managing the data processing configuration. By automating the extraction, reverse engineering, and loading of data from various text-based reports produced by different systems, TextConverter provides considerable cost savings across numerous sectors, including finance, insurance, healthcare, and industry. The software ultimately enhances operational efficiency and decision-making capabilities for organizations by streamlining their data handling processes.

Extracting information from both scanned and digital documents is essential for modern businesses. Regardless of the layout or complexity of the documents, it is possible to convert them into an organized and machine-readable format. This automation of document processing allows for the efficient handling of all types of business documents. By transforming scanned and digital materials into a structured format, organizations can utilize this cleaned data for various downstream processes, whether that means storing it in a database or exporting it to a spreadsheet. This solution surpasses the capabilities of basic OCR and standard document parsing, as simply extracting plain text is often inadequate for many applications. Instead, it is crucial to convert text and data embedded within documents of any size into structured information. This approach not only enhances the scale and efficiency of business operations but also automates data extraction, resulting in immediate improvements in workflow. By processing a significantly larger volume of documents, businesses can reduce the need for additional personnel dedicated to document management and minimize the risk of human error. Ultimately, this transformative capability streamlines operations and drives productivity across the organization.

This advanced data extraction tool, featuring an image-to-text converter powered by machine learning OCR, enables users to convert various documents into organized, searchable, and editable text or data, yielding valuable insights for business operations. The converted data can be easily edited, efficiently searched, stored in a more compact format, and presented online. Additionally, it has the capability to extract information from even the most intricate and unstructured documents. The system is designed to intelligently identify what and where to extract information, continuously enhancing its performance through machine learning. Fully automated and driven by artificial intelligence, this software not only streamlines the extraction process but also increases accuracy, providing essential insights and fostering informed business intelligence for users. By leveraging this technology, organizations can significantly improve their data management practices.

We gather, reorganize, and analyze data from a variety of documents and forms, such as web pages, PDFs, DOC files, among others. Our expertise encompasses all stages of the ETL (Extract, Transform, Load) workflow. We excel in converting intricate, unstructured data into precise, actionable insights—regardless of the original format. If you are facing a challenging issue that others have been unable to resolve, our nearly two decades of experience in data collection and processing could be the solution you need. AddToIt is here to assist you! We offer our services in both English and Chinese. All operations are conducted within the United States and adhere to US contractual laws. Established in 2000 and located in Bedford, Massachusetts, AddToIt.com, Inc. focuses on creating innovative technologies aimed at accessing unstructured data effectively. Our business model revolves around delivering data as a service, ensuring we remain customer-oriented and committed to providing services of the highest quality at competitive rates. Furthermore, we pride ourselves on adapting our solutions to meet the unique needs of each client.

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.

NetOwl Extractor provides exceptionally precise, rapid, and scalable entity extraction across various languages through the use of AI-driven natural language processing and machine learning techniques. This named entity recognition tool can be utilized both on-site and in the cloud, facilitating a wide range of Big Data Text Analytics applications. Supporting over 100 distinct entity types, NetOwl presents a comprehensive semantic ontology for entity extraction that surpasses conventional named entity extraction tools. Its offerings encompass individuals, numerous organization categories (such as corporations and government entities), diverse geographic locations (including nations and cities), as well as addresses, artifacts, phone numbers, and titles. This extensive named entity recognition (NER) serves as a crucial basis for more sophisticated relationship and event extraction processes. The software is applicable across various sectors, including Business, Finance, Politics, Homeland Security, Law Enforcement, Military, National Security, and Social Media, making it a versatile choice for organizations seeking in-depth textual analysis. Furthermore, its adaptability to different environments ensures that users can effectively harness its capabilities to meet their specific needs.

