The Phrase Localization Platform is a unique, AI-powered language platform that integrates translation, scoring, and automation tools in one place for businesses and language service providers. It offers scalability, a vendor-neutral approach, and advanced analytics for performance optimization. Ready-to-use with access to all of its key products, it facilitates easy start-up and rapid scaling.
With single sign-on (SSO) and an intuitive interface, Phrase provides a user-friendly, centralized ecosystem. The Phrase Localization Platform includes:
Phrase Translation Management System (Phrase TMS) Translation project management with industry-grade CAT tools
Phrase Strings Developer-friendly tool for software, games, and website copy localization
Phrase Orchestrator No-code, customizable workflows that automate your manual processes
Phrase Analytics Insightful data to optimize your cost, quality, and speed
Phrase Language AI Fast and secure machine translation tailored to your terminology
Phrase Custom AI AI powered machine translation, leveraging your own content
Phrase Portal Secure, immediate, and intuitive access to advanced localization technology
Phrase Quality Technologies Scores and checks to guarantee your content consistently meets quality standards
Integrations 50+ integrations with plug-and-play approach for rapid deployment
Otter.ai uses an AI Meeting Assistant to transcribe meetings in real time, record audio, capture slides, extract action items, and generate an AI meeting summary.
Based on our record, Phrase should be more popular than Otter.ai. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
According to this article from Phrase, software localization is a process in software development that aims to adapt a web or mobile app to the culture and language of users in a target market. - Source: dev.to / 4 months ago
There are also backends / SaaS tools that offers some of the management for the translations, for example: https://phrase.com/ or https://locize.com/. Source: over 2 years ago
I’ve used https://phrase.com/. Was cool because it offered a nice API for automation of downloading translation updates. Source: over 2 years ago
You can give a try to formatjs that now includes react-intl or react-intl-universal by Alibaba. If you are looking for a ready to be consumed solution instead, I would suggest phrase.com. Source: about 3 years ago
Some good transcription solutions: https://zapier.com/blog/best-text-dictation-software/#windowsspeech https://otter.ai/ (Haven't actually tried Otter, but it gets a LOT of good reviews.). - Source: Hacker News / 8 days ago
Of course, there are many existing solutions like Otter.ai or Fathom in the market. But in case you want to build a tool yourself and customize the output of it, then you are on the same page as me. To develop this application, we will use Unbody to convert input video transcriptions into intelligence/generative content and Appsmith to make it easy to design and build the UI of our app without extensive front-end... - Source: dev.to / 6 months ago
This is weird but I wonder if you could use something like https://otter.ai/. Record your notes as you are going. That should give you at least text of all of your welds. You’d still have to punch it later. Seems like there’s got to be a better way to do this. Stopping every time to break your flow sounds like a huge pain in the ass. Curious what you come up with. Source: 6 months ago
Is there any app from otter.ai that you run on personal machine? How does otter.ai process 4 different audio streams? Source: 6 months ago
Job laptop -> 3.5mm aux (this turns into speaker output) -> 3.5mm mic/audio splitter (this turns into microphone input) -> 3.5mm to usb-c adapter (cause my macbook only has 1 3.5mm aux) --> now the personal macbook has a new "mic input" from the job laptop. Which you can use to pipe audio into otter.ai to transcribe audio. You have to manually name them, but they learn in subsequent meetings. Source: 6 months ago
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