Best Artificial Intelligence Software for Quickwork - Page 5
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Compare the Top Artificial Intelligence Software that integrates with Quickwork as of October 2025 - Page 5
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This a list of Artificial Intelligence software that integrates with Quickwork. Use the filters on the left to add additional filters for products that have integrations with Quickwork. View the products that work with Quickwork in the table below.
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1
Nuclia
Nuclia
The AI search engine delivers the right answers from your text, documents and video. Get 100% out-of-the-box AI search and generative answers from your documents, texts, and videos while keeping your data privacy intact. Nuclia automatically indexes your unstructured data from any internal and external source, providing optimized search results and generative answers. It can handle video and audio transcription, image content extraction, and document parsing. Allow your users to search your data not only by keywords but also using natural language, in almost any language, and get the right answers. Effortlessly generate AI search results and answers from any data source. Use our low-code web component to integrate Nuclia’s AI-powered search in any application or use our open SDK to create your own front-end. Integrate Nuclia in your application in less than a minute. Choose the way to upload data to Nuclia from any source, in any language, in almost any format. -
2
Rosette
Basis Technology
An adaptable platform for text analysis and discovery. Built for the most demanding text analytics applications and engineered to deliver high accuracy without sacrificing speed. A fully adaptable platform that is an ideal foundation for natural language processing applications. Text analytics fundamentals to prepare your data for analysis. Language-specific tools for tokenization, part-of-speech tagging, lemmatization, decompounding, and Chinese and Japanese readings for your input. Every language, including English, presents unique and difficult challenges for search applications to deliver relevant and precise results. Rosette® Base Linguistics (RBL) enables enterprise applications to effectively search or process text in many languages by providing a complete set of linguistic services. RBL enriches the original text in its native language for best-of-class natural language processing, improving speed and accuracy. -
3
ArangoDB
ArangoDB
Natively store data for graph, document and search needs. Utilize feature-rich access with one query language. Map data natively to the database and access it with the best patterns for the job – traversals, joins, search, ranking, geospatial, aggregations – you name it. Polyglot persistence without the costs. Easily design, scale and adapt your architectures to changing needs and with much less effort. Combine the flexibility of JSON with semantic search and graph technology for next generation feature extraction even for large datasets. -
4
Caplena
Caplena
• Categorize Themes • Visualize Results • Topic-Level Sentiment Analysis • Powered by Collaborative AI Caplena is a customer feedback tool that uses augmented intelligence to help market researchers, CX professionals, and consultants uncover deep insights from their open-ended text. Caplena’s story began when co-founders, Maurice and Pascal, realized that most market research firms that handle customer feedback face the same issue: Too many open ends and not enough time to accurately analyze them. Since its inception in the Spring of 2018, Caplena has analyzed over 50 million responses, with 120 new projects added each week. Today Caplena is the text analytics tool of choice for over 100 companies in more than 15 countries, boasting customers such as Swisscom, eBay, DHL, Coop, and Joyn. -
5
LTM-1
Magic AI
Magic’s LTM-1 enables 50x larger context windows than transformers. Magic's trained a Large Language Model (LLM) that’s able to take in the gigantic amounts of context when generating suggestions. For our coding assistant, this means Magic can now see your entire repository of code. Larger context windows can allow AI models to reference more explicit, factual information and their own action history. We hope to be able to utilize this research to improve reliability and coherence. -
6
Rev.ai
Rev.ai
Rev.ai was built by leading speech recognition experts from millions of hours of accurate human-transcribed content. We began in 2011 with Rev.com, providing human transcription services. We are now the world's largest transcription vendor, with over 35,000 contractors who transcribe millions of minutes of audio each month. In 2017 we launched Temi, an automated speech-to-text transcription and editing service. Temi has already transcribed 20 million minutes of content and was named the best transcription service by Wirecutter. Today our best-in-class speech engine is available to everyone as Rev.ai. We're helping companies get the most out of their audio and video content by making it searchable and accessible. -
7
AiVOOV
AiVOOV
AiVOOV is a hassle-free online tool that converts user input text into voice. Simply input your text or upload a file, select a language and click the Play button. AiVOOV is not restricted to the English language as it also supports numerous other local languages. You don't have to look for a separate tool to translate text into voices in different languages. We have designed the system to keep in mind, non-technical people. All functionality and user interface very easy to understand. We have a number of fantastic features in one place such as Text to speech, Audio to text, Generate SRT, Manage Projects, Merge Audio files, Background voice with fade in-out and loop. With all these features, we still go nice pocket for your work. We have several bundles depending on your usage needs.Starting Price: $7.92 per month -
8
Amazon Comprehend
Amazon
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. No machine learning experience required. There is a treasure trove of potential sitting in your unstructured data. Customer emails, support tickets, product reviews, social media, even advertising copy represents insights into customer sentiment that can be put to work for your business. The question is how to get at it? As it turns out, Machine learning is particularly good at accurately identifying specific items of interest inside vast swathes of text (such as finding company names in analyst reports), and can learn the sentiment hidden inside language (identifying negative reviews, or positive customer interactions with customer service agents), at almost limitless scale. Amazon Comprehend uses machine learning to help you uncover the insights and relationships in your unstructured data.
