Alternatives to Nirveda Cognition

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.

Machine learning can provide insightful text analysis that extracts, analyses, and stores text. AutoML allows you to create high-quality custom machine learning models without writing a single line. Natural Language API allows you to apply natural language understanding (NLU). To identify and label fields in a document, such as emails and chats, use entity analysis. Next, perform sentiment analysis to understand customer opinions and find UX and product insights. Natural Language with speech to text API extracts insights form audio. Vision API provides optical character recognition (OCR), which can be used to scan scanned documents. Translation API can understand sentiments in multiple languages. You can use custom entity extraction to identify domain-specific entities in documents. Many of these entities don't appear within standard language models. This allows you to save time and money by not having to do manual analysis. You can create your own machine learning custom models that can classify, extract and detect sentiment.

Business data can be found in many formats and from different sources. Many business data is not structured or semi-structured. IDP (Intelligent Document Processing), which uses AI and programmable automation (such repetitive tasks) to convert business data into usable, structured formats and for consumption by downstream system. Blox.ai uses Natural Language Processing (NLP), Computer Vision, (CV) and machine learning tools to identify, label and extract relevant data from any type. The AI then converts the extracted information into a structured format and creates a model that can be used for all types of similar documents. Blox.ai is used to reconcile data based upon business requirements and push the output to downstream system automatically.

There are many options available for extracting data from structured or semi-structured content or documents. These include databases, websites, and paper-based forms. All of these can be easily accessed by machines using templates, predefined or custom rules. Some businesses, such as energy, healthcare, and real estate, still depend heavily on unstructured documents. These documents are difficult for machines to understand because they are inconsistent in form and layout. Axis AI is a better option, offering a revolutionary way to classify and extract information from unstructured content. Axis AI uses proprietary algorithms, including those used for Natural Language Processing (NLP), to read and extract data from sentences, paragraphs, and entire pages written in natural English.

Intelligent document processing automates data processing within documents. It contextualizes the document, extracts it, and sends it to the correct place. All of this is possible with Acodis in just a few minutes. There is a lot of unstructured data in the world, and this will continue for a long time. Acodis allows you to extract data from any document in any language. Machine learning makes it easy to extract structured data from any document. With just a few clicks, you can create and combine document processing workflows. No coding required. Once you have captured and automated your document's data, you can integrate it into your existing systems. Acodis has an intuitive user interface. This allows your team to automate document-related tasks and allows you to take faster decisions based upon machine learning. You can integrate the REST client with existing business tools by using the programming language you use.

Documents are an integral part of almost all industries. The majority of these industries that rely on documents are moving towards digital transformation. The real problem is the processing structure of complex, unstructured or semi-structured documents as well as Invoices. DOCBrains can automatically retrieve files from many sources (Dropbox Google Drive, Network Drive and email attachments), or upload your business documents through a secured encrypted environment to the bot. It is a best practice for our document processor engine to ensure that all relevant data is taken into consideration for further processing using various OCR, ICR and AI algorithms. Document processing is fast, efficient, and accurate with 100% accuracy. The system is composed of three steps: data extraction, validation, and export for further processing.

Palamardocs, an Intelligent OCR, is a magic tool that extracts structured information in milliseconds from any document. Palamardocs automates the extraction of business information in paper documents and unstructured electronic files. This allows businesses to reduce costs associated with data entry, processing, and extraction. Transform enterprise-wide processes to save time and money. This tool allows you to retrieve and validate text, figures, form fields and tables. It also lets you set simple rules and create AI models. Each day, human in-the loop verification inspects, validates and makes adjustments to models to improve their outcomes. Our API connectors make it easy to create integrations and connect any database or corporate system with clicks-or code. Documents can be received via email or API interface and then classified for extraction.

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.

Sutherland Extract, an AI-powered OCR solution, learns from exceptions to become more intelligent over time. Our intelligent input to output data extraction platform is truly cognitive, and addresses the operational challenges associated with document-based workflows. It seamlessly integrates with other applications and robotic process automation platforms in your business. Businesses thrive when data is available, relevant, and easily accessible. Our AI-powered data extraction platform integrates seamlessly with your existing applications, despite the fact that standard OCR solutions limit digitization outcomes. Traditional OCR systems are time-consuming and dependent on templates and rules for every document layout. Deep learning technology from Sutherland Extract works by understanding the structure and enabling higher Straight Through Processing (STP). This is possible through intelligent data extraction, cognitive automation, and data extraction.