Amazon Comprehend Medical is a natural language processing (NLP) service compliant with HIPAA that leverages machine learning to retrieve health information from medical texts without requiring any prior machine learning expertise. A significant portion of health data exists in unstructured formats such as physician notes, clinical trial documentation, and patient medical records. The traditional approach of manually extracting this data is labor-intensive and inefficient, while automated methods based on strict rules often overlook crucial contextual details, leading to incomplete data capture. Consequently, this limitation results in valuable information remaining untapped for large-scale analytical efforts that are essential for progressing the healthcare and life sciences sectors, ultimately impacting patient care and operational efficiencies. By addressing these challenges, Amazon Comprehend Medical enables healthcare professionals to harness their data more effectively for better decision-making and innovation.

DigiParser automates document workflows and extracts data from documents such as invoices, contracts forms, resumes and receipts. It uses advanced OCR, machine learning, and data extraction to extract, validate, process, and convert documents into structured CSV or JSON formats. Users can create custom parsers, automate workflows and integrate the extracted information into tools such as Zapier, QuickBooks Xero Salesforce, Google Sheets etc. DigiParser allows for team collaboration through flexible billing options. This allows multiple team members to be able to work on different Parsers. Its features, such as schema customization, review phases, and workflow automation ensure high accuracy in data extract while saving time and reducing the manual work.

Companies handle a vast array of documents and information daily, encompassing both physical and digital formats. The task of processing these materials can be laborious and demand significant resources. IRISXtract™ streamlines this process by automatically categorizing documents and extracting critical information. It swiftly transfers the pertinent data to your business applications, achieving results more quickly and efficiently than traditional manual methods. Our solution guarantees high-quality paperless processing, accommodating every language and document type across various processes. At the core of this system is an advanced AI-driven classification engine that employs statistical operators to analyze documents based on specific features and characteristics. The extraction process utilizes a flexible, full-text methodology, eliminating the need for templates, manual setup, or complex training requirements. This innovation not only enhances productivity but also significantly reduces operational costs.

Streamline your business operations by utilizing automated information extraction techniques. Azure Form Recognizer leverages cutting-edge machine learning technology to precisely extract text, key-value pairs, tables, and structured data from various documents. By providing just a few samples, you can customize Azure Form Recognizer to effectively interpret your documents, whether they are stored on-premises or in the cloud. This capability allows you to convert documents into actionable data quickly and cost-effectively, enabling you to dedicate more time to utilizing the information instead of just gathering it. Additionally, you can achieve outputs that are aligned with your specific layouts through automatic custom extraction, which can be further enhanced by incorporating human feedback. This powerful tool allows you to ingest data from cloud environments or edge devices, making it applicable for search indexes, business automation workflows, and other applications. Furthermore, you can trust that enterprise-grade security and privacy measures are in place to protect both your data and any trained models. With these features combined, Azure Form Recognizer significantly improves the efficiency and accuracy of data handling in your organization.

Extracting business information from various sources such as printed or handwritten documents, forms, checks, invoices, emails, and more is a crucial task. This process can automatically convert unstructured customer data into a structured and digital format that is ready for business use. Once processed, the valuable data can be exported seamlessly into enterprise systems, databases, lines of business, or integrated into existing workflows. Despite the ongoing digitization and automation trends, paper remains a prevalent component in business operations worldwide. Many large corporations and organizations continue to face challenges with disorganized physical and digital documents that hinder their workflow efficiency. Significant time and resources are often dedicated to implementing automated solutions that still necessitate human intervention for data processing, which can ultimately diminish productivity and inflate costs. Consequently, businesses frequently find themselves in a position where they must sacrifice either cost-effectiveness, speed, accuracy, or the confidentiality of their data. The need for an effective solution that addresses these issues is more pressing than ever.

An API platform designed for intelligent extraction of data from PDFs facilitates automated parsing of documents. Users can create reusable low-code templates for data extraction, supporting multiple languages for OCR as well as tables and fields. The platform features a built-in invoice parser along with capabilities to split, merge, reorder, and delete pages in PDF files. Advanced splitting tools are available, allowing for the filling out of PDF forms and the addition of text, images, and signatures to existing documents. It also includes auto-filling for interactive fields and the ability to generate PDFs from HTML templates while allowing for conditions, variables, and custom logic. Users enjoy high-quality PDF output with full control over quality, ensuring secure and scalable operations. The PDF extractor engine converts documents into formats such as raw JSON, CSV, XML, XLS, and XLSX while preserving layout and efficiently extracting tables. Additionally, the platform offers OCR capabilities to repair malformed text and extract various barcode types, including QR Codes, Code 128, Code 39, DataMatrix, and PDF417 from PDFs, scans, and images, all supported by a high-performance barcode reading engine. With such robust features, this platform stands out as a comprehensive solution for all PDF-related data extraction needs.

Ephesoft offers intelligent document processing solutions that combine industry-leading technology with industry-leading software to maximize productivity for enterprises. Ephesoft's platform uses AI and patented machine-learning technology to capture data from documents and enrich it with context. This adds intelligence to any business process and drives successful digital transformation. Ephesoft is used by thousands of customers around the world to reduce costs, increase accuracy, and support their journey to an autonomous enterprise. Ephesoft's headquarters is in Irvine, California, and there are regional offices all over the US, EMEA, and Asia Pacific. Ephesoft Transact, an enterprise capture and data extraction platform in the cloud, hybrid, or on-premises, automates any content-based business process. It also makes sense of unstructured data for decision makers worldwide.

Virtualflow is a data extraction tool that allows businesses to automate document processing, eliminating manual work and enhancing productivity. With its no-code interface, Virtualflow enables users to extract structured data from any document format quickly and accurately. The platform supports a wide variety of file types, including Bills of Lading, invoices, and loan applications, and integrates seamlessly with cloud platforms and business systems. By reducing errors and speeding up workflows, Virtualflow helps companies save time, cut costs, and ensure data security, all while maintaining GDPR compliance.

Butler is an innovative platform designed to assist developers in transforming AI functionalities into user-friendly APIs. You can create, train, and launch AI models in just minutes, and the best part is that no prior AI knowledge is necessary. With Butler’s intuitive interface, you can effortlessly compile a complete labeled dataset, eliminating the hassle of tedious labeling tasks. The platform intelligently selects and trains the most suitable machine learning model tailored to your specific use case, saving you the trouble of spending hours determining which models yield the best results. Offering a diverse array of customizable features, Butler allows you to fine-tune your model precisely to meet your needs. You can finally put an end to the time-consuming struggle with inflexible pre-built models or the complexities of developing bespoke solutions. With Butler, you can efficiently extract essential data fields and tables from any unstructured document or image. This enables you to relieve your users from the burden of manual data entry through incredibly fast document parsing APIs. Furthermore, you can retrieve information from unstructured text, including names, locations, terms, and any other specific data points. Ultimately, Butler empowers your product to comprehend your users in a manner that mirrors your understanding. By leveraging this platform, you can enhance user experience and streamline operations simultaneously.

Our advanced document management solution offers automated extraction, redaction, classification, and indexing tailored for businesses across various sectors. The Extract platform processes incoming unstructured documents seamlessly. With our adaptable system, we effectively extract or redact necessary information and direct both the data and the original document to their designated locations. Utilizing Optical Character Recognition (OCR) technology and customized rules tailored to your organization, the Extract Systems Platform initiates the extraction or redaction process you require. Thanks to our smart software, we ensure that the data and original documents are promptly sent to any endpoint you prefer. This streamlined workflow significantly cuts down on the time required for manual data entry, minimizes the risk of human errors commonly associated with such tasks, and accelerates the availability of critical discrete data, enabling you to share, compare, report, and conduct analyses with ease. Ultimately, our platform empowers organizations to optimize their document handling processes while enhancing overall productivity.

