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Show HN: Image Scaler – Privacy-focused image resizing with 60-image batches https://ift.tt/kvUcLRQ
Show HN: Image Scaler – Privacy-focused image resizing with 60-image batches Hi HN! I built Image Scaler because I was frustrated with existing free online image tools. They either limit batch processing to a handful of images, require login/registration, or add watermarks. And they usually upload your images to unknown servers. I originally made this for myself when I needed to resize large batches of product photos. I wanted something fast, lightweight, and privacy-respecting that could handle real workflow volumes without artificial restrictions. What makes it different: - Complete client-side processing using Canvas API, so images never leave your browser - Batch processing up to 60 images simultaneously (most free tools cap at 3-10) - No login, no watermarks, no usage limits - Traditional interpolation algorithms (nearest-neighbor, bilinear, bicubic) instead of AI black boxes - Supports JPG, PNG, and WebP - Fast and lightweight (built with vanilla JavaScript) Technical notes: The entire processing pipeline runs in your browser's Canvas API. There's no server upload step, which eliminates privacy concerns and makes it surprisingly fast even for large batches. I chose traditional algorithms over AI because they're transparent, predictable, and work well for most use cases (pixel art, web images, photo preparation). Feel free to try it out: https://ift.tt/NYasHzQ https://ift.tt/MiIdJXY January 8, 2026 at 06:44PM
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Show HN: Investor asks "what did engineