Alternatives to NeuralSpace

Dialogflow by Google Cloud is a natural-language understanding platform that allows you to create and integrate a conversational interface into your mobile, web, or device. It also makes it easy for you to integrate a bot, interactive voice response system, or other type of user interface into your app, web, or mobile application. Dialogflow allows you to create new ways for customers to interact with your product. Dialogflow can analyze input from customers in multiple formats, including text and audio (such as voice or phone calls). Dialogflow can also respond to customers via text or synthetic speech. Dialogflow CX, ES offer virtual agent services for chatbots or contact centers. Agent Assist can be used to assist human agents in contact centers that have them. Agent Assist offers real-time suggestions to human agents, even while they are talking with customers.

An API powered by Google's AI technology allows you to accurately convert speech into text. You can accurately caption your content, provide a better user experience with products using voice commands, and gain insight from customer interactions to improve your service. Google's deep learning neural network algorithms are the most advanced in automatic speech recognition (ASR). Speech-to-Text allows for experimentation, creation, management, and customization of custom resources. You can deploy speech recognition wherever you need it, whether it's in the cloud using the API or on-premises using Speech-to-Text O-Prem. You can customize speech recognition to translate domain-specific terms or rare words. Automated conversion of spoken numbers into addresses, years and currencies. Our user interface makes it easy to experiment with your speech audio.

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.

Speechmatics is the most accurate and inclusive speech-to-text API ever released. Speechmatics is the world’s leading expert in Speech Technology, combining the latest breakthroughs in AI and ML to unlock the business value in human speech. Businesses use Speechmatics worldwide to accurately understand and transcribe human-level speech into text regardless of demographic, age, gender, accent, dialect, or location in real-time and on recorded media. Combining these transcripts with the latest AI-driven speech capabilities, businesses build products that utilize summarization, topic detection, sentiment analysis, translation, and more. How is Speechmatics different? * The most accurate speech recognition on the market * 55 languages with vast accent and dialect coverage * Cloud-based or on-premises deployment options for data security * Real-time transcription with low latency and high accuracy * Real-time translation with 69 language pairs * Speech Understanding features such as Summaries, Sentiment, Topic Detection, Chapters, Audio Events * Fast and secure transcriptions for pre-recorded audio * Automatic translation and language identification * A culture of R&D in deep learning and speech recognition

Amazon Lex allows you to create conversational interfaces in any application by using voice and text. Amazon Lex offers advanced deep learning functions such as automatic speech recognition (ASR), which converts speech to text, or natural language understanding (NLU), which recognizes the intent of the text. This allows you to create applications that are engaging and have lifelike conversations. Amazon Lex gives developers the same deep learning technology that powers Amazon Alexa. This allows them to quickly and easily create sophisticated, natural-language, conversational bots ("chatbots") with ease. Amazon Lex allows you to create bots that increase productivity in the contact center, automate simple tasks and improve operational efficiency across the enterprise. Amazon Lex is a fully managed service that scales automatically so you don’t have to worry about infrastructure management.

Our APIs make it easy to automate document processing in your software. All APIs accept input documents (photo or PDF) and return a structured reply with all the information that you require. Instant processing ensures the best UX. High-quality results regardless of image quality. Get structured data, no post processing required. To make it easy for developers to create robust APIs that are ready to use, we apply state-of-the-art deep learning research to the field. Our algorithms find the relevant information in the image before reading it, unlike traditional OCR. This new paradigm breaks down the traditional OCR performance barriers in terms speed, accuracy, and robustness. No training, templates or setup required. Software developers can access our APIs through plug-and-play. An API-first platform, designed for developers. Developers get a free plan, with no credit card. Synchronous cloud-based APIs

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.

Amazon Polly turns text into speech. This allows you to create apps that talk and create new types of speech-enabled products. The Text-to-Speech service (TTS) by Polly uses advanced deep learning technology to synthesize natural sounding human voice. You can create speech-enabled apps that work in many countries using dozens of realistic voices from a wide range of languages. Amazon Polly also offers Standard TTS voices. However, Neural Text-to Speech (NTTS), voices are available that offer advanced speech quality improvements through a machine learning approach. The Neural TTS technology of Polly also supports two styles of speaking that will allow you to better match your application's delivery style to the speaker: a Newscaster reading style, which is best suited for news narration use cases; and a Conversational speaking style, which is ideal to facilitate two-way communication such as telephony applications.

