Granola vs Scribe

Granola and Scribe are both productivity 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.

Scribe

The pipeline runs in three stages — capture from git repos, Claude Code/Codex sessions, iMessage-dropped URLs, and drop files; triage via keyword-density scoring before any LLM call touches the input; then compile into a typed-graph wiki of plain markdown with auto-generated wikilinks and backlinks. FTS5 pre-filtering means sessions with nothing worth keeping cost zero API tokens. The vendor states the full pipeline runs against a local Ollama server with one line changed in scribe.yaml, eliminating API spend entirely. Where it strains: the system is only as useful as the agent's ability to query the KB — if your agent doesn't read CLAUDE.md or AGENTS.md on startup, the handshake Scribe writes is ignored. Teams adopting this commit to a local-first, terminal-native workflow; there is no hosted dashboard or GUI to inspect what Scribe wrote.

Attribute	Granola	Scribe
Pricing	Paid	Free
Price	$14/mo	—
Free trial	No	No
Open source	No	Yes
Has API	Yes	No
Self-hosted option	No	Yes
Platforms	Mac, Windows, iPhone	macOS, Linux (Go binary)
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.	FTS5 pre-filtering rejects low-value sessions before any LLM call, so zero-insight sessions cost zero tokens — which means running the pipeline daily against a local Ollama server produces no API bill and no noise in the output corpus. The CLAUDE.md and AGENTS.md handshake injection means every new agent session in every project queries prior decisions automatically, so agents stop proposing the library you already evaluated and rejected two projects ago. A typed 10-kind edge schema (supersedes, contradicts, derived_from, and others) connects articles relationally, so the KB captures decision lineage rather than just a flat pile of notes that have no memory of which choice replaced which. One flag in scribe.yaml switches the entire pipeline to a local Ollama server, which means you can run extraction, absorb, and Dream consolidation with zero external API dependency and no data leaving your machine. Output is plain markdown in a git repo you control, so the corpus survives any change to Scribe itself — open it in Obsidian, VS Code, or vim, push it to Gitea or Forgejo, and no vendor has leverage over your data.
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.	The handshake only works if the agent reads CLAUDE.md or AGENTS.md at session start — agents or wrappers that skip that file ignore every decision Scribe wrote, and there is no fallback mechanism to force context injection, so teams with non-standard agent setups get no benefit from the KB without manual wiring. Scribe is a single-developer local tool with no multi-user access model: one machine, one corpus, one git repo. Teams of two or more who need shared architectural memory hit this wall immediately and end up running separate personal instances while syncing decisions by hand — at which point they are maintaining the problem Scribe was supposed to solve. The Dream consolidation cycle runs on a fixed cron schedule (weekly, Sundays at 02:00 per the docs), so a decision made Monday that contradicts a decision made Friday won't be cross-linked until the next consolidation window — teams working fast on interrelated projects find the KB is always one cycle behind the work. There is no GUI, no hosted dashboard, and no search UI outside the terminal qmd command or Claude Code's MCP integration — teams whose product managers or non-engineering stakeholders need to read the KB have no access path without standing up a separate rendering layer like mdbook or Obsidian.

Bottom line

Granola is paid while Scribe is free; Scribe is open source; 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 Scribe?

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

Is Granola better than Scribe?

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.