SiMX TextConverter, a powerful yet simple-to-use software tool that extracts and mines data from a variety of structured, semi-structured, and unstructured data sources, is available. It offers both the best of both worlds, a user-friendly interface that is intuitive for those with limited technical skills and advanced functionality for programmers. TextConverter allows you to capture, structure, transform, and consolidate information from virtually all sources and makes it available for business analysis via flat files and relational databases. It also provides analytical reporting capabilities that allow data mining, monitoring and controlling the data processing process. TextConverter offers significant savings to customers in many industries, including financial, healthcare, and industrial. It automates the extraction, reverse engineering, and loading of data from multiple text-based reports from disparate systems.

Streamline the classification, recognition, and capture of business documents. IBM® Datacap software forms a key capability in the IBM Cloud Pak®. This is for Business Automation. It simplifies the classification, recognition, and capture of business documents. It uses text analytics, natural language processing, and machine learning to extract content from unstructured and variable paper documents. Multichannel input from scanners and faxes, emails and digital files, such as PDF and images from mobile devices and applications. Machine learning is used to automate complex or unidentified formats and highly variable documents that are difficult to capture using traditional systems. Allows you to export information and documents to a variety of applications and content repositories, including IBM and other vendors. To speed up deployment, this interface allows you to configure capture workflows and apps with a simple point-and click interface.

ApPost is a software that extracts and automatically reads information from digital documents, mainly handwritten. The software can automatically process structured and unstructured documents. It can read numeric and alphabetic fields as well as handwritten words. If necessary, it can dynamically change and update the lexicon. N.I.Te offers innovative software technologies for document processing, particularly handwritten documents. These include both off-line and online processing of static images as well as on-line processing of handwriting coordinates obtained by multiple devices. NITe's technology can read handwritten words even without a dictionary. This overcomes the limitations of other solutions on the market. The technology also has the ability to learn from a smaller set of training samples.

You can find mentions of people, places, brands, and events in documents as well as social media. Access additional information about entities easily. You can quickly and easily classify multilingual text into pre-defined taxonomies, or create your own custom classification scheme. Short texts, such as product reviews, can be used to identify whether the opinion expressed is positive, neutral, or negative. Identify key-phrases and concepts that are relevant to the context in articles and social media posts. Compare two texts and calculate their syntactic or semantic similarity. Understanding the difference between two texts on the same subject. Clean text articles can be extracted from blogs, newspapers, and other websites. Get rid of advertising and boilerplate to get the article text and images.

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.

Playmaker is an automation platform for document management that transforms unstructured information from various sources such as PDFs and images, spreadsheets and web data into structured, actionable formats. It offers more than 100 document workflow templates, including financial statements and invoices. Users can streamline processes such as data extraction, validation and integration with other apps. Users can import documents using email, APIs, or manual uploads. The platform then converts the unstructured data to clear, tabular formats that are suitable for powering workflows in more than 300 different applications. Playmaker focuses on security and compliance. Data is stored and processed in the European Union and United States. It adheres to regulations such as GDPR and CCPA.

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

All the information you need to capture vital data across your company. To extract the relevant information from your documents, you can use context-aware machine learning algorithms. Our specialized classifiers can help you identify different types of business documents. You can distinguish between employee contracts, leases, supply arrangements, and many other types of business documents. Quickly identify the language in which your document was written. You can quickly identify if your documents were written in English, Portuguese or German. OCR text and images can be created from more than 20 file types, including email, word documents, PDFs, and other formats. To reduce initial uplift, you can use any AI model from our 1000+ built-in clause or provision models. Our in-house team has trained them. Zuva DocAI uses Zuva's patented, ML technology, which is trusted by top law firms and businesses to identify, extract and analyze the content of documents with unmatched accuracy. Create your own AI applications to meet your needs.