Amazon Textract, a fully managed machine-learning service, automatically extracts text from scanned documents. It goes beyond optical character recognition (OCR), to identify, understand and extract data from forms or tables. Today, many companies extract data from scanned documents such as PDF's and tables using manual data entry. This can be slow, expensive, and prone to errors. Or, they use OCR software which requires manual configuration and must be updated every time the form is modified to be usable. Textract uses machine-learning to automatically read and process any type document. It extracts text, forms, tables, and other data without any manual effort or custom code. Textract allows you to quickly automate manual document activities and process millions of pages in just hours.

OpenAI Realtime API, a newly-introduced API announced in 2024, allows developers to create apps that facilitate real-time interactions with low latency, such as speech-tospeech conversations. This API is intended for use cases such as customer support agents, AI-based voice assistants, or language learning apps. The Realtime API is a much more efficient implementation than previous implementations, which required multiple models to perform speech recognition and text-to voice conversion.

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.

You can choose from our library and fine-tune or create your own capabilities to analyze, process, and present text, audio, and video at large scale. Incorporate advanced NLP in your app or workflow. You can choose from the existing library or create your own. With just one API call, you can summarize, tag, and analyze language using stackable, composable NLP blocks. These blocks are built on state of the art models. Our powerful Custom-Skill engine allows you to create and fine-tune custom Language skills from your data. Only 5% of the world’s population can speak English as their first language. One AI's capabilities can be used in multiple languages. You can build a podcast platform, CRM or content publishing tool using One AI's multilingual capabilities.

Adlib is a robotic process automation solution designed to help businesses in finance, petroleum, energy, manufacturing, government, and other sectors automatically discover and classify documents from multiple unstructured sources to create clean structured data. Managers can recognize duplicate files, personally identifiable information (PII), and signatures during data extraction processes. The platform enables teams to convert documents from 300+ formats into searchable and auditable PDFs on a unified interface. Adlib offers industry-leading optical character recognition (OCR) functionality, allowing teams to transform JPG, vector files, charts, CAD drawings, and other image files into PDFs. Businesses can also include auto-generated dynamic tables of contents, hyperlinks, watermarks, and headers or footers to automate document assembly operations. Adlib lets team leaders manage the redaction of content in accordance with data privacy, General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), Brexit, International Financial Reporting Standard (IFRS 17), and other compliance standards. Employees can also utilize the AI-enabled solution to validate classification tags and export documents.

IxorDocs captures data (e.g. Email, text, PDF, and scanned documents are categorized and relevant data is extracted for further processing. This is done using AI technologies, such as computer vision (OCR), Natural Language Processing, Machine/Deep Learning, and Natural Language Processing. Our solution is noninvasive and can integrate with internal applications, systems external to the company and various automation platforms. IxorDocs is used by many business functions and verticals for a variety of use cases.

ExB's AI and ML Driven Cognitive Process Automation platform allows insurance companies convert any type of text into actionable insights and information for input management and process automatization. Insurance companies can use pre-trained policies management, claims management, and text mining in reports. They can also request that we train ad-hoc models to fit their business workflows.

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.

Datamatics TruCap+ automates data collection in a template-free manner and produces the output with more than 99% accuracy. It is powered by AI/Machine Learning algorithms and fuzzy logic. It can read unstructured documents and continuously learn from them to provide more than 99% accuracy. Datamatics TruCap+ is the perfect solution to scale and start your digital transformation journey.

Document processing can be complicated but it doesn't need to be. Intelligent document processing platform that can understand what you are trying to find, extract and categorize. Infinia ML uses machine-learning to quickly understand context and the relationships between words and charts. We can help you achieve your goals with our machine learning capabilities. Machine learning can help you make better business decisions. We tailor your code to your business problem, uncovering hidden insights and making accurate predictions to help your zero in on success. Our intelligent document processing solutions don't work by magic. They are based on decades of experience and advanced technology.

Google's AI technology allows you to convert text into natural-sounding voice using an API. Google's AI technologies can be used to generate speech that has a human-like intonation. The API is based on DeepMind’s speech synthesis expertise and delivers voices with human-like intonation. Choose from 220+ voices in 40+ languages, including Mandarin, Hindi Spanish, Arabic, Russian and more. Choose the voice that best suits your user and application. Create a voice that is unique to your brand and use it across all customer touchpoints. Don't use a voice that is shared by other organizations. You can create a more natural-sounding voice by training a custom model with your own audio recordings. You can choose and define the voice profile for your organization, and quickly adapt to changes in voice requirements without having to record new phrases.

