QUAY
Quay is the DAM (Digital Asset Management) system that automates the management of newspaper files: it quickly stores, organizes, finds and shares digital assets throughout the newsroom.
Quay is the AI-powered DAM system designed to facilitate the management of digital newspaper files. Newsrooms work daily with a large number of files, which is a challenge for documentation managers. Our file manager automatically classifies each document with great precision and allows the location of files in seconds with our fast search engines.
What can Quay do for your organization?
Quay is the DAM system with AI-based auto-cataloging. This system generates meta tags automatically for each document, which saves time and is very useful for documentation managers.
Thanks to OCR technology, our Quay can identify the text that appears in any image or video. Then, it is automatically indexed to facilitate its subsequent search.
With Quay's search features, find what you need in seconds. Forget about traditional folder structures, file paths, and document names. They are not required in this advanced DAM system.
Any journalist can automatically transcribe audio and video files to text with a coherent and orderly structure (no plain text), all in a matter of seconds. This feature is very useful for interviews or press conferences.
Thanks to NLP and NLG Semantic Intelligence, it is possible to extract metadata and key contents from each document, as well as an automated and accurate classification based on this information.
This technology can recognize and archive photographs or videos based on the faces or logos they contain. In addition, it generates meta tags to automatically archive and easily locate similar images.
Benefits of Quay
Quay's AI can automatically label and classify all types of documents based on their content. In addition, it offers video and speech-to-text transcription and recognizes texts, faces and logos in images and videos.
Quay is a robust system designed for high-volume files and large media teams. It is a DAM suitable for managing all types of documentary files, with no storage limits.
The platform allows different users profiles, so their access to information may change. The privacy of the information and the actions they can take is also limited. In addition, the assignment of tasks and files can be automated based on permissions.
Its API allows integration with any CMS. It can also be connected to external video repositories such as YouTube, DailyMotion and Vimeo. In addition, it indexes information from office documents and can be connected to the AI functions of AWS, Microsoft Azure, Google Cloud and OpenAI.
A document export flow can be defined to be distributed to other channels.
Quay is a robust DAM system designed for high-volume files, but if you're a publisher with a team of 3-40 users, the Media Cloud DAM version is for you. In addition to a training plan, we offer you personalized assistance 24/7.
Main features
Simple and powerful cataloging
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AI-based auto-cataloging: Quay has AI for automated categorization, improving efficiency and accuracy in the organization of content.
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Time optimization: Streamlines documentation workflows, reducing manual efforts and saving valuable time in asset management and localization.
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Automatic generation of meta tags: Instantly generates metadata tags, simplifying the indexing of documents and facilitating quick retrieval and organization.
OCR, Optical Character Recognition
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Identify key information in images or videos: Our DAM system detects and extracts crucial data from images and videos for a thorough analysis of the content.
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Text recognition in images and video: Quay uses optical character recognition to extract and interpret text from visual content, improving search and accessibility.
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Automatic text indexing: Automatically indexes extracted text, allowing for quick retrieval and organization based on recognized content and time codes. With the help of Artificial Intelligence, subtitles can be generated in other languages.
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Automatic organization of documents: Automate the classification and categorization of documents, improving the efficiency in the management of various content libraries.
Variety, speed and simplicity in searches
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Locate what you need in seconds: It allows quick recovery through an intuitive search, guaranteeing quick access to the desired information in a matter of seconds.
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Elimination of folder systems: Facilitates streamlined access without relying on traditional folder structures, optimizing content recovery and management.
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Forget paths and file names: Quay works regardless of paths or file names, and relies on advanced indexing to retrieve content effortlessly and accurately.
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Variety of searches: The DAM system offers advanced searches by type of content, tolerates typographical errors, and allows simultaneous searches on the Internet, in Natural Language, with personalized settings and it can share results with other users.
Voice to text
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Transcribe Audio and Video Files to Text: Transform audio and video files to text accurately and clearly, using a transcript to improve accessibility and searchability. In addition, thanks to Artificial Intelligence, it can be formatted for a more agile reading.
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Live and scheduled transcription: Convert live streams to real-time text or schedule them in advance for greater convenience and accuracy.
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It automatically archives the key information of each document: Our DAM system automates the registration of crucial data of the documents, guaranteeing an efficient storage and retrieval of the essential information.
Semantic intelligence: NLP and NLG
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Key content and metadata recognition: Identifies and interprets the relevant content and metadata, allowing an effective organization and a fast localizatioxn of the documents.
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Automated classification: Automated classification streamlines the categorization of information content, optimizing publishing workflows for quick access and management of various multimedia assets.
Computer Vision
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It recognizes faces and logos in images and videos: Quay uses advanced recognition to identify faces and logos, enriching the assets with contextual visual references. In addition, it allows you to extract clips from the videos for later use, even adding a watermark, a bug (logo) or start and end curtains.
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Automatic extraction of key information: efficiently extracts essential data for the media, accelerating the recovery of information and improving content analysis.
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Automatic generation of meta tags for archiving: Create metadata tags for complete content archiving, optimizing organization and recovery within the DAM system.
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Search for similar images or content: Perform quick searches to locate visual or contextually similar content, helping in the comprehensive development of stories and adjusting those that can be used in publications.
