Our package management software uses machine vision and AI to automate your mailroom and front desk operations. PackageX Receive is easy to use, highly scalable, and works across industries, including:
Simply snap a photo of any package or delivery label (even handwritten! βοΈ), and our package management software will: π Automatically extract all relevant information, π Match deliveries to the correct recipients, π Manage notifications, π Send alerts and reminders to all recipients, π Collect proof of pickups, and π Keep track of every item that enters and leaves your mailroom
π Trusted by smart teams at WeWork, DelVal, and more in 210+ cities worldwide π 100% powered by the cloud. No specialized hardware needed! π Scan packages and notify recipients with the click of a single button π Painless inbound and outbound package tracking π Quick and powerful search: search by carrier, retailer, sender, sender address, or recipient π Users can assign a designated pickup person to collect all of their business's packages π Real-time data and insightful analytics for smarter mailroom operation management π Custom branding features to personalize email communication π Access to our "Virtual Mailroom" features. Convenient call to action buttons within your notification emails.
Based on our record, Microsoft Translator seems to be more popular. It has been mentiond 8 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.
Do you have access to Microsoft products? They have an appthat students can add to a device that will translate your spoken words into text (you have to have the app or website open as well). There are several other Microsoft translation tools that would also work in different ways, which you may be able to use without a Microsoft license. Googleβs translation tools are not as well integrated. Source: over 1 year ago
Translator.microsoft.com works fine in a web browser - and all I have gotten is positive feedback from my colleagues in UA about the quality/accuracy of the translations. Source: over 1 year ago
Iirc Microsoft, Apple, and Google are working on this with the help of AI. We are playing around with the Microsoft Neural Machine Translator at work to assist with translation for non-English speaking patients. https://translator.microsoft.com. Source: almost 2 years ago
It is very interesting to understand how Machine Translation engines work such as Masakhane translate, Google translate, Amazon, Microsoft Translator, etc. - Source: dev.to / about 2 years ago
For anyone who does not know the language and is looking for an effective way to bridge the language gap: I have been using https://translator.microsoft.com/ and it has been very useful. Source: about 2 years ago
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