AssemblyAI's Speech-to-Text APIs allow you to convert audio and video files, as well as live audio streams, into text. Audio intelligence, summarizations, content moderations, topic detection and more. Powered by cutting edge AI models. AssemblyAI provides developers with a great experience at every step. From detailed changelogs to in-depth tutorials, AssemblyAI is committed to providing a great developer experience. Our simple API caters to all of your business speech to text needs, from core speech-totext conversion to sentiment analyses. We provide cost-efficient solutions for speech-to-text to startups of all sizes. We are built for scale. We process millions audio files each day for hundreds customers, including Fortune 500 companies. Universal-2: Our advanced speech-to text model captures human speech complexity for perfect audio data that enables sharper insights.

GPT-4o (o for "omni") is an important step towards a more natural interaction between humans and computers. It accepts any combination as input, including text, audio and image, and can generate any combination of outputs, including text, audio and image. It can respond to audio in as little as 228 milliseconds with an average of 325 milliseconds. This is similar to the human response time in a conversation (opens in new window). It is as fast and cheaper than GPT-4 Turbo on text in English or code. However, it has a significant improvement in text in non-English language. GPT-4o performs better than existing models at audio and vision understanding.

ChatGPT is an OpenAI language model. It can generate human-like responses to a variety prompts, and has been trained on a wide range of internet texts. ChatGPT can be used to perform natural language processing tasks such as conversation, question answering, and text generation. ChatGPT is a pretrained language model that uses deep-learning algorithms to generate text. It was trained using large amounts of text data. This allows it to respond to a wide variety of prompts with human-like ease. It has a transformer architecture that has been proven to be efficient in many NLP tasks. ChatGPT can generate text in addition to answering questions, text classification and language translation. This allows developers to create powerful NLP applications that can do specific tasks more accurately. ChatGPT can also process code and generate it.

GPT-4 (Generative Pretrained Transformer 4) a large-scale, unsupervised language model that is yet to be released. GPT-4, which is the successor of GPT-3, is part of the GPT -n series of natural-language processing models. It was trained using a dataset of 45TB text to produce text generation and understanding abilities that are human-like. GPT-4 is not dependent on additional training data, unlike other NLP models. It can generate text and answer questions using its own context. GPT-4 has been demonstrated to be capable of performing a wide range of tasks without any task-specific training data, such as translation, summarization and sentiment analysis.

With just a few lines, you can integrate natural language understanding and generation into the product. The Cohere API allows you to access models that can read billions upon billions of pages and learn the meaning, sentiment, intent, and intent of every word we use. You can use the Cohere API for human-like text. Simply fill in a prompt or complete blanks. You can create code, write copy, summarize text, and much more. Calculate the likelihood of text, and retrieve representations from your model. You can filter text using the likelihood API based on selected criteria or categories. You can create your own downstream models for a variety of domain-specific natural languages tasks by using representations. The Cohere API is able to compute the similarity of pieces of text and make categorical predictions based on the likelihood of different text options. The model can see ideas through multiple lenses so it can identify abstract similarities between concepts as distinct from DNA and computers.

AI21 Studio provides API access to Jurassic-1 large-language-models. Our models are used to generate text and provide comprehension features in thousands upon thousands of applications. You can tackle any language task. Our Jurassic-1 models can follow natural language instructions and only need a few examples to adapt for new tasks. Our APIs are perfect for common tasks such as paraphrasing, summarization, and more. Superior results at a lower price without having to reinvent the wheel Do you need to fine-tune your custom model? Just 3 clicks away. Training is quick, affordable, and models can be deployed immediately. Embed an AI co-writer into your app to give your users superpowers. Features like paraphrasing, long-form draft generation, repurposing, and custom auto-complete can increase user engagement and help you to achieve success.

spaCy is designed for real work, real products and real insights. The library respects your time, and tries not to waste it. It is easy to install and the API is simple and efficient. spaCy excels in large-scale information extraction tasks. It is written in Cython, which is carefully managed for memory. SpaCy is the library to use if your application requires to process large web dumps. spaCy was released in 2015 and has been a industry standard with a large ecosystem. You can choose from a wide range of plugins and integrate them with your machine-learning stack to create custom components and workflows. You can use these components to recognize named entities, part-of speech tagging, dependency parsing and sentence segmentation. Easy extensible with custom components or attributes Model packaging, deployment, workflow management made easy.

