Digger Solo vs Granite

Digger Solo and Granite are both document q&a / pdf chat 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.

Digger Solo

The vendor describes Spotter as a semantic search layer that sits on top of your local file collection, letting you query by concept rather than keyword. It handles PDFs, images, documents, and music files, and the docs describe a relationship visualization feature that maps how files connect semantically. Because processing stays on your machine, nothing is uploaded to a cloud service. The free tier caps at 500 files with no index updates, which means any new files you add after the initial scan fall outside the search until you upgrade. Teams managing thousands of research papers or archive folders hit that ceiling fast.

Granite

Granite ingests your personal documents — receipts, insurance policies, vehicle titles, EOBs, tax forms — and makes them searchable by meaning, not filename. Drop a file in, and the system extracts the content, indexes it, and lets you ask questions in plain language rather than hunting through folder trees. The free tier caps at 25 documents and 1 GB, which covers a light user testing the concept. Once your document count climbs — multiple tax years, several insurance policies, a rental property's worth of records — you hit that ceiling fast, and the paid annual subscription is the only path forward. There is no self-hosted option and no API, so every document you store lives on Granite's infrastructure.

Attribute	Digger Solo	Granite
Pricing	Paid	Paid
Price	€49 one-time or €4.90/month	$99/year
Free trial	No	No
Open source	No	No
Has API	No	No
Self-hosted option	Yes	No
Platforms	macOS, Windows, Linux	Web (cloud)
Pros	All processing runs locally with no cloud upload, so sensitive documents — client contracts, medical records, draft research — never leave the machine. Concept-based search across PDFs with cited passage retrieval, so you locate the right paragraph without remembering the filename or reading the whole document. Duplicate detection across scattered folders, so years of disorganized downloads and backup copies stop inflating search results and eating disk space. Semantic music queuing from an unorganized library, so you get a coherent listening experience without manually curating playlists or relying on a streaming service's taste graph. Self-hosted via a Linux .deb package, so teams with air-gapped environments or strict data residency requirements can deploy it without a cloud dependency.	Semantic search over document content rather than filenames, so you find the deductible buried inside a 40-page insurance PDF without opening the file. Automatic document type recognition for tax forms, EOBs, and insurance policies, which means you skip the manual tagging that makes every other personal archive system collapse within six months. Plain-language querying across your full archive, so asking 'did I pay estimated taxes in Q3 last year' returns an answer instead of a folder to dig through. Free tier lets you validate the extraction quality on your actual document types before committing to annual billing — so you are not discovering the OCR fails on your scanned lease after paying.
Cons	The free tier caps at 500 files and does not update the index after the initial scan — any file added after setup is invisible to search until you upgrade, which makes it unusable as a living workspace for anyone adding documents regularly. There is no API, so Spotter cannot be wired into a broader workflow: no programmatic queries, no integration with a note-taking app, no automated tagging pipeline. Teams that need file intelligence inside an existing tool stack switch to an alternative with an API surface. Linux is the confirmed self-hosted platform via the .deb package; the scraped content does not confirm native packages for other operating systems, so Windows or macOS users relying on local processing may face a gap the vendor has not publicly addressed.	The 25-document free tier is exhausted the moment you upload two tax years plus a handful of insurance policies — teams evaluating at scale cannot test realistic document volumes without immediately hitting a paywall. No API and no self-hosted option means every document — W-2s, Social Security statements, medical EOBs — lives on Granite's cloud infrastructure; any team with a client whose compliance requirements prohibit third-party financial document storage switches to a self-hosted document intelligence solution like Paperless-ngx or a private deployment before the first document goes in. Expiration tracking is passive: you have to remember to ask. There is no proactive alerting when a vehicle registration or lease approaches its end date, so users who wanted an automated reminder system are maintaining a separate calendar or task tool alongside Granite. No multi-user or household sharing tier described on the vendor page, which means couples or business partners managing shared property or insurance records are duplicating uploads across separate accounts.

Bottom line

Digger Solo and Granite are closely matched on pricing model, openness, and API availability — pick by feature set and platform support in the table above.

Frequently asked questions

What is the difference between Digger Solo and Granite?

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

Is Digger Solo better than Granite?

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.