Easily access and download clean, ready-to-utilize web datasets tailored for analysis, insight generation, and training machine learning models. The complexity of teaching machines to handle intricate tasks necessitates vast amounts of data. DataStock provides the resources you need to fulfill your Machine Learning Project and Training needs efficiently. The datasets available at DataStock feature millions of records, including customer reviews, making them perfect for constructing a text corpus for Natural Language Processing applications. By implementing Sentiment Analysis, you can gain valuable insights into the feelings, attitudes, emotions, and opinions expressed in user-generated content. For those seeking data specifically for Sentiment Analyses, DataStock stands out as an excellent resource. With a wealth of data at your fingertips, conducting timeline analyses and identifying trends becomes straightforward, allowing for a glimpse into future outcomes. Furthermore, DataStock operates as an online marketplace where you can purchase structured datasets from a variety of domains, including Retail, Healthcare, and Recruitment, ensuring that you find the specific data you need. With its user-friendly platform, DataStock simplifies the process of acquiring essential datasets for various analytical projects.

Sutherland Extract is an advanced OCR solution driven by AI that evolves by learning from exceptions, enhancing its intelligence over time. This robust platform facilitates cognitive data extraction from input to output, effectively tackling the operational hurdles encountered in document-centric workflows. It integrates smoothly with robotic process automation tools and a variety of applications within your business framework. Access to data is vital for businesses to succeed, and that data must be available, pertinent, and actionable. Unlike conventional Optical Character Recognition (OCR) systems that impose limitations on digitization success, our AI-driven extraction platform can easily link with your current applications to boost efficiency. Traditional OCR approaches demand extensive rules and templates for every unique document format, resulting in a reliance on human input and lengthy processing times. In contrast, Sutherland Extract employs sophisticated deep learning technology that comprehends document structures, significantly enhancing Straight-Through Processing (STP) through intelligent data extraction and cognitive automation. This innovative approach not only streamlines workflows but also empowers organizations to make more informed decisions based on reliable data insights.

Cortical.io offers AI-based Natural Language Understanding solutions such as Contract Intelligence or Message Intelligence that enable enterprises to search, extract, analyze, and annotate key information from any type of unstructured text. The Cortical.io artificial Intelligence-based solutions can quickly be trained unsupervised in any business domain's specialized vocabulary and can work across multiple languages. They have been used in a variety of business use cases at several Fortune 500 companies.

Convert documents into organized, actionable insights while effortlessly pulling essential details from unstructured texts. Enhance recruitment efficiency through automated sorting of resume data, allowing for a more rapid evaluation of candidates. Analyze customer sentiments and feedback to inform improvements in products and services. Use data from customer interactions to create personalized experiences that foster loyalty. Monitor market data to identify trends and seize emerging opportunities. Strengthen strategic decision-making with comprehensive analyses of financial documents. Share the information you wish to extract along with your documents or texts, regardless of format, and receive precisely extracted data that is ready for immediate application. By optimizing your data workflows, you can save both time and resources through our sophisticated algorithms designed for accurate extraction. Whether managing small tasks or extensive datasets, we are equipped to handle it all, ensuring that you can enhance your business operations with our high-quality features. Ultimately, our solutions empower you to be more efficient and effective in your endeavors.

QDox streamlines the extraction and handling of data from unstructured documents, including invoices, contracts, receipts, and others. Leveraging advanced artificial intelligence and machine learning techniques, the system ensures exceptional accuracy and efficiency in processing these documents. Enterprises utilizing QDox can design tailored workflows to extract crucial information from a variety of document types, enabling effective data utilization as needed. With pre-trained models for over 100 different documents spanning various industries, QDox offers remarkable versatility. Additionally, its Developer Tool Suite, combined with a human-in-the-loop architecture and ready-made components, significantly cuts development time by 70% while maintaining high precision. This innovative approach empowers organizations to enhance productivity and focus on their core business objectives.

