Banafo Speech to text API is now available for your own solutions.
Already familiar with the power of Banafo and what it can do? You are recording your meetings, getting auto generated transcripts for your conversations and taking advantage of the Banafo browser extension to record your work related meetings via Zoom, Teams, Meet?
Now, you can use the power of our language models for some of the most budget friendly solutions out there!
Banafo web extension makes your work quicker with even more advanced features.
Now including a new toggle option to make anyone’s work even faster and easier – auto recording.
Enable the option via the extension menu for all whitelisted websites that you visit frequently. All your web meetings will be recorded automatically when they start.
You do not have to do a manual click to start a recording. It all happens automatically and your meeting is recorded and uploaded to your Banafo account, where our advanced ML speech-to-text algorithms take care of business and provide you with a transcript of your conversations.
You can get the newest version from here:
Everyone is used to search things across multiple entries of the same type – be it your email, phone call log, contacts, files and so on.
If your work relies in doing things quickly and efficiently, why waste time by manually looking for something that you can just type in an input field and get instant results for?
Banafo is a powerful web platform that combines all your web meeting conversations in once place. Business meetings over Zoom, Google Meet, Microsoft Teams, Dialpad are recorded and uploaded to your Banafo account.
A transcript is auto generated for each of your recordings and all of this information is neatly organized in Conversations that you can access and manage through the Banafo dashboard.
An overview of the opensource speech to text frameworks and toolkits available in 2022. Where to get them, how hard are they to use and what languages do they support out of the box.
We at Banafo are constantly trying newer and better approaches for the automatic speech recognition, a crucial component in providing our users with the highest quality transcripts on the market.
The frameworks in this article are all tools we use or used, they mostly build on top of Pytorch or Arrayfire, this article is just a small overview of the pro’s and con’s, more detailed instructions on how to set configure or use them will be provided in future articles.