A collection of free and private browser-based tools

QuickBrew is a collection of free, browser-based utility tools designed for file conversion, content preparation, and development workflows. All processing occurs entirely within the user's web browser—no files are uploaded to remote servers. This architecture ensures privacy, speed, and offline-capable functionality for users who prioritize data security and simplicity.
The platform serves designers, developers, content creators, marketers, and everyday users who need reliable, no-installation solutions for common digital tasks. Tools span image, video, audio, PDF, AI, developer, and general utility domains, with consistent attention to format compatibility, precision controls (e.g., quality settings, dimensions, timing), and cross-platform usability.
Each tool loads as a standalone web page with an intuitive interface. Users select or drag-and-drop files into the browser; processing occurs using WebAssembly, JavaScript APIs (e.g., Canvas, MediaRecorder, Streams API), and client-side libraries. For example, image conversion leverages the Canvas API for pixel-level manipulation, while video tools use the MediaRecorder and VideoContext APIs to decode, transform, and re-encode media without external dependencies. AI tools like the Prompt Builder and Token Counter operate entirely on text input—no external model calls are made.
Outputs are generated locally and offered for immediate download. Where applicable, tools provide real-time previews (e.g., safe zone overlays, font inspection, QR code rendering) and granular controls (e.g., bitrate selection, rotation angle, frame rate, compression quality). The absence of backend processing eliminates latency from network transfer and removes reliance on third-party infrastructure.
QuickBrew supports practical, repeatable tasks across professional contexts. Designers use it to batch-convert iPhone HEIC photos to JPG, generate favicons at multiple resolutions, or verify TikTok/Instagram safe zones before publishing. Developers rely on it for debugging (JWT decoding, regex testing), documentation (Markdown↔HTML conversion), and API development (JSON Schema generation and validation). Content creators optimize assets for web delivery—compressing images, converting GIFs to MP4, trimming videos, or extracting audio from MP4 files. Marketers prepare social media assets with profile picture croppers and text overlays. Educational and technical users benefit from utilities like Unix timestamp conversion, case transformation, and token counting for LLM prompt refinement.