The first project, Speak, is a broad collection of AI tools for capturing and processing unstructured language data. It can convert audio and video into text, transcribe in more than 70 languages, and analyze sentiment. It can also be integrated with tools like Zoom and Microsoft Teams, and is good for market researchers, qualitative researchers and digital marketers.
Another good tool is User Evaluation, an AI-based system to speed up customer research and product development. It can accept input data from audio, video and text, and has good transcription abilities and AI-based analysis. It's good for researchers, product managers and anyone else doing customer research and trying to improve UX.
For a project that's flexible and highly customizable, check out Label Studio. It can accept a variety of data types, including images, audio, text and video, and is designed to create training data for AI models. It has customizable layouts, cloud storage integration and support for multiple projects and users, so it's a good option for data scientists and companies of all sizes.
Last, ChatDox is an AI-based information retrieval system that lets you extract information from a wide variety of sources, including PDFs, DOCX files, YouTube videos and audio files. With its multilingual support and customizable categories, ChatDox is good for students, researchers, teachers, lawyers and others who need to process and analyze lots of different data types.