How browser-based AI actually works, and how to get real work done with it — privately, for free, without uploading a single file. Looking for a finished job instead of an explanation? Start with the end-to-end workflows.
A 60-page paper or a 200-page contract, summarized on your own machine. How text extraction, 8,000-character chunking, and map-reduce summarization fit together — plus why scanned PDFs come back empty and what to do about it.
Read article →Two segmentation models, a fixed 512×512 graph, and a licensing decision most tools never mention. How in-browser background removal works, which quality tier to pick, and how to get clean edges on hair, fur and glass.
Read article →Turn screenshots, scans and photos into editable text without uploading them anywhere. How Tesseract.js works in WebAssembly, which page-segmentation mode to pick, when preprocessing helps, and how to audit accuracy using confidence scores.
Read article →A practical guide to shrinking JPEG, PNG, WebP, and AVIF files in your browser with the same codecs cloud services use — plus settings that balance file size and quality, with zero uploads.
Read article →A complete walkthrough of transcribing meetings, interviews, and voice memos in your browser with Whisper-based speech-to-text — no uploads, no per-minute fees, with tips for accuracy and export.
Read article →A plain-English tour of the two browser technologies that make local AI possible: WebAssembly for portable compute, WebGPU for GPU acceleration — what each does, when they fall back, and what to expect on your device.
Read article →Cloud AI means uploading your files to someone else's server. Browser-based AI flips that model: the model downloads once, then everything runs on your device. Here is why that matters for privacy, cost, and speed.
Read article →