Integrate our text analytics APIs into your product, platform, and application to add world-leading NLP. This is the most complete NLP feature stack available. It has been 19 years in development and is constantly improving with new configurations, models, and libraries. You can determine whether a piece is positive, neutral, or negative. Sort and organize documents into configurable groups. Determine the intended purpose of customers and reviewers. Locate people, places and dates. Find companies, products, jobs, titles and more. Our text analytics and NLP systems can be deployed on any combination of public, private, hybrid, or on-premise cloud infrastructures. Our core text analytics and natural-language processing software libraries are available to you. This product is ideal for data scientists and architects who need to have full access to the underlying technology, or for on-premise deployment security or privacy reasons.

GPT-3.5 is the next evolution to GPT 3 large language model, OpenAI. GPT-3.5 models are able to understand and generate natural languages. There are four main models available with different power levels that can be used for different tasks. The main GPT-3.5 models can be used with the text completion endpoint. There are models that can be used with other endpoints. Davinci is the most versatile model family. It can perform all tasks that other models can do, often with less instruction. Davinci is the best choice for applications that require a deep understanding of the content. This includes summarizations for specific audiences and creative content generation. These higher capabilities mean that Davinci is more expensive per API call and takes longer to process than other models.

MeaningCloud is the easiest, most cost-effective, and most cost-effective way to extract meaning from unstructured content (articles, documents, social conversations, etc.). We offer text analytics products that provide the most accurate insights possible from any content in any language. We do it both SaaS-based and on-prem. We have worked in a variety of industries, including pharma, finance, media and retail. We develop tailored and industry-specific solutions. Our scenarios include: * Insight extraction * Analysis of the voice and opinions of the customer, employee or citizen. (User experience analytics and customer experience analytics in general. * Intelligent document automation Our APIs are free to use (20,000 API calls per year). Get our add-ins for Excel or Google sheets. Our integrations with Dataiku RapidMiner, Automation Anywhere, and Automation Anywhere as well as our SDKs (PHP, Python, Java and JavaScript) are available.

GPT-3 models are capable of understanding and generating natural language. There are four main models available, each with a different level of power and suitable for different tasks. Ada is the fastest and most capable model while Davinci is our most powerful. GPT-3 models are designed to be used in conjunction with the text completion endpoint. There are models that can be used with other endpoints. Davinci is the most versatile model family. It can perform all tasks that other models can do, often with less instruction. Davinci is the best choice for applications that require a deep understanding of the content. This includes summarizations for specific audiences and creative content generation. These higher capabilities mean that Davinci is more expensive per API call and takes longer to process than other models.

Sybrin AI is an integrated technology stack that combines machine learning, computer vision, and data science to intelligently automate business processes. Comprehensive framework for extracting data from non-traditional data sources such as documents, images, video, and videos. Real-time ID capture and extraction from any ID document anywhere in the world. Sybrin intelligent document capture allows you to integrate image capture, clean-up, recognition, data extraction, and data extraction into any application. To prevent spoof attacks and verify that the remote contact is real, active or passive liveness detection uses image processing techniques and neural network to detect if the person behind it is real. Sybrin Identity Verification validates that the person is real by matching their identity documents against a live selfie or third-party database.

The Speech SDK makes it easy to create voice-enabled apps quickly and confidently. The Speech SDK can accurately transcribe speech to text, create natural-sounding text/speech voices, and translate spoken audio. It can also be used to recognize speaker during conversations. Speech studio allows you to create custom models that are tailored to your app. Speech studio offers state-of the-art speech-to-text, speech-to-text, and award-winning speaker recognition. Your speech input is not recorded during processing, so your data remains yours. You can create custom voices, add words to your base vocabulary, and build your own models. Speech can be run anywhere, in the cloud and at the edge in containers. Transcribe audio in more than 92 languages. Call center transcription can help you gain customer insight, improve customer experience with voice-enabled assistants and capture key discussions in meetings. Text to speech allows you to create apps and services that can speak conversationally using more than 215 voices and 60 languages.

Capture the essential information on invoices, eInvoices, purchase order, receipts and IDs. Customize workflows according to your needs, and improve efficiency by reducing processing times. Intelligent Document Processing SenseTask AI extracts crucial data with impressive accuracy. This reduces manual data entry errors and increases accuracy. Your team can focus on the important things by processing documents at lightning-fast speeds and handling invoices seamlessly. Document Workflows & Approvals SenseTask’s Document Management System allows you to build workflows and approve steps around key data extracted, ensuring that each document moves smoothly along its unique process.