PDF Dino is an innovative tool powered by AI that specializes in extracting structured data and formats from PDF documents. It allows users to effortlessly draw out essential information from PDFs, transforming unstructured content into valuable insights. With the ability to upload files of up to 10MB, users can initiate data extraction almost instantly, with no need for sign-up for basic text extraction services. The platform also offers free text extraction for up to 20 pages, enabling users to securely convert PDF content into text formats without server dependency. For those seeking more sophisticated functionalities, such as organizing text and extracting critical data into usable formats like Excel, CSV, or JSON, PDF Dino includes automation and analysis tools that enhance the user experience. Additionally, the platform prioritizes security, ensuring that files remain safe during processing while delivering swift and precise data extraction. To begin using the service, users can easily create a free account, upload their PDF documents, and navigate through an intuitive interface to start extracting or processing their files seamlessly. This comprehensive tool is designed to meet various needs, making data handling from PDFs more efficient and accessible than ever before.

The Internet serves as the largest repository of publicly available resources globally. Currently, there are more than 100 million websites that host over 80 billion individual webpages. Each second, the count of these webpages surges at an astonishing rate. Within this vast array of content, users can find a wealth of useful information such as contact details for potential clients, pricing data on competing products, up-to-the-minute financial updates, insights into public sentiment, word-of-mouth reports, supply and demand trends, academic journals, forum discussions, blogs, articles, and current news. Nonetheless, the crucial data resides within the extensive HTML structures of these websites, which are often only semi-structured. Consequently, this makes the extraction and direct application of the information a challenging task. Moreover, navigating through this immense volume of data necessitates sophisticated tools and strategies to effectively harness its potential.

Playmaker is an innovative document automation solution that converts unstructured data from a variety of sources—such as PDFs, images, spreadsheets, and web content—into organized, actionable formats. With a library of over 100 pre-designed document workflows, including those for financial statements, purchase orders, invoices, and contracts, it helps users optimize processes involving data extraction, validation, and seamless integration with other software applications. Users have the flexibility to upload documents through email, API, or manual methods, and the platform adeptly transforms this unstructured data into well-organized, tabular formats that can drive workflows in more than 300 different applications. Security and compliance are top priorities for Playmaker, as evidenced by its commitment to storing and processing data solely within the European Union and the United States, along with strict adherence to regulations such as GDPR and CCPA. Additionally, the platform implements robust security measures including AES-256 encryption and role-based access control, ensuring that sensitive information remains protected. This comprehensive approach not only enhances productivity but also instills confidence in users regarding the safety of their data.

Effortlessly harvest tabular information from the web at scale with YabTab, which employs cutting-edge machine learning technology to identify essential content across various websites. The YabTab API allows users to seamlessly extract high-quality tabular data from diverse sources such as product listings, course catalogs, job advertisements, or any other type of listing. By leveraging groundbreaking Machine Learning methods, YabTab can detect patterns on web pages, a feat previously thought to be exclusive to human capability. With YabTab's user-friendly APIs, you can begin extracting data within seconds, eliminating the need to navigate through the often-complex layout of websites. This innovative technology offers remarkable adaptability to minor design alterations in user interfaces, making it more effective than any other scraping solutions available today. Furthermore, YabTab consistently outperforms its competitors in the market, ensuring that users receive the most reliable and accurate data extraction experience possible.

The simplest method for pulling data points from unstructured text involves simultaneously scanning research documents, prospectuses, and customer feedback to identify, track, and assess significant, user-defined data metrics. You can access over 100 distinct data points to enhance your investment and risk management strategies effectively. By searching and assembling customized datasets from EDGAR and various public or private resources, you can optimize your deal underwriting process. Additionally, this approach can streamline the legal workflows within capital markets and structured finance. Instantly retrieve over 100 data points to help categorize, compare, and collaborate with your clients more effectively. Deconstructing unstructured text from sources like PubMed and clinical trial data allows you to break down information into categories such as diseases, genes, proteins, and symptoms, ensuring that all your research is consolidated in one location. You can incorporate research from any source into your workspaces effortlessly with our convenient Chrome plug-in, which also enables the transformation of digital PDFs into machine-readable formats. Furthermore, you will receive outputs in JSON and HTML formats that include a detailed section hierarchy, as well as the removal of watermarks, multi-level tables, lists, headers, and footers, making your data more accessible and manageable than ever before. This comprehensive solution not only simplifies data extraction but also enhances your overall analytical capabilities.