Any printed or handwritten document, letter, form, cheque or invoice, or any other source, can be used to extract business data. Automated transformation of unstructured, printed or handwritten customer information into structured, digital, and business-ready data. The business-ready data can be exported directly to enterprise systems, databases or LOBs. Despite all the digitization and automation, paper is still used by businesses around the world. Unorganized paper and digital files clogging up workflows in large companies and organizations are still a problem. Automated solutions are expensive and time-consuming to implement. In the end, internal employees still need to be involved in the process, which can lead to lower work efficiency and increased processing costs. Companies must compromise and sacrifice cost-effectiveness, speed of processing, accuracy, or data confidentiality.

This smart data extraction and image-to text converter, integrated with machine-learning OCR, allows you to add any document and convert it into structured, searchable, and editable data or text that provides actionable insight for your business. It can be edited electronically, searched for, stored more compactly, and displayed online. Even the most complex & unstructured documents can be accessed for data. The system learns to extract data and improves with time, using machine learning. Fully AI-driven for automation, accuracy and actionable insights.

Use AI-Powered SQL for data extraction, classification, and RAG in documents, webpages and videos, images, and audio. Over 90% of data in the financial and insurance industry is sent in PDF format. The complex tables, charts and graphics in PDF make it a difficult file to work with. Roe allows you to transform years of financial documents and embed them into structured data. Since decades, identifying fraudsters has been a semi-manual task. The documents are too diverse and complex for humans to review. You can easily create AI-powered tags for millions of documents, videos, and IDs with RoeAI.

Parsel, the next generation extraction tool, automatically converts tabular data from PDFs to Excel or CSV. Our technology automatically recognizes the tables in PDFs uploaded by you and then exports them to editable data files within minutes. Our tool will save you hours of time and effort. -- Best-in-class OCR & table extraction AI -- No need for model training or guidance -- Serverless, scalable, secure Drag and drop your file to get going -- API integration available

Automating information extraction can speed up your business processes. Azure Form Recognizer uses advanced machine learning to extract text, key-value pair, tables, and other structures from documents. Azure Form Recognizer can be tailored to your documents on-premises or in the cloud by simply examining a few examples. You can convert documents into usable data in a fraction of time and cost so you can spend more time analyzing the information than compiling it. Automatic custom extraction allows you to get output that is tailored to your layouts and can be improved with human feedback. Data can be ingested from the cloud or the edge. It can then be used to create search indexes, business automation workflows and other useful tools. Rely on enterprise-grade privacy and security for both your data as well as any models you train.

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.

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.

Companies receive tons of information and documents every day, both electronic and paper-based. These documents are time-consuming and resource-intensive to process. IRISXtract™, automatically categorizes documents and extracts the essential data. It transfers the relevant information to your business processes applications faster than manual processing. Our software guarantees paperless processing in all languages and for every process. A revolutionary AI-based classification engine that analyzes documents using statistical operators based on certain characteristics and characteristic values. Data extraction is free-form and full-text, without the need for manual configuration, complicated training, or templates.

Fastcapture uses Artificial Intelligence to automatically classify documents and extract the relevant information. It can work with both structured and unstructured files. To automate different business problems, we use deep learning techniques and business specialists as trainers to provide efficient solutions. We have created tools that make it easier to quickly and efficiently roll out our solutions. These tools are a culmination of the many years of experience we have gained working with clients. We have created a company culture that attracts top data specialists. We value experience, knowledge, and a job well done. We value positive attitudes and the willingness to tackle complex problems.

Transform unstructured text into structured data and extract key information with ease. Automated resume data sorting allows for a quick evaluation of candidates. Customer feedback and sentiments can be used to improve products and services. Utilize customer interaction data to build loyalty and personalize experiences. Market data can be used to identify trends and seize market opportunities. Financial documents can be analyzed in depth to help you make strategic decisions. Provide us with the information that you want to extract. Send us your documents or text in any format. We will accurately extract data for you. With advanced algorithms, you can streamline your data extraction processes and save time and resources. We handle everything, from small tasks to large datasets. Our professional features will optimize your business processes.

