Best Artificial Intelligence (AI) APIs for Freelancers

Multilingualize your content and apps with machine translation that is available in thousands of languages. The Translation API Basic Edition instantly translates your website or application texts into more than 100 different languages. The Advanced Edition offers dynamic results as quickly as Basic edition but also includes customization features. This is important when you are using phrases or terms that are unique to certain areas and contexts. The Translation API's pre-trained model supports over 100 languages, from Afrikaans through to Zulu. AutoML Translation allows you to create custom models for more than fifty languages. The Translation API glossary ensures that the content you translate is true to your brand. You only need to specify which vocabulary you would like to give priority to, and save the glossary in your translation project.

Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case. Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection.

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.

OpenAI's mission, which is to ensure artificial general intelligence (AGI), benefits all people. This refers to highly autonomous systems that outperform humans in most economically valuable work. While we will try to build safe and useful AGI, we will also consider our mission accomplished if others are able to do the same. Our API can be used to perform any language task, including summarization, sentiment analysis and content generation. You can specify your task in English or use a few examples. Our constantly improving AI technology is available to you with a simple integration. These sample completions will show you how to integrate with the API.

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.

GPT-4, a large multimodal (accepting text and image inputs) model that can solve complex problems with greater accuracy thanks to its advanced reasoning abilities and broader general knowledge than any of our other models. GPT-4 can be found in the OpenAI API for paying customers. GPT-4, like gpt 3.5-turbo is optimized for chat, but also works well with traditional completion tasks using the Chat Completions API. Our GPT guide will teach you how to use GPT-4. GPT-4 is a newer GPT-4 model that features improved instruction following, JSON Mode, reproducible outputs and parallel function calls. Returns up to 4,096 tokens. This preview model has not yet been adapted for production traffic.

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.

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.

DeepAI was founded on the belief that artificial intelligence can enable sustainable accommodation for all people at a high standard. DeepAI is a technology company that develops technologies to make this future possible. We are working towards the ultimate goal to make AGI easily accessible to everyone. Products built with AI. DeepAI can help you build with AI, whether you need to quickly train your own image recognition algorithms or hire top data scientists. To increase reproducibility, you can publish your data and research side by side. Learn about data science and follow the latest AI research. Contribute to one the largest AI communities in the World. Write guides to share concepts and techniques with the community. DeepAI's mission, through the provision of A.I., is to accelerate the world’s transition to artificial intelligence. agent.

Learn how to implement AI in your business. Watson can help you predict and shape future outcomes, automate complicated processes, and optimize employees' time. To predict and shape future outcomes and automate complex processes, integrate Watson into your workflows and optimize your employees' work hours. To tap into organizational data, integrate Watson into your apps. This will allow you to put AI to use across multiple departments, including finance, customer care, and supply chain. You can make better, more personalized customer experiences, scale the expertise and make smarter business decisions using deep insights from data.

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.

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.

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.

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.

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.

AI/ML API is a game-changing platform for developers and SaaS entrepreneurs looking to integrate cutting-edge AI capabilities into their products. It offers a single point of access to over 200 state-of-the-art AI models, covering everything from NLP to computer vision. Key Features for Developers: Extensive Model Library: 200+ pre-trained models for rapid prototyping and deployment Developer-Friendly Integration: RESTful APIs and SDKs for seamless incorporation into your stack Serverless Architecture: Focus on coding, not infrastructure management Advantages for SaaS Entrepreneurs: Rapid Time-to-Market: Leverage advanced AI without building from scratch Scalability: From MVP to enterprise-grade solutions, AI/ML API grows with your business Cost-Efficiency: Pay-as-you-go pricing model reduces upfront investment Competitive Edge: Stay ahead with continuously updated AI models Technical Highlights: Performance: Low-latency responses for real-time applications Cross-Platform Compatibility: Integrate with any tech stack Robust Documentation: Comprehensive guides and API references Active Developer Community: Access support and share insights

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.

All-in-one domain data resource to obtain website logos, company information, categorization and much more from an email or URL. Our website categorization API can be used to classify a company within 385 topic categories. Our classification taxonomy, which is based on IAB V2 standards, can be used for 1-to-1 personalization, marketing segmentation and online filtering. Our classification taxonomy uses the IAB V2 standard. It can be used for 1-1 personalization and marketing segmentation. Online filtering can also be done using it. There are three top-level categories to choose from. We have three top-level category structures to choose from, whether you require the IAB taxonomy’s deep categorization of a website or prefer a simpler category structure. Our website categorization API uses machine learning (ML), to scan a website's meta tags and content. It extracts the text from the site to classify it and assigns up three categories using natural language processing (NLP).

Isomeric, an API service, transforms unstructured text from websites into structured JSON using advanced AI. Replace your entire scraper with a single API request. Sign up for 200 free credits! No credit card required. Buy more credits starting at $149 for 10k credits. 1 credit = 1 API call. Contact us if you've got any questions, concerns or requests!

The Lettria API is optimized for performance and easy integration. It will allow you to analyze your raw data and find the key elements. Automatic Language Processing is now available as a service. The Lettria API efficiently analyzes all points in contact with customers (emails, support, telephone). It organizes the data to create a clear, usable history and ensure GDPR compliance. It is useful for social listening applications or e-reputation monitoring. It modifies in real-time what is being said about your brand. Complete documentation to make the most of the French / NLP automated processing API. Tutorials to help you deploy the Lettria API into your projects. Transparent algorithms that are clear and orderly.

Machine Learning made simple for everyone The leading Machine Learning platform will take your business to the next level. Get data-driven decisions now! No more cumbersome or expensive solutions. Machine Learning that works. BigML offers a variety of Machine Learning algorithms that are robustly engineered and can be applied across your company to solve real-world problems. You can avoid dependencies on multiple libraries that will increase complexity, maintenance costs, or technical debt in your projects. BigML allows unlimited predictive applications in all industries, including aerospace, automotive and energy, entertainment, financial, financial services, food and healthcare, IoT pharmaceutical, transportation, telecommunications and many more. Supervised Learning: Classification and regression (trees and ensembles, logistic regressions and deepnets), as well as time series forecasting.

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 Rekognition allows you to easily add image and video analysis into your applications using proven, highly-scalable, deep learning technology that does not require any machine learning expertise. Amazon Rekognition allows you to identify objects, people and text in images and videos. It also detects inappropriate content. Amazon Rekognition can also be used to perform facial analysis and facial searches. This is useful for many purposes, including user verification, people counting, public safety, and other uses. Amazon Rekognition Custom Labels allow you to identify objects and scenes in images that meet your business requirements. You can create a model to help you classify machine parts or detect plants that are sick. Amazon Rekognition Custom Labels does all the heavy lifting for you.

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.