LocalRAG is a private document AI for iPhone, iPad and Android. PaperMind is a Mac-native library. The relevant choice is device fit: sustained desk research and large local folders on one side, capture and access from a phone or tablet on the other.
The argument isn't a universal winner. It's device fit. PaperMind addresses a desktop library; LocalRAG addresses mobile capture and access.
Pick PaperMind if your documents matter and your real work happens at a desk.
Pick LocalRAG if your document life genuinely is mobile-first — light reading, the occasional scan, audio capture in the field — and that's the whole job.
This comparison is about form factor, not dismissing mobile work. A Mac is usually better suited to large folders, long documents, precise queries, and side-by-side review. A phone or tablet is better for capture, field access, and questions away from the desk.
Phones ship with 128 to 512 GB, and most of that is already photos, video, apps, and OS. A serious document library is tens to hundreds of GB. It physically doesn't fit. Real archives live on a Mac with an external drive or a NAS.
Even the files you see on your phone are usually iCloud Drive copies of files that actually live on a Mac. The phone is a window onto the library. If you're going to index the library, you index it on the machine that holds the originals.
Reading a 200-page PDF on glass is painful. Typing a precise question on a phone keyboard is slow. Holding two documents side-by-side is impossible. Document work is screen-real-estate work. A 27-inch display does in three seconds what a phone can't do.
None of the above means LocalRAG is a bad product. It's a real, working, well-engineered private document AI for the device most of us also have on us all the time. Where it's the right answer:
This is the thing LocalRAG does that PaperMind doesn't, at all. WhisperKit on iOS, whisper.cpp on Android, transcript ready to chat with. If audio is your load-bearing input, LocalRAG is the right tool and nothing on our end changes that.
You have a phone in your pocket and a moment to capture something. OCR runs on-device, gets dropped into a small library. Nothing in PaperMind helps you here, because PaperMind isn't in your pocket.
Pulling up a 30-page document on the iPad to ask a question while you wait is real value. The alternative is doomscrolling.
This is the simplest case. If your daily driver is an iPad or an Android tablet, LocalRAG is your option. PaperMind doesn't ship there.
Source checked : LocalRAG's official product page and support and plan details. PaperMind is still in release validation. Spot something wrong and tell us.
| Capability | PaperMind | LocalRAG |
|---|---|---|
| Where it runs | macOS 14+, where document libraries actually live | iPhone, iPad, Android — satellite devices |
| Practical library size | Mac storage and memory; no universal size promise | Mobile storage and memory |
| Screen for the job | Full Mac display. Side-by-side. Real PDF viewing. | 6–13" touchscreen, single task at a time |
| Typing the question | Real keyboard, long precise queries | Glass typing or voice; short queries |
| Pricing | Repository plan: free core + $29.99 one-time unlock; not yet a live offer | See LocalRAG's current listing |
| Account needed | No | Optional |
| File formats it reads | 30+ extensions across PDFs, Office files, EPUB, images, text, HTML, structured data | 23 formats including audio and video |
| Audio & video | Not supported. Documents only. | MP3, M4A, WAV, AAC, FLAC, MP4, MOV via WhisperKit / whisper.cpp |
| OCR for scans | Apple Vision via ocrmac — same engine the rest of macOS uses | On-device OCR |
| Local LLM choices | Llama 3.1 8B, Qwen 2.5 7B Instruct, more — GGUF and MLX | Qwen3 4B |
| Cloud LLM option | Bring your key for Claude, OpenAI, OpenRouter | Bundled Claude routing plus BYOK |
| Embedding model | IBM Granite 97m multilingual default, plus BGE-Small / Base / M3 | E5 Multilingual |
| Search | Hybrid BM25 + semantic + knowledge-graph global mode | BM25 + semantic, cross-language |
| Citations | Page-level, click to jump in the PDF | Inline citations, PDF jump |
| Workspaces | Multiple, fully isolated | Collections (folders) |
| Offline | Yes | Yes (on-device AI mode) |
The library that's actually on your hard drive. The contract that needs to be read against its previous version. The 11 GB of scanned genealogy records. The research folder with 800 PDFs. Anything where you sit down, focus, and don't want to be typing queries on a phone keyboard. One-time price, multi-GB libraries, knowledge-graph queries across the whole corpus.
The lecture you just recorded. The receipt you need to scan. The PDF a colleague just sent that you want to skim on the train. The audio of a doctor's visit. If you don't sit at a Mac for this kind of work, LocalRAG is the right answer.
Plenty of people will. PaperMind on the Mac as the primary workspace. LocalRAG on the phone for the on-the-go bits. That's a coherent setup and we're not going to pretend otherwise. The asymmetry is the point: the Mac side does the heavy lifting, the phone side handles the edges. If you had to pick one for serious document work, it'd be the Mac, and we built for the Mac.
PaperMind's Full Unlock is documented as a one-time $29.99 purchase. LocalRAG's live plans and bundled services can change. Compare the current total and limits at the time you choose.
That's where PaperMind lives. Its repository documents a free core and one-time unlock for macOS 14+, but the public offer is still being validated.
Check release status Back to product page