GPT Parser revolutionizes data extraction. Extract structured data from documents, PDFs and emails. Export the data in real time to any app. Extract signatures, dates, contact information and other key details from emails and texts written by humans. Digitize handwritten lists, notes, and other data to create organized and actionable information. Capture invoices, receipts and purchase orders to capture information such as amounts, dates, ordered products, and vendor details. Contracts can be analyzed to extract key data, such as parties involved, terms, and other critical information. This simplifies contract management. Easily extract important details from CVs and Resumes, such as names, contact info, and work history. Order processing can be streamlined by extracting the order numbers, items and delivery details directly from confirmation documents.

NetOwl Extractor provides highly accurate, fast and scalable entity extraction in multiple language using AI-based natural languages processing and machine learning technologies. NetOwl's named-entity recognition software is available on premises and in the cloud. This allows for a variety Big Data Text Analytics applications. NetOwl's named entity recognition software can be deployed on premises or in the cloud. It supports entity extraction from over 100 entities. It includes people, different types of organizations (e.g. companies, governments), various types of places (e.g. countries, cities), addresses and artifacts as well as phone numbers, titles and titles. This vast named entity recognition (NER), forms the foundation for advanced relationship extraction and event extraction. Domains include Finance, Politics and Homeland Security, Law Enforcement, Military, National Security and Social Media.

There are many e-mails you receive daily, but only a few that need your immediate attention. The email classifier below will help you keep an organized inbox. We summarize customer complaints and notify #customersupport on Slack. #customer-relation is for delayed orders. You want to be informed about what happened after a customer call with your support representative. Instead of listening to the entire call, create a Waveline flow which summarizes the key points. Many people have writer's block when they write text. Waveline allows you to quickly build an internal tool that automatically collects information from LinkedIn and Google searches about the recipient to create a highly personalized draft. Unstructured data can be repackaged into a structured format. Waveline uses LLMs for extracting information from text, images and other sources.

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.

QDox automates extraction and processing of data from unstructured documents, such as invoices and contracts. The system uses artificial intelligence and machine-learning algorithms to achieve high accuracy in document processing. QDox allows enterprises to create custom document processing workflows that extract essential information and use the data as needed. QDox offers pre-trained models across more than 100 documents. The QDox Developer Toolsuite, human-in the-loop architecture and pre-built components can reduce development time by up to 70% without compromising accuracy.

JPedal makes it easy to work with PDF files in Java. All common tasks can be solved by simply adding a few lines code to your application. IDRsolutions has been actively developing the software for more than 20 years. It can work with any problem PDF files. JPedal supports all PDF 2.0 file specifications, including Encyption and Blending, Forms and Annotations, PostScript and OpenType fonts. JPedal comes with lots of sample code and APIs that can be easily integrated into your code. Adding a feature to your code requires only 2-3 lines of code. JPedal uses its own font engine and custom images libraries to produce high quality images and provide maximum Java performance. JPedal is actively being developed with nightly builds as well as monthly releases. The same people who code the code also provide support.

Veryfi OCR API extracts and categorizes details from unstructured consumer invoices and purchase receipts down to line items (SKU level purchase data) at large scale, without the need for traditional limitations such as templates or humans in-the-loop. Veryfi technology can be used straight out of the box. This means that there is no need for training, no human involvement, and no need to use templates. To provide instant value, all documents are processed in real time using Veryfis pre-trained machine model to process them. Veryfi's mission to liberate humanity from manual back-office work is his.

The easiest way to extract data points in unstructured text. You can simultaneously search through prospectus, research reports, customer requests, feedback, and other data sources to find, track, and analyze custom-defined data points. Access over 100 unique data points to help you manage your risk and investment strategy. You can search and create custom data sets using EDGAR and other sources. Streamline your deal underwriting process. Streamline your capital markets, structured finance legal flow. Instantly extract over 100 data points to help you categorize, compare, and collaborate with clients. Unstructured text from PubMed and clinical trial data can be deconstructed to reveal diseases, genes, proteins, symptoms, and more. All your research is in one place. Our Chrome plug-in allows you to import research from any source directly into your workspaces. Digital PDFs can be made machine-readable by our Chrome plug-in. JSON and HTML output with detailed section hierarchy and multi-level tables. Lists, header, footer, and watermarks are removed.