Artificial intelligence can bring your videos, presentations, tutorials, and training to life. Create an audio version for an employee training manual to make it more accessible to employees who have difficulty reading or prefer listening over reading. The AI text-to-speech converter can also be used to create ai voiceovers in presentations, videos and other multimedia material. Convert spoken words to written text for automatic transcription of meetings, interviews and more. You can easily and quickly convert your spoken words to actionable information with AI speech-to-text converter. This will streamline your workflows and increase productivity. Create videos with AI avatars that are unique or customize them to create an engaging, interactive experience. Create customized explainer videos and tutorials from audio, blog articles, and more.

OpenText Capture Center (formerly DOKuStar Capture Suite), uses the most advanced document recognition and character recognition capabilities to convert documents into machine-readable information. Capture Center takes the data stored in scanned images and sends it to you. It then interprets it using OCR and ICR, IDR and adaptive reading. Capture Center saves time and money by reducing manual keying and paper handling. Through rule-based classifications, extractions, and verification, you can reduce errors and improve data quality in your ECM and ERP systems. The accuracy of your ECM or ERP systems is further improved by one-click and manual exception handling. OpenText Capture Center efficiently and quickly captures and digitizes documents and forms from a variety of sources, including multifunction scanners (MFPs), file systems folders, email servers, Microsoft®, SharePoint®, servers and FTP sites.

Intelligent OCR technology and Document AI software allow you to convert unstructured documents like bank statements, pay slips, and invoices into actionable data. It can work with any document format. In just a few clicks, extract totals, invoice numbers and payment terms from multiple invoices. To automate decisions, categorize table line items. Validate data captured with an external API or database and review the data. Your data is protected with enterprise-grade security. Docsumo gives you complete control over the data that is processed through Docsumo.

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.

Organizations are prone to high costs due to manual document processing. Our deep learning technology automates complex document processes to make back-offices more productive. Use cases for Hypatos document processing AI. Deep learning solutions are available for many document processes. Our pre-trained AI models and powerful machine-learning pipeline software make a rapid impact on back-office efficiency. Back-office operations are impacted by accounts payable processing. Hypatos provides solutions to automate the capturing of invoice data, tax compliance validation, and accounting.

Automate your back office using artificial intelligence and crowdsourcing. With 99+% accuracy, extract and analyze data from any image, regardless of its quality. Data capture has never been simpler. Automatically parse images into whatever format is most convenient. Part machine, part human. Ocrolus combines its AI with human quality control specialists to achieve exceptional accuracy.

NuOCR is an enterprise-grade optical character recognition system that automates data extract from paper, images, and PDF files. It allows the user to validate extracted content, save it to the database, or download it. NuOCR is intelligent document processing software. It converts unstructured data to structured digital data, enabling enterprises to enhance their CRM capabilities. Manual data collation can be tedious and one small error can lead to mismatched outputs that affect the quality of data. An automated data capture system can solve this problem. It collects information from any document, and makes sure it is correct every time. NuOCR is an intelligent document processing program that converts any document, image file, paper document or pdf document into digital data that is easily searchable and error-free.

Bautomate is an intelligent platform that automates business processes across a range of industries. Bautomate, which is cloud-based, is built on Artificial Intelligence and Machine Learning (ML) technologies to improve operational efficiency. Bautomate combines Robotic Process Automation, Business Process Management (BPM), Document Management System(DMS), and Contextual Content Extract to automate business processes. These building blocks are: BPM with intelligent BOTS: Flexible, scalable Workflows that automate repetitive tasks by interfacing with other systems. Cognitive Content Capture: A method for extracting intelligent content (OCR) from structured or unstructured documents, such as PDFs, Images, and so on. Document Management System: Securely organize, manage, and track all documents within your organization.

AI-driven spend analyses to unlock savings. Transform invoices or contracts into actionable data. Pay your suppliers with confidence. Each line is automatically compared to your pricing terms, contracts, quotes or estimates. Stop overcharging instantly by detecting anomalies. Explore detailed maps of all your expenses. Compare each transaction with those of your competitors. Optimise every purchase to get the best price and supplier every time. Turn all your documents, from contracts to reports, into actionable insights. Easily customize data extraction to meet your unique needs. OCR technology powered by AI-driven computer vision, and natural language understanding. Our intuitive interface allows you to easily define and format extraction field. Discover a wide range of customizable templates that will suit your workflow.

