Compresto 1.29
PopularCompresto is a native macOS app that batch compresses videos, images, GIFs, and PDFs by up to 90% with no visible quality loss, processing everything entirely offline using Apple Silicon hardware acceleration. Version 1.29 adds offline AI file renaming via a local Ollama server, inline notch renaming, and a faster, lazy-loaded compression history.
Features
Compresto is a native macOS app that batch compresses videos, images, GIFs, and PDFs by up to 90% with no visible quality loss, processing everything entirely offline using Apple Silicon hardware acceleration. Version 1.29 adds offline AI file renaming via a local Ollama server, inline notch renaming, and a faster, lazy-loaded compression history.
Features
Compresto 1.29 Overview
Key Features
Image, GIF, and PDF Compression JPEG, PNG, WebP, HEIC, TIFF, and GIF files are compressed in seconds, and image-heavy PDFs can be shrunk while keeping text sharp and readable. Batch Processing Entire folders of videos, screenshots, or exports can be dropped in at once, with Compresto processing everything in the background while the user continues working. Folder Monitoring Automation Compresto can watch a specified folder and automatically compress new files after a configurable settle delay, useful when a download or export is still being written. Drag-and-Drop and Floating Drop Zone Files can be compressed by simple drag-and-drop onto the main window or a persistent floating Drop Zone that stays available while working in other apps. Offline AI Renaming with Ollama Users can point Compresto at a local Ollama server to generate descriptive file names entirely on-device using a vision model, with nothing sent to any external server. Inline Output Renaming in the Notch After a compression finishes, users can click a pencil icon next to the file name directly in the notch viewer to rename the output immediately, without opening Finder. Faster, Lazy-Loaded Compression History The history view now lazy-loads, rendering the newest items first and extending as the user scrolls, with an adjustable batch size picker (50, 100, 200, or 500 items).