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.

The Accern No-Code NLP Platform empowers citizen data scientists to extract insights from unstructured data, minimize time to value and maximize ROI with pre-built AI/ML/NLP solutions. Recognized as the first No-Code NLP platform and industry leader with the highest accuracy scores, Accern also enables data scientists to customize end-to-end workflows that enhance existing models and enrich BI dashboards.

The future of alternative investments is being powered by the first-of-its kind AI technology. Canoe has reimagined alternative investments using cloud-based, machine-learning technology for document collection and data extraction. We turn complex documents into actionable intelligence in seconds and empower allocators to unlock new efficiencies in their businesses. Our cloud-based repository allows you to categorize, rename, store, and maintain documents in a systematic and consistent manner. Use AI and machine-learning-based collective intelligence to identify and extract data and then normalize it. To ensure data accuracy, you can apply hundreds of investment, accounting and business rules. Transmit data seamlessly to any downstream system via APIs or compatible flat-file formats.

Ultra OCR® allows us to extract text from all types of documents. RPA allows us to extract information from websites, legacy systems, ERPs, and public databases. Nuveo's NLP/ML systems analyze all captured data and reduce the time required for manual analysis. After structuring and analysing the data, the RPA or developed interfaces insert the information in the ERPs. The entire process can be automated. Ultra OCR® is a patent by Nuveo that allows you to recognize characters, words, or terms in images and PDFs. High-tech image processing algorithms ensure a much higher recognition efficiency than the average market. Machine Learning (ML), and Natural Language Processing, (NLP), are technologies that allow you to learn, interpret, and make decisions from documents. The system's accuracy will increase the more information that is processed.

Upload forms and extract the data, including handwriting, scans at low DPI and faxes. Handwriting and low-quality machine prints from paper are extracted more accurately than OCR, humans, OCR, and everyone else. Interested in getting started? Register for a free account and get 30 days of trial. The trusted platform for reading, enriching and delivering data from paper. SS&C Chorus Document Automation has been proven to be the best platform for reading, enriching and delivering data from paper. It is free to use for COVID-19 forms processing and SBA PPP applications. You can also start a 30-day no-risk trial for any other type form. 10k pages per hour, each hour, sorted with 98% accuracy, and digitized with 96% accuracy. Your data entry team can digitize and sort 5,000 pages per hour faster than you. Machine learning was trained on more than 1 billion human-verified data points to achieve unmatched accuracy. Straight-through processing speeds up to 40% without any human intervention

Butler is a platform that allows developers to turn AI into simple APIs. In minutes, you can create, train, and deploy AI Models. No AI experience is required. Butler's user interface is easy to use and allows you to create a complete labeled data set. You can forget about the tedious labeling. Butler automatically selects and trains the right ML model for you. There is no need to spend hours researching which models are the most effective. Butler offers a wide range of customization options that allow you to tailor your model to meet your needs. Don't waste time constructing custom models from scratch or modifying pre-defined models. Any image or document that is not structured can be parsed to extract key data fields and tables. With lightning fast document parsing APIs, you can free your users from the tedious task of manually entering data. Information can be extracted from text, including names, terms, and places. Your product should be able to understand your users as well as you.

It's never been easier to create customs declarations. Upload invoices, packing list, delivery notes and other customs documentation to Dexter. He will take care of the rest while you focus on other tasks that add value. Dexter's customs knowledge in creating customs statements eliminates the need for skilled workers and manual data entry. Dexter can be integrated into your system with little or no effort on your part, saving you up to 90 minutes per case of customs from the first day. Dexter automates the entire process, from raw documents to customs declarations ready for submission. You can process any type of document, whether it's today's invoices or tomorrow's bills. Dexter can read and understand a wide variety of customs documents. You can, however, create your own extraction model. Dexter matches extracted information with master data.

