Evidence Tracker vs Sencha

Log incidents clearly, securely, and on your terms. IncidentLog is the privacy-first evidence tracker designed for workplace safety, legal documentation, and personal records. Whether you are tracking workplace harassment, service issues, equipment problems, or sensitive personal events, IncidentLog helps you create clear, timestamped records you can trust. No accounts. No tracking. No data collection. No clutter. No accounts. No unnecessary permissions. Key Features • Quick Incident Logging Capture what happened in seconds with a simple description and category. • Custom Categories Organize incidents using editable categories, icons, and colors. • Attachments Add images or files to preserve context and supporting evidence. • Automatic Timestamps Every incident is recorded with exact date and time. • Audit Log View a complete history of when incidents were created or modified. • Edit or Delete Records Update incidents as situations change. • Export Your Data Export incidents for backup, documentation, or sharing. • Privacy-First Design Your data stays under your control. Designed for Clarity Incident Logger is intentionally focused. It does one thing well: reliable incident documentation. No subscriptions required to get started. No ads. No tracking.

A native LLM client for on-device inference, LLM APIs, and self-hosted servers, built around a minimal, responsive interface. Download a supported model and chat offline without an API key or account. Or connect OpenRouter, direct providers, and compatible endpoints using your own credentials. On-Device Models • Download models from the built-in catalog, including Gemma 4, Qwen 3.5, Bonsai, and LFM 2.5 • Choose model sizes and quantization options to suit your device • Configure context window, reply length, and image detail where supported • Use streaming, thinking traces, image attachments, and web tools with compatible models • Reduce reprocessing of earlier messages with on-disk prompt caching Model capabilities and performance depend on the selected model and available device memory. Connections and Models • Connect OpenRouter, OpenCode, and direct providers • Add OpenAI- or Anthropic-compatible endpoints, including self-hosted runtimes such as Ollama and LM Studio • Use Chat Completions, Responses API, or Messages API • Choose an on-device or connected model per chat • Browse model catalogs and inspect context size, output limits, pricing, and capabilities where available • Configure reasoning effort, prompt caching, routing, and model tools where supported Web Search and Fetch • Use the included free web search via Markdown.new • Or configure Brave Search, Tavily, Exa, Serper, SerpApi, Parallel, or Keenable • Choose search-depth presets for Exa and Tavily • Fetch pages on device or through Markdown.new or Firecrawl • Configure fetch providers and fallbacks independently Files and Output • Attach photos, documents, and PDFs • Send PDFs natively, extract embedded text, run on-device OCR, or render pages as images • Read responses with formatted Markdown, code, mathematical formulas, and tables • Copy generated tables as a table, Markdown, or a complete image Voice Input • Use Apple Speech for on-device dictation • Download local transcription models • Connect API-based transcription providers The app is free, with no ads or app subscription. On-device models require no provider account or API key. Connected services are subject to their own pricing, limits, and data policies.