Omnisearch
What is Omnisearch?
Omnisearch is a groundbreaking search product that allows you to make all the content on your site searchable, including audio/video, text, documents, and presentations. It offers a seamless learning experience by improving user satisfaction and increasing revenue from your online courses.
How to use Omnisearch?
To use Omnisearch, simply install the application on your Thinkific courses and select the data you want to ingest. Next, Omnisearch will process and index the content. Once the content is indexed, you can search for specific terms and Omnisearch will show you where those terms exist in your content.
Omnisearch's Core Features
Searches all types of content, including audio/video, text, documents, and presentations
Supports various file types, such as PDFs, Word docs, images, audio files, and more
AI-powered machine learning technology for content extraction
Enables transcription of video recordings into subtitles
Seamless integration with Thinkific to make course content fully searchable
Quick and easy installation process
Supports multiple languages
Omnisearch's Use Cases
Improve user experience and satisfaction on online courses
Enhance search functionality for databases and educational centers
Enable quick navigation and keyword search within video content
Facilitate keyword and reference search within detailed documentation or course materials
FAQ from Omnisearch
What types of content can be searched using Omnisearch?
How long does it take to implement Omnisearch?
Can I transcribe video recordings into subtitles using Omnisearch?
What languages does Omnisearch support?
Can I make my course content fully searchable on Thinkific?
Omnisearch Support Email & Customer service contact & Refund contact etc.
More Contact, visit the contact us page(https://omnisearch.ai/contact-us)
Omnisearch Company
Omnisearch Company name: Stratosphere Technologies Inc. .
More about Omnisearch, Please visit the about us page(https://omnisearch.ai/about-us).
Omnisearch Pricing
Omnisearch Pricing Link: https://omnisearch.ai/pricing
Omnisearch Facebook
Omnisearch Facebook Link: https://www.facebook.com/omnisearchai/
Omnisearch Youtube
Omnisearch Youtube Link: https://www.youtube.com/@omnisearch1954
Omnisearch Linkedin
Omnisearch Linkedin Link: https://www.linkedin.com/company/omnisearch/?originalSubdomain=ca
Omnisearch Twitter
Omnisearch Twitter Link: https://twitter.com/WeAreOmnisearch
Omnisearch Reviews (0)
Analytic of Omnisearch
Omnisearch Website Traffic Analysis
Geography
Top 4 Regions
Omnisearch Launch embeds
Use website badges to drive support from your community for your Toolify Launch. They're easy to embed on your homepage or footer.
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Erik Banek talks Machine Learning, European vs. USA tech, and pursuing a freelance career in AI
Erik Banek, software engineer ex-Google ex-Microblink, talks about working in the United States and Europe at major tech companies, and starting off his career as a freelance Machine Learning Engineer focusing on the medical and e-commerce industries. Powered by omnisearch.ai
Tena Turčinović Barukčić empowers her marketing team with AI with these top tips
Tena Turčinović Barukčić shares her experiences leading marketing teams and projects in Croatia, and how she incorporates AI in her daily workflow to build a stronger team. Check out the blog on https://omnisearch.ai/blog/empower-your-marketing-with-ai with more tips and tricks.
E44: Omnisearch: Building the Future of Search and More
In this episode, Marin Smiljanic, the CEO and co-founder of Omnisearch, discusses his vision of revolutionizing search beyond text-based engines, including audio, video, and documents. The conversation covers the evolution of Amazon, the future of search engines, and challenges in the Chinese tech scene. The episode also delves into theoretical discussions within the Matrix prequel, exploring robot rights movements, human control, and Omnisearch's journey in the B2B space. Marin Smiljanic is the Co-Founder and CEO of Omnisearch, leading a dynamic career in technology and entrepreneurship. With experiences ranging from being a Software Development Engineer at Amazon, where he contributed to projects like Alexa's email feature, to founding QuickNews and QN Technologies, Marin's journey reflects his commitment to innovation and software engineering expertise. Here are a few of the topics we’ll discuss on this episode of Cache Flow: - Unlike other search vendors, Omnisearch aims to provide a holistic solution, allowing customers to handle all their search needs in one place. - S3's underlying architecture from 2006 is still largely in place today. - Move fast and break things was retired at Facebook, and replaced with move fast and ship working software. - B2B vs B2C: B2B products can have bigger success if tailored to customer needs. - WeChat's success in China might be due to centralized data tracking instead of separate companies. - The concept of consciousness in technology is complex and debatable. - The robots turn to harvesting humans for energy, setting the stage for the Matrix movie. Resources: Omnisearch - https://omnisearch.ai/ QN Technologies - www.quicknews.ai Curotec – https://www.curotec.com/ Algolia - https://www.algolia.com/ WeChat - https://www.wechat.com/es/ Elastic - https://www.elastic.co/es/ Connect with Marin Smiljanic: LinkedIn - https://www.linkedin.com/in/marin-smiljanic/ Connect with our host, Brian Dainis: Linktree – https://linktr.ee/cacheflow Quotables: 14:05 - “I would say that what is good there, and that's kind of an extreme case of what you'll sometimes see in big tech, is you really get to witness a masterclass of distributed systems, scalability, all these, important concepts that back when we were taking distributed systems in college, the examples there would've been like, simple client-server architectures or something that at most had a couple of machines, then you go to S3 and that's like hundreds of thousands of machines. So definitely your intuitions about this, your ways of reasoning about systems. They change very fundamentally, in ways that you couldn't do in smaller companies.” 15:18 - “The downside of S3, you alluded to this, it's a very mature product, which means there's no cowboy-ish approach. There's no major incentive, I would even say to ship it super fast. Rather, it's like, don't break first order of business, don't break things. So that can be a little bit frustrating when you're a young eager beaver and want to ship things, get things into production as soon as you can. And then it's like, ah, but did you think of this angle? And then you have got to think about that angle. So it, it helps with discipline, but maybe it's not the most exciting part.” 57:27 - “So getting the lead to the CEO and then the CEO getting that customer to sign up and the CEO's onboarding that customer. That's like, I think in early days, like when the CEO, the Founder, when it's like a five-person team or a two-person team or whatever. That's, I think, the way that it needs to be done. So that you can actually get that real-time feedback from customers like, oh, this feature doesn't work, or I hate this or I need this. And that's like, if you start to see a theme emerge from first customer, second customer, third customer saying the same things and it's obvious that you need to fix that because you're talking to them and they're giving you that info, but the feedback cycle might be like so much longer or not even there if you're trying to do PLG too early.” 26:38 - “I'm involved in another company that did that just like did an acquisition and they acquired asset was monetized on ads. But the way that the company's going to monetize that asset is through like a B2B sales channel, not ads, but selling… Basically like a data product and the monetization is 100x or it's more than 10x. The traffic is monetized. It might not be 100x, but it's like more than 10x for sure.”
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