Halo by Scam AI vs Local: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Halo by Scam AI and Local — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Halo by Scam AI
Reality Inc
AI trust platform that detects deepfakes, voice clones, and GenAI content across images, video, audio, IDs, and live video calls.
Key features
- Deepfake Detection: Catches face swaps, lip-sync, reenactment, and cloned voices that impersonate real people in image, video, and audio.
- GenAI Content Detection: Identifies fully synthetic images, video, and audio from Stable Diffusion, DALL·E, Midjourney, Sora, and ElevenLabs.
- Halo On-Device Call Protection: Runs 100% on-device to flag synthetic faces and face swaps live on Zoom, Teams, and Meet without recording or uploading anything.
- Eva-v1 Model Family: Eva-v1-Fast returns verdicts on images in under 2 seconds; Eva-v1-Pro delivers forensic-grade accuracy in under 4 seconds.
- Unified REST API: One integration handles both deepfake and GenAI detection across image, video, and audio via a single authenticated endpoint.
- Identity & Document Verification: Detects forged IDs, manipulated selfies, and AI-generated documents before onboarding completes.
- Add-on Defenses: Adaptive Defense, Active Liveness, and Express Lane low-latency mode extend detection with injection-attack protection and 3s response SLAs.
- Enterprise Compliance: GDPR compliant, SOC 2 Type II attested, and no media retention by default, with configurable retention for audit needs.
Best for
- KYC & Onboarding: Financial services and marketplaces block AI-generated selfies and forged IDs before an account is opened.
- Contact Center Fraud Prevention: Detect voice clones in real time to stop synthetic-caller attacks against call-center authentication.
- Executive Call Protection: Halo alerts staff to face-swap impersonations on video calls before authorizing wire transfers.
- Hiring & Remote Interviews: Recruiters catch deepfake candidates impersonating real engineers during video interviews.
- Content Moderation: Media platforms scan uploads at scale to flag GenAI images, video, and audio before they reach users.
- Insurance Claim Review: Detect manipulated photos and forged supporting documents submitted with claims.
Local
Base Compute
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.
Key features
- 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.
Best for
- 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.