DocuSmart AI vs Local: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of DocuSmart AI and Local — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

DocuSmart AI

DocuSmart

Freemium

DocuSmart AI is an AI-powered document search built for nonprofits, delivering citation-backed answers across Google Drive, OneDrive, and Dropbox.

Cross-Platform Document Search: Search across Google Drive, OneDrive, and Dropbox in a single natural-language query, without migrating files.
Citation-Backed Answers: Every answer links to the specific source document (and passage), so program officers can verify before acting.
Grant Writing Acceleration: Retrieves prior proposals, evaluation reports, and policy language to speed up new grant applications.
Slack Integration: Ask DocuSmart directly from Slack channels or DMs to fit how nonprofit teams already work.
Plain-English Querying: No boolean syntax or filters — staff ask questions the way they'd ask a colleague.
GDPR-Compliant Security: Positioned for EU nonprofits with a security posture aligned to GDPR requirements.
No-Migration Setup: Connect existing cloud storage in place instead of re-uploading or restructuring documents.

Grant Application Drafting: Pull relevant impact metrics, prior narratives, and boilerplate language when writing a new grant.
Program Officer Lookups: Answer 'what did we commit to on this project' or 'what does our policy say' from the fund's own documents.
Onboarding New Staff: Give new hires a searchable, cited entry point into years of scattered organisational documents.
Board and Donor Reporting: Assemble evidence-backed responses to donor questions with citations to source documents.
Cross-Team Knowledge Search: Unify Drive, OneDrive, and Dropbox for organisations that grew across multiple cloud platforms.

Base Compute

Free

A macOS app that runs chat, coding and meeting AI entirely on your own Mac, with no cloud, no account and no per-token cost.

BaseRT Chip-Tuned Engine: Base Compute's inference runtime compiles for your specific Apple silicon on first launch, claiming up to 5.4x more tokens per second than engines other local apps ship.
Privacy Mode: Every request runs on the Mac and no data leaves the device — memories are stored locally, and facts marked sensitive are pinned to the machine permanently.
In-Folder Agentic Coding: Point Local at a project and it reads, edits and runs code in place without ever uploading the codebase.
On-Device Meeting Transcription: Meetings are transcribed locally with speakers labelled, so recordings and transcripts never reach a third-party service.
Memory You Can Edit: A short, fully visible list of lasting facts about you that you can review, edit or delete, rather than an opaque profile.
Memory-Aware Model Recommendations: Local reads your chip and RAM (8-16 GB, 24 GB, or 32-128 GB tiers) and suggests which open models will actually run well.
Office Mode: Serve the largest model from your fastest machine — Mac Studio, AMD Strix Halo, NVIDIA DGX Spark or an on-prem server — and reach it from Local on every laptop in the office.
Cost and Speed Analytics: A dashboard showing tokens processed, per-model throughput, and the equivalent cloud API cost you avoided.

Confidential Document Review: Drop a contract or PDF into chat and get a summary without the file ever touching a cloud provider.
Regulated-Industry Coding: Work agentically inside a proprietary codebase at a firm whose policy forbids uploading source to external AI services.
Private Meeting Notes: Transcribe internal calls with speaker attribution while keeping the audio on the laptop.
Zero-Marginal-Cost Experimentation: Run heavy prompt iteration without watching a per-token meter, since inference happens on hardware you already own.
Small-Office AI Server: Host a large open model on the one powerful Mac in the office and let the whole team query it from their own laptops.
Offline Fieldwork: Keep a full chat and coding assistant available on a flight or at a site with no reliable connectivity.
Hybrid Frontier Access: Keep everyday work local and connect your own OpenAI or Anthropic key only for the rare job that needs a frontier model.