macOS • iOS • Apple Intelligence

BookKeeperLM

A native, privacy-first multiplatform application built to automate local financial parsing, receipt tracking, and ledger classification. Ported from python to Swift/SwiftUI, it leverages localized AI (ReceiptLM) to intelligently process financial uploads directly on-device without compromising confidential accounting data.

Secure Access Request

Submit your details to request an enterprise trial license. Your information is transmitted directly via an encrypted tunnel.

BookKeeperLM — Workspace
BookKeeperLM Interface Screenshot

Architectural Blueprint & Native Capability

Engineered for deterministic speed and ironclad data ownership. The local-first execution hierarchy comprises three distinct layers.

Technical Workflows

Automatic tracking of receipt metrics, processing of uploads, and ledger categorization. The model uses ReceiptLM local model weights directly inside iOS and macOS sandbox boundaries.

iCloud Sync Integration

Data flows cleanly and securely between your Mac and iPhone devices using your personal iCloud container. There is no middleman, database server, or central storage engine monitoring your financial ledgers.

Apple Silicon Neural Engine

Execution is hardware-accelerated directly inside the Secure Enclave and Neural Engine of Apple M-Series and A-Series chips, achieving rapid response times and near-zero power footprints.

On-Device Apple Intelligence Mandate

BookKeeperLM functions under a strict zero-cloud-server footprint policy. We do not store, process, or see your accounting parameters, transaction ledgers, or business metrics.

All ML categorization algorithms run entirely in memory containers protected by macOS and iOS sandboxing. Synchronizing databases across your device profile utilizes Apple's native iCloud framework directly.

By avoiding third-party analytics scripts, server-side data brokers, or external AI API endpoints, your operational tax ledger remains completely secure and under your sovereign control.

Validation Parameters

Cloud Ingestion Disabled
iCloud Synchronization End-to-End
Inference Model Apple Silicon
Compliance Core Zero-Trust