Your language data can be turned into insights quickly and easily with no code. Join over 10,000 companies, researchers, marketers, and other professionals who use Speak to reduce manual labor, unlock competitive advantage, strengthen customer relationships, and make better business decisions. Speak allows for easy uploading audio, video, and other data to be used in qualitative research, academic research and marketing research. You can convert audio and video to text using automated transcription, import CSVs to bulk analyze, capture recordings with an embedded recorder, create directly within Speak, or use popular integrations that automate capture. Speak can help you find actionable, competitive insights in data.

Tungsten eFlow, which takes a holistic look at an enterprise's document-driven processes, provides a solution that is powerful enough to address them all. Integrated workflow engine automates business applications from beginning to end, helping you stay competitive. You can adapt quickly and easily to any change without consuming existing resources. Staff will have more time to keep your company ahead of its competitors by removing manual tasks. Employees can collaborate easily and communicate better with customers, suppliers, and partners using web-based workflow and archive functionality. Rapid data retrieval and archiving gives you greater transparency, accountability, and control over information throughout its lifecycle.

Create AI applications that are market-ready and cutting-edge with customizable APIs and models. Studio, SDKs and APIs can be used to quickly integrate generative AI into production workloads. Build AI apps that are powered by foundation models from OpenAI Meta and Microsoft to gain a competitive advantage. With Azure Security, responsible AI tools, and built-in AI, you can detect and mitigate harmful usage. Create your own copilot applications and generative AI with the latest language and vision models. Search for the most relevant information using hybrid, vector and keyword search. Monitor images and text to detect offensive content. Translate documents and text in more than 100 different languages.

Eden AI streamlines the utilization and implementation of AI technologies through a unique API, seamlessly linked to top-tier AI engines. We value your time, sparing you the hassle of choosing the ideal AI engine for your project and data. Forget about waiting for weeks to switch your AI engine – with us, it's a matter of seconds, and it's completely free. Our commitment is to secure the most cost-effective provider without compromising performance quality.

ChatGPT Enterprise is the most powerful version yet, with enterprise-grade security and privacy. 1. Training models do not use customer prompts or data 2. Data encryption in transit and at rest (TLS 1.2+). 3. SOC 2 compliant 4. Easy bulk member management and dedicated admin console 5. SSO and Domain Verification 6. Use the analytics dashboard to understand usage 7. Access to GPT-4 Advanced Data Analysis and GPT-4 at high speed is unlimited 8. 32k token context window for 4X longer inputs, memory and inputs 9. Shareable chat templates to help your company collaborate

WaveThruVec's state-of the-art WaveThruVec model can transform text into AI-generated speech using TTS. Voice to Voice conversion converts existing or new voice recordings into an AI voice. With our Visual and Motion API, you can create amazing animated and talking virtual characters. Our API offers a wide range of synthetic voices, including male, female, and unique character voices, that can be used to create natural and expressive speech in your app, game, project, or app.

Komprehend AI APIs provide the most complete set of document classification and NLP programming APIs for software developers. Our NLP models have been trained on more than a million documents and provide state of the art accuracy for most NLP use cases, such as sentiment analysis or emotion detection. Get our Text Analysis API free demo. It provides useful insights from textual data and maintains high accuracy in real life. It can work with a variety data types, from healthcare to finance. Private cloud deployments via Docker containers and on-premise deployments are supported. This prevents data leakage. Your data is protected and the GDPR compliance guidelines are followed to the letter. Monitor online conversations to understand the social sentiment surrounding your brand, product, and service. Sentiment analysis, also known as contextual mining of text, is a method that extracts and identifies subjective information from the source material.

Amazon Comprehend uses machine learning to discover insights and relationships in text. No prior machine learning experience is required. Your unstructured data can hold a treasure trove. Your unstructured data can provide valuable insights into customer sentiment. These include customer emails, product reviews, support tickets, social media and even advertising copy. How can you get there? Machine learning is able to identify specific items of interest within large swathes text (such finding company names in analyst report), and can also learn the sentiment hidden within language (identifying negative customer reviews or positive customer interactions with service agents). This is possible at a nearly limitless scale. Amazon Comprehend uses machine-learning to help you discover the relationships and insights in your unstructured data.