> ## Documentation Index > Fetch the complete documentation index at: https://docs.getbased.health/llms.txt > Use this file to discover all available pages before exploring further. # getbased: Health intelligence that's actually yours > getbased is a free, open-source personal health platform that integrates labs, DNA, meals, wearables, light, and AI — all stored locally in your browser. getbased is a personal health intelligence platform organized around a customizable dashboard and five lenses on your biology — Labs, Genome, Body, Light, and Insight. Every lens informs every other: your DNA shapes how labs are interpreted, meals add recorded intake and timing, wearable physiology shapes which biomarkers matter most, your light environment shapes your sleep and hormones, and the AI can synthesize the context you enable. Your data lives in your browser by default, with optional local encryption and no account required. The dashboard is the overview for the current profile. The lenses are the deeper workspaces. Recommendations turn signals from all lenses into data-linked next steps. ## Five lenses | Lens | What it covers | | - | - | | **Labs** | 197 core markers across 19 categories, calculated markers, specialty and custom markers, category placement, lab-first and context-aware ranges, trend charts, and biological age (PhenoAge + Bortz) | | **Genome** | 60 curated SNPs across 18 categories, APOE haplotype, 39 mtDNA lineages, and separately graded evidence and personal relevance | | **Body** | Meals and nutrition history; Oura, Withings, Polar, Apple Health, optional self-hosted WHOOP and Google Health; manual biometrics; menstrual cycle tracking with phase-aware ranges | | **Light** | Sun exposure with atmospheric UV data, photobiology devices, indoor light environment, 8 measurement tools | | **Insight** | AI chat with optional voice input and spoken replies, full health context, custom knowledge base, lifestyle context cards, Current Focus, and AI trend interpretation | ## Core surfaces | Surface | What it does | | - | - | | **Dashboard** | Customizable overview with focus, biological age, recommendations, priority markers, daily nutrition, biometrics, light context, and key trends | | **Recommendations** | Global action plan built from Labs, Body, Light, Genome, and Insight signals | | **Compare dates** | Side-by-side lab draw comparison | | **Correlations** | Marker pair scatter plots and preset relationships | ## What makes getbased different getbased is built around a few principles that set it apart from most health apps: **Local-first.** Your profile data is stored in your browser using localStorage and IndexedDB. AES-256-GCM local encryption is optional in **Settings → Data → Security**. Nothing goes to a server unless you choose a network feature such as AI, sync, profile sharing, backup, or Agent Access. **No account required.** Open the app and start using it. There is no sign-up or email. The hosted app may run anonymous cookieless usage stats for product health — no IP, no health data — and you can disable this in **Settings → Privacy**. **Free and open-source.** getbased is licensed under AGPL-3.0. You can inspect every line, self-host it, or contribute. **Several AI provider paths, including fully local.** You choose how AI works — pay-per-query with crypto, one-click OAuth, private-enclave modes, a hosted compatible endpoint, or a downloaded model running entirely on your own machine. getbased identifies whether a Local AI setup runs on this device, your LAN, a remote server, or the cloud. **Readable AI instructions.** The [AI prompt guide](/guides/ai-prompts) shows what chat, imports, insights, and Light & Sun ask AI on your behalf, what information can be included, and which messages you can edit before sending. **Compare models with evidence.** Run a verified 68-result sample report or repeat one of your own imports to compare accuracy, review effort, speed, and runtime details across local models, hosted models, and cloud providers. **Any lab PDF, any format.** The AI import pipeline reads lab reports from any country, language, or lab. There is no approved lab list. **Editable meal estimates with a strict photo boundary.** Log from meal photos, nutrition labels, or manual values, then correct everything before saving. Full-size meal photos are sent only for the analysis you choose and are not stored; reviewed data and small thumbnails can join encrypted Sync. ## Start here Open the app, take the first-visit tour, and start guided chat. Learn the current overview, widget controls, and lens navigation. Drop any lab report and let the AI extract and map your results automatically. Test local and hosted models or cloud providers with the same lab report. Dictate messages and hear replies with on-device models or a voice service you choose. Upload raw data from AncestryDNA, 23andMe, MyHeritage, FTDNA, or Living DNA. Turn profile signals into data-linked next steps. Sync a direct provider, import Apple Health, or enable WHOOP or Google Health when self-hosting. Review editable photo or label estimates, manual meals, targets, timing, and history. ## How getbased compares | | getbased | Typical health apps | | - | - | - | | Scope | Five integrated lenses (Labs, Genome, Body, Light, Insight) | One data class only | | Open source | AGPL-3.0 | Closed source | | Cost | Free | Free tier + paid upsell | | Data storage | Local browser by default; optional local encryption and encrypted sync | Cloud (their servers) | | AI providers | Multiple choices, including private-enclave, on-device, hosted compatible, and bring-your-own | Locked to one | | Model comparison | Built-in lab answer key, personal-report comparisons, and meal-photo benchmarks across providers | Usually unavailable | | Meals and nutrition | Editable photo/label/manual logs, coverage-aware history, targets, timing, and encrypted thumbnails | Often cloud-account dependent | | Lab import | Any PDF, any format, any language | Specific labs or formats only | | Biomarkers | 197 core markers across 19 categories, specialty adapters, and unlimited custom markers | Limited set | | Specialty labs | OAT, fatty acids + custom marker pipeline for any test | Blood only | | DNA raw data | 60 curated SNPs, APOE, 39 mtDNA lineages, 6 provider formats, plus report and manual entry | No | | Lifestyle context | 9 cards inform all AI analysis | None or basic | | Custom knowledge base | Bring your own document collection | No | | Account required | No | Yes | This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.