| Feature | Granola | Make |
|---|---|---|
| Free Plan | ✓ Yes | ✓ Yes |
| Pricing | Free / $18/mo | Free / $9–$29/mo |
| Rating | ★★★★★ 4.8 | ★★★★★ 4.6 |
| Key Feature 1 | Bot-free capture | Visual workflow builder |
| Key Feature 2 | Jottings enhancement | 1,500+ app connectors |
| Key Feature 3 | Any platform | Error handling |
Reach buyers comparing Granola and Make. High-intent traffic, direct conversions.
Granola edges out Make on user ratings (4.8 vs 4.6 out of 5), though both remain solid choices depending on your priorities. Both Granola and Make offer free plans, so you can test both before committing. Granola tends to be favoured by enterprises and researchers, while Make is more popular with agencies and programmers.
Granola and Make are two vastly different tools that cater to unique needs. Granola excels in providing AI-enhanced meeting notes for Mac users, allowing them to capture personal notes and meeting audio separately, then combining them with AI to produce a structured summary. This is particularly useful for individuals who want to keep their meeting notes private and don't want to add a bot to their calls. On the other hand, Make is a visual automation platform that connects over 1,800 apps through a drag-and-drop scenario builder, making it ideal for technical users and developers who need complex automation with branching logic and data transformation.
In a head-to-head comparison, Granola's local capture approach gives it an edge in terms of privacy and ease of use, whereas Make's visual workflow builder and data transformation capabilities make it more powerful for automating complex tasks. For instance, if you're a sales team that wants to automate CRM updates and invoice processing, Make is the clear winner. However, if you're an individual who wants to take personal meeting notes with AI enhancement without adding a bot to your calls, Granola is the better choice.
Ultimately, the choice between Granola and Make depends on your specific use case. If you're looking for a tool to streamline your meeting notes and summary process, Granola is the way to go. But if you're looking for a tool to automate complex tasks and workflows, Make is the superior choice. It's worth noting that Make's steeper learning curve and complex UI may be a barrier for some users, whereas Granola's simplicity and ease of use make it more accessible to a wider range of users.
Choose Granola if you're a Mac user who wants to take personal meeting notes with AI enhancement without adding a bot to your calls, or if you need to keep your meeting notes private and localized. Additionally, Granola is ideal for individuals who want to get structured AI summaries from their own meeting notes and audio, or for those who want to use a tool that works with any meeting app without integration.
Choose Make if you're a technical user, developer, or operations team that needs complex automation with branching logic and data transformation. Make is also suitable for individuals who want to build complex multi-branch automation with conditional logic, transform and map data between apps with custom formulas, or automate CRM updates, invoice processing, and operational workflows.
In terms of real-world performance, Granola delivers on its promise of providing high-quality, AI-enhanced meeting notes with minimal effort required from the user. The tool's local capture approach ensures that meeting notes and audio are processed quickly and efficiently, without any noticeable lag or delays. On the other hand, Make's performance is highly dependent on the complexity of the automation workflow and the number of integrations involved. While Make's visual workflow builder is incredibly powerful, it can be slow and cumbersome to use, especially for large and intricate workflows.
Despite these limitations, Make's output quality is generally high, with accurate and consistent results that meet the user's expectations. However, the tool's steeper learning curve and complex UI may require a significant investment of time and effort to master, especially for non-technical users. In contrast, Granola's simplicity and ease of use make it accessible to a wider range of users, with minimal learning curve and setup required.
Both Granola and Make offer competitive pricing plans that cater to different needs and budgets. Granola's free plan is generous, allowing users to capture and summarize meeting notes with AI enhancement, while the Pro plan offers additional features and support for $10/month. Make's pricing plans, on the other hand, range from $9/month to $29/month, with a free plan that allows users to test the tool's capabilities before committing to a paid plan. In terms of value for money, Granola's Pro plan offers excellent value, especially for individuals who want to streamline their meeting notes and summary process.
🚀 Ready to decide? Try both free and see which fits your workflow.
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Granola is a macOS AI notepad that runs in the background during meetings — capturing your personal notes and the meeting audio separately, … Read the full Granola review →
Make (formerly Integromat) is a visual automation platform connecting 1,800+ apps through a drag-and-drop scenario builder. Unlike Zapier's … Read the full Make review →
• Invisible to other meeting participants
• Works with any meeting app without integration
• Jottings + AI hybrid produces great notes
• Very low friction to set up
• Mac only — no Windows or mobile app
• Requires microphone and system audio access
• More powerful than Zapier — especially for visual workflow builder workflows where Make consistently outperforms manual approaches
• Practical free tier that lets you validate the tool before committing to paid plans
• Highly customizable and flexible, allowing users to create complex automations tailored to their specific needs
• Cost-effective for high-volume automations, with a pricing model based on operations rather than tasks
• Steeper learning curve — worth evaluating before committing if this is central to your use case
• UI can be complex — worth evaluating before committing if this is central to your use case