Machine Learning / AI

Yeastar Banafo Integration: Automatically Transcribe PBX Calls with AI Insights

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Yeastar Banafo Integration: Automatically Transcribe PBX Calls with AI Insights If you use a Yeastar PBX system, we have great news: you can now take full advantage of the new Yeastar Banafo integration to simplify your call management and unlock powerful AI features. This new integration enables you to automatically send your Yeastar call recordings … Read more

New: Export Multiple Calls with AI Insights in CSV Format

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📦 Export Multiple Calls with AI Insights – Now Available for PRO Users 📊 Streamline Your Analysis with Bulk Call Export We’re excited to announce a powerful new tool for Banafo PRO users: the ability to export multiple calls in CSV format, complete with AI-generated insights, categories, and key metadata. Whether you’re managing customer feedback, … Read more

New AI Call Compliance Check Feature Now Available on Banafo

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💡 What Is the AI Call Compliance Check? We’re excited to introduce the AI Call Compliance Check, a powerful new feature on your Banafo dashboard designed to help you automate call compliance and quality assurance. With this new tool, you can define a custom list of steps that every call should follow. Banafo’s AI engine … Read more

New Banafo for Android: Smarter, Sleeker, and Packed with AI Power

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We’re thrilled to announce the latest version of Banafo for Android is now live — and it’s our smartest update yet. Our new Banafo app for Android lets you record audio, upload audio files, and get instant transcripts powered by advanced large language models (LLMs). Whether you’re capturing ideas on the go or reviewing meetings, … Read more

Introducing AI Insights: Automatically Identify Key Details in Conversations

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We’re making it easier than ever to capture important details from your conversations with our new Entities Extraction feature. This AI-powered tool automatically identifies and extracts key information—such as emails, names, company names, addresses, phone numbers, and dates—directly from call transcripts. These Insights are then displayed in the Details section of each Conversation, ensuring quick … Read more

Introducing Tags: Smarter Call Management with AI

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Managing conversations efficiently is key to understanding customer needs and improving team productivity. That’s why we’re introducing Tags, our new AI-powered Conversation Classification feature. Tags automatically apply predefined labels to calls using auto-generated transcripts, making it easier to categorize conversations, track trends, and prioritize actions. To ensure flexibility, Tags can also be customized—allowing businesses to … Read more

Accurate Interview Transcripts for Journalists

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From Monotonous manual work to Swift AI:

Revamping Interview Transcripts with Banafo Speech To Text

Interview Transcripts

In the evolving landscape of digital journalism, ensuring the accurate and swift dissemination of information is pivotal. Journalists, ever at the forefront, have traditionally relied on firsthand interviews to foster a well-rounded understanding of current affairs. The journey from conducting interviews to penning down insightful articles, however, has often been laden with mundane tasks that can now be effortlessly automated using AI-powered tools like Banafo.

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Speech to text API – the #1 budget transcript generating solution

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Banafo speech to text API

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!

TRY IT NOW

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Annoyingly tedious Speech To Text inference Steps

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Did you ever wonder what it takes to produce the Banafo Offline Speech to Text Transcripts ?

This is how we do it behind the scenes:

source: https://en.wikipedia.org/wiki/Infinite_monkey_theorem#/media/File:Chimpanzee_seated_at_typewriter.jpg

While the results for English were pretty good, we were unable to keep up training the monkeys for other languages so here is how we do it nowadays (please note that we omit some proprietary parts that we consider our trade secrets 😉

Way too many parts are needed and as the experience tells us, when you try it with enough voices, accents, compression formats something eventually will go wrong in every single one of them.

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