Private AI for your documents

Ask questions, get cited answers. Find amounts and deadlines. Everything runs on your Mac — nothing leaves your device.

macOS 15+ · Apple Silicon required

Your data stays yours. Period.

No cloud. No API keys. No telemetry. Akhna runs entirely on Apple Silicon unified memory — your documents are processed, embedded, and searched without ever leaving your Mac.

Works with WiFi off*
100% Local Processing
No Cloud, No API Keys

*After the one-time AI model download on first launch.

A knowledge engine, not a chatbot

Akhna doesn't just chat — it reads, organizes, and understands your document library.

Cited Answers

Every response links back to the exact source text. Click a citation to see where the answer came from — no hallucination, full transparency.

Calendar Integration

"When am I free Thursday?" — Akhna checks your calendar, finds free slots, and helps you plan. Toggle individual calendars on or off.

Knowledge Summary

Import documents and instantly see key facts, dollar amounts, deadlines, and people mentioned. The app understands before you ask.

Import Anything

PDF, Word, text files, and images (OCR). Drag and drop, or watch a folder for automatic imports. Scanned documents work too.

Open Original

Click any citation to open the original document at the exact page. Verify answers against your real files, not extracted text.

18 Built-In Tools

Calculate, find contacts, check deadlines, estimate reading time, convert timezones — the AI picks the right tool automatically.

Scales With Your Mac

From 3B models on 16GB to 70B on 128GB. No artificial limits — your hardware determines your experience.

How It Works

1

Import Documents

Drop PDFs and text files into Akhna, or watch a folder for automatic imports.

2

Automatic Indexing

Documents are chunked, embedded, and indexed locally using AI. Takes about a minute for a typical library.

3

Ask Anything

Type a question. Akhna searches your documents, finds the relevant passages, and streams a cited answer.

4

Verify & Explore

Click citations to open the original document. Ask about your calendar. Let Akhna find deadlines and amounts automatically.

Performance by Hardware

First-query times with agent mode on. Subsequent queries are 2x faster from cache. Best on Pro and Max — works on any M-series Mac with 16GB+.

~10-20s
M4/M5 Max (64-128GB)
~15-25s
M4/M5 Pro (36-48GB)
~25-35s
M3/M4/M5 Air (24-32GB)
~30-50s
M1/M2 Air (16GB)

Questions & Answers

What hardware do I need?

Any M-series Mac with 16GB+ RAM. But the experience varies dramatically with hardware:

Why speed depends on your Mac: AI models are memory-bandwidth bound — the GPU reads the entire model from memory for every token it generates. Faster memory = faster answers. Pro and Max chips have 2-6x the memory bandwidth of Air chips.

Why RAM matters: More RAM lets you run larger, smarter models. 24GB runs a 7B model comfortably. 48GB unlocks 14B. 128GB runs 70B — cloud-grade intelligence, fully private.

Mac RAM Bandwidth Best Model First query
M4/M5 Max 64-128GB 400-613 GB/s 14B-70B ~10-20s ⭐
M4/M5 Pro 36-48GB 200-273 GB/s 7B-14B ~15-25s
M3/M4/M5 Air 24-32GB 100-153 GB/s 7B ~25-35s
M1/M2 Air 16GB 68-100 GB/s 3B-4B ~30-50s

First-query times include agent routing, document search, and answer generation. Subsequent queries on the same topic are roughly 2× faster thanks to prompt caching. For the best experience, we recommend a Pro or Max Mac — Akhna works on Air, it's just slower because of the memory-bandwidth difference.

Does my data leave my Mac?
Never. All processing — document chunking, embedding, vector search, and LLM inference — happens entirely on your device. Akhna has no server component, no analytics, and no telemetry. The only network request is to download the AI model on first launch.
What file types are supported?
PDF, Word (.docx), plain text, Markdown, and images (JPG, PNG, HEIC) via on-device OCR. PDFs with embedded text work best. Scanned documents and photos of documents are supported through Vision OCR.
How accurate are the answers?
Akhna grounds every answer in your actual document text and provides clickable citations so you can verify. It will tell you when it doesn't have enough information rather than making something up. That said, AI models can make mistakes — always check the cited sources for important decisions.
What AI models does Akhna use?
Akhna uses open-source models via MLX, optimized for each Mac's RAM. The recommended model is Qwen 2.5 7B (24GB+ RAM). Smaller models (3B-4B) run on 16GB. Larger models (14B, 32B, 70B) are available on high-RAM machines. Your selected model downloads once (~4GB) and runs locally.
How is this different from cloud-based AI tools?
Three key differences: (1) Akhna runs 100% locally — your documents never leave your Mac. (2) Every answer cites specific passages from your documents, so you can verify claims. (3) It discovers topics and themes across your library, acting as a knowledge engine rather than just a chat interface.

Try Akhna Today

Available now on the Mac App Store. Start asking questions about your documents in minutes.

Download on Mac App Store

macOS 15+ · Apple Silicon

Want early access to new features? Join the TestFlight beta.