Laser AI is a systematic review tool powered by AI that helps researchers speed up the process of identifying and assessing evidence. It allows reviewers to work faster and reduces their workload. Laser AI uses a variety of AI techniques including machine learning and natural language processing to automate many tasks in systematic reviews. This can save researchers time and effort, and improve the quality of reviews. The platform includes AI-powered data extract, live reviews, and quality assurance features that verify the accuracy of reviews. It is based on strict methodologies that are trusted by top government and academic institutions. It allows organizations to organize data and reuse it with controlled vocabularies, and a data cleaning module. Laser AI provides advanced security features to support living systematic reviews.

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.

Classify large volumes and accurately extract information. Tungsten Transformation speeds up business processes by replacing manual classification, separation, and extraction of documents with touchless processing. Automate the understanding and data collection of any document type for processing or storage. Tungsten Capture & Tungsten Transformation allows you to achieve efficiencies in your document capture processes, and avoid expensive integrations. By eliminating the need for manual classification, separation, and extraction of documents, you can increase productivity and accelerate your business processes. Improve the flow of information within your organization by allowing you to process more transactions quickly and efficiently.

The docBrain platform combines machine learning, data science and DevOps to create a document-centric productive purpose. Deep learning technology makes it possible to build AI models from scratch and create unique solutions for your specific document problems. docBrain's pre-trained models provide years of learning and a low return on investment. Whether you use the pre-trained models or train them yourself, docBrain's solutions will seamlessly integrate with your business systems. docBrain was developed in-house to address Moonoia's document processing problems. These were mainly caused by manual data validation errors that were costly and slowing down the end-to-end process, making automation impossible. OCR technologies on the market were not able to achieve the accuracy required for straight-through processing, especially when dealing with handwritten, unstructured, or low-quality documents.

Automatically extract tabular data from the web. YabTab applies advanced machine learning to extract the most important content from any website. YabTab API allows you to extract high-quality tabular information from any website. This includes product listing pages, course catalogs, job postings, and any other listing. YabTab uses Machine Learning techniques to identify patterns on any web page. This is a skill that only humans have ever been able to master. YabTab's simple APIs allow you to extract any website in just seconds. You can extract any website from the web without worrying about complicated organization. YabTab's revolutionary Machine Learning gives it human-like resilience to cosmetic UI modifications. YabTab is superior to all other scraping solutions on the market.

Through a personal process, we create unique solutions for your company. From complex manual paperwork to intelligent document processing machines, nightmares can be turned into sweet dreams. Advanced AI allows you to automate business processes. Kapture is a cloud-based, self-service platform for enterprise-grade form extraction. AI-based OCR is used to automate data classification and extraction for different industries. We can handle images and forms of all sizes, including tiffs, pdfs, docxs, doc, doc, etc. Kapture allows you to create a classifier engine, which can be used to segregate your different types of documents. Your invoices can be distinguished from your loan document, kyc, and so forth. For further processing, the bulk of composite data can easily be divided and separated into its own classifier folder. Extractor automatically captures the critical values from your forms and printed materials at 80% automation.

Extract data from digital and scanned documents. Documents of any complexity and layout can be processed. Transform into a machine-readable, fully structured format. All your business documents can be processed automatically. Information from your digital and scanned documents can be extracted into a structured format. The structured and cleaned data can be used to create a downstream process, store it in a database, or exported into a spreadsheet. You can do more than OCR and standard document parsing. Most applications are not able to read plain content from a document. It must be converted to machine-readable format. Transform text and data embedded in documents of any size or complexity into structured data. Your business will benefit from scale and efficiency. Automate data extraction to see immediate results in your workflows. You can process more documents with fewer document scrubbers and eliminate human error.

Our intelligent document management platform automates extraction, classification, classification, indexing, and redaction for companies from all industries. Extract's document management platform can read your unstructured documents. Our platform is customizable and intelligently extracts and redacts the information you require and routes your data and original document to their final destination. Our platform runs your source documents through OCR software and rules that we have written specifically for your company. The Extract Systems Platform will extract and redact the information you require. Our intelligent software allows us to send the data and original documents to any destination you choose. This reduces the time required to manually enter data and reduces human error that can be caused by manual data entry. It also speeds up the access to valuable data so you can compare, report, and analyze it.