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AI-Powered ISO 27001 Compliant Notes App
Secure AI-Powered ISO 27001 Compliant Notes Storage App

Trusted by Millions Worldwide
4.4
2,100+ reviews on G2
4.4
8,200+ reviews on Capterra
4.4
73,000+ reviews on App Store
248M
Registered Users
5B
Notes Created
2M
Notes Created Daily
Frequently Asked Questions
This app is an AI-powered platform designed for managing notes securely and in compliance with ISO 27001 standards, ensuring safe document storage.
ISO 27001 compliance ensures a high standard of data protection and security measures for managing sensitive information efficiently.
AI enhances the app by automating note organization, allowing for efficient retrieval, and maintaining the integrity of stored documents.
Yes, the app supports text notes and can handle various file types, offering versatile document storage management.
Yes, the app is ISO 27001 compliant, ensuring industry-standard security practices are applied to protect your data.
Access is simple and can be done through any modern web browser, allowing you to manage your notes on multiple devices.
AI offers automated transcription of files, efficient summarization of content, and accurate rewording, making note management simple and effective.
Direct editing within the app isn't possible, but you can easily download, modify using external tools, and re-upload your documents.
The app supports files up to 100 MB. Larger files should be divided for uploading.
Yes, the app can transcribe audio notes from various formats, allowing for easy management and retrieval of audio information.
Audio files can be up to 60 minutes each. Longer files may need segmentation before uploading.
While you can organize notes, creating custom storage settings isn't supported, maintaining simplicity and compliance.
Yes, for processed inputs, certain tasks require minimum lengths; 300 characters for summarization and email creation.
No, the app requires an internet connection to function, ensuring real-time processing and security checks.
The app offers several rewording styles such as Formal, Friendly, and HumanLike for adjusted or varied outputs.