Sold by: Techlatest.net
Deployed on AWS
Create podcasts from your notes, PDFs, and research using AI-while keeping full control of your data.
Overview
Important: For step by step guide on how to setup this vm , please refer to our Getting Started guide
Open Notebook is an AI-powered, privacy-first research tool that transforms your content into engaging podcasts in seconds.
Upload notes, PDFs, or links, and instantly generate audio conversations that help you learn on the go. It's like turning your knowledge into a personalized podcast feed.
Beyond podcasting, Open Notebook also lets you chat with your content, extract insights, and organize everything into smart notebooks-while staying fully in control with self-hosted or flexible AI model options.
Perfect for learners, researchers, and creators who want to consume knowledge faster and more naturally.
Why Use It
- Turn passive notes into active, listenable content
- Create an internal knowledge base for personal and team/organization use
- Keep your data private and under your control
- Cost-effective: No surprise AI API usage bills with local LLM support
Key Features
- Podcast Generator - Convert notes into AI-generated podcast-style audio
- Browser-Based Access - Access from any device via web browser, no local installation required
- Chat with Your Content - Ask questions and get instant insights
- Multi-Source Input - PDFs, links, text, and more
- Privacy-First - Self-hosted & model-flexible
- Smart Search - Find insights instantly across notebooks
Use Cases
Podcast Creation
- Convert your knowledge base into engaging podcasts or audio format
Research & Knowledge Management
- Organize papers, notes, and insights in one place
- Summarize large documents and extract key ideas
Private Team Knowledge Base
- Share internal documentation securely
- Keep sensitive data within your own infrastructure
Cost-Controlled AI Usage
- Avoid recurring API costs by using local models
- Use paid APIs only when higher performance is required
Startup & MVP Development
- Quickly build and test AI-powered products
- Use as a backend knowledge engine for prototypes
Disclaimer Other trademarks and trade names may be used in this document to refer to either the entities claiming the marks and/or names or their products and are the property of their respective owners. We disclaim proprietary interest in the marks and names of others.
Highlights
- Turn your notes into podcasts with AI
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
t2.xlarge Recommended | $0.13 |
r8id.12xlarge | $0.13 |
r7i.48xlarge | $0.13 |
m6id.8xlarge | $0.13 |
m5.4xlarge | $0.13 |
r8a.metal-48xl | $0.13 |
x2iezn.2xlarge | $0.13 |
m6a.metal | $0.13 |
m6id.large | $0.13 |
r6i.16xlarge | $0.13 |
Dimensions summary
You pay by the hour for the software running on an AWS EC2 instance. The many options here are not feature tiers. Each one maps to a specific EC2 instance type, which sets the compute power, memory, and hardware behind the software. Larger instance sizes carry higher hourly rates because they provide more vCPUs and RAM. You pick the instance that fits your workload. The setup defaults to a t2.xlarge instance with 4 vCPUs and 16 GB RAM. Billing runs only while the instance is active, so cost scales with your usage.
Top-of-mind questions for buyers
Each unit is one running AWS EC2 instance charged per hour. You choose which instance type to run, setting the vCPUs and memory behind the software. The default is a t2.xlarge with 4 vCPUs and 16 GB RAM. You can pick a larger or smaller instance type at launch.
Hourly software charges apply only while the instance runs. A stopped instance does not accrue software charges. Underlying AWS storage fees may still apply to a stopped instance, but the software meters running time only. Cost scales with active hours, so shutting down when idle lowers your bill.
The tool ships with a local model setup, so you can run models on the instance without recurring external API charges. You pay only the hourly instance rate for that usage. If you connect paid third-party model providers instead, those providers bill you separately, outside this listing.
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Vendor refund policy
Will be charged for usage, can be canceled anytime and usage fee is non refundable.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
first release
Additional details
Usage instructions
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On the EC2 Console page, instance is up and running. To connect to this instance through putty, copy the IPv4 Public IP Address (refer Putty Guide available at https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/connect-linux-inst-from-windows.html for details on how to connect using putty/ssh)
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Open putty, paste the IP address and browse your private key you downloaded while deploying the VM, by going to SSH->Auth, click on Open
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login as ubuntu.
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run below command to set the ubuntu user password.
sudo passwd ubuntu
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Now the password for ubuntu user is set, you can connect to the VM's desktop environment from any local Windows Machine using RDP protocol or Linux Machine using Remmina.
From your local windows machine, goto "start" menu, in the search box type and select "Remote desktop connection". In the "Remote Desktop connection" wizard, copy the public IP address and click connect
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This will connect you to the VM's desktop environment. Provide the username "ubuntu" and the password set in the above "Reset password" step to authenticate. Click OK
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Now you are connected to the VM's desktop environment via Windows Machine.
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The vm will generate a random password to login to Open Notebook Web Interface. To get the password run below command from ssh terminal
cat /home/ubuntu/open-notebook-local/open_notebook_credentials.txt
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Now copy paste the public Ip of the VM in your local browser as https://public_ip_of_vm. Please make sure to use HTTPS and not HTTP. Provide the password you received in above step and login to the web interface.
For more details please visit - https://www.techlatest.net/support/open_notebook_support/aws_gettingstartedguide/index.html
Support
Vendor support
Email: info@techlatest.net
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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