Granola vs Tana

Granola and Tana are both meeting assistants tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Granola

Granola sidesteps that friction entirely by running locally on your Mac, Windows, or iOS device, capturing audio through the system rather than injecting a bot into the call. After the meeting ends, you trigger note enhancement manually — Granola structures what was said into summaries, action items, and searchable records without anyone on the other side knowing a transcript is being built. The workflow is fast for solo professionals and executives grinding through back-to-back calls. The ceiling appears when your team needs real-time collaboration, live transcription during the call, or CRM sync that isn't stitched together manually. Teams that hit that ceiling tend to move toward Fireflies or Otter, which offer in-call bot presence in exchange for the privacy trade-off.

Tana

The core workflow is: join a call, talk through the work, and let configured agents handle the artifacts. The vendor describes this as 'botless' — participants do not see a recording bot in the call, which removes the social friction that kills adoption on tools like Fireflies or Otter. Agents are configured by describing the workflow in plain language; Tana builds the skills from that description. Integrations cover GitHub, Jira, Linear, Slack, HubSpot, and Google Calendar, with Google Workspace and Microsoft 365 listed as coming. The compounding-knowledge claim — that every meeting feeds a shared context graph so agents never start blank — is the architectural bet that separates Tana from transcript-only tools, and also the one that requires organizational discipline to validate.

Attribute	Granola	Tana
Pricing	Paid	Paid
Price	$14/mo	$20/mo
Free trial	No	30 days
Open source	No	No
Has API	Yes	No
Self-hosted option	No	No
Platforms	Mac, Windows, iPhone	—
Released	2024-05	—
Pros	No bot joins the call, so confidential client conversations, investor meetings, and sensitive executive discussions proceed without a visible recording indicator changing the dynamic in the room. Post-call AI note enhancement structures raw audio into summaries and action items automatically, which means professionals running five or six meetings a day are not spending evenings reconstructing what was decided. Local audio capture at the system level rather than a third-party stream, so the privacy exposure that comes with a bot-based recorder is avoided by design rather than by policy. Shared folders and AI-powered search across meeting records, so a product or sales leader can surface decisions and context from past calls without asking someone to resend notes or dig through Slack. API and MCP access for teams that want to route structured meeting output into other tools — meaning Granola can act as a data source for downstream workflows rather than a dead-end repository.	Botless call presence — agents operate inside the meeting without a visible recording bot joining the call — so participants do not self-censor and adoption friction drops compared to tools that announce themselves to every attendee. Plain-language agent configuration, so an operations lead can describe a workflow in prose and get a working agent without writing code or hiring someone who can. Bidirectional integrations with Jira, Linear, GitHub, Slack, and HubSpot, which means issues and tasks land in the tracker where engineers actually work rather than sitting in a meeting notes doc nobody revisits. Compounding knowledge graph across meetings, so agents preparing for next week's all-hands pull last week's committed decisions rather than asking someone to re-summarize what was covered. LLM-agnostic architecture, so switching inference providers when cost or capability shifts does not require rebuilding the agent configuration.
Cons	There is no live transcription during the call. If your use case requires seeing what is being said in real time — for accessibility, live note-taking by a second participant, or in-call coaching prompts — Granola's post-hoc model does not solve that problem, and teams with those requirements move to Fireflies or Otter instead. CRM logging is not automatic. Sales teams that need customer conversation records to appear in Salesforce or HubSpot without a manual step are maintaining a copy-paste process or building their own API integration, at which point the time savings from automated note-taking shrink significantly. No self-hosted option exists. Organizations under data residency or regulatory constraints that prohibit cloud processing of meeting audio cannot deploy Granola without validating the vendor's data handling architecture first — and some will not clear that bar regardless of the answer. The tool is Mac, Windows, and iOS only. Teams with Linux users or Android-primary workflows hit a hard wall: those participants cannot run the local client, which breaks the privacy model for any call where the Linux or Android user is the one who needs the notes.	Google Workspace and Microsoft 365 integrations are not available; the vendor lists both as coming with an ETA of Q3 2026. Teams whose calendar, docs, and email live in either ecosystem hit a hard wall on the integrations that would make artifact routing automatic — they bridge the gap manually or wait. Agent quality is a direct function of workflow description quality. Teams that invest time in configuring skills precisely get specific, routable outputs; teams that do not get a well-organized transcript at best. There is no default agent behavior sophisticated enough to substitute for deliberate setup, which means the first two weeks look more expensive than a transcript-only tool. The knowledge graph compounds only if meetings happen consistently inside the platform. A team that routes some standups through Tana and others through a separate recorder ends up with a fragmented context store — agents surface incomplete histories and the compounding-intelligence premise breaks down. Teams that hit this fragmentation typically either mandate full migration or abandon the graph-based features and use Tana as a transcript tool, at which point the cost-to-value comparison against simpler alternatives shifts unfavorably.

Bottom line

Only Granola exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Granola and Tana?

Granola is Paid, while Tana is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Granola better than Tana?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.

Granola vs Tana: which should I pick?

Pick Granola if its pricing model, openness, or platform fit matches your constraints; pick Tana otherwise. Check free-trial availability on each listing if you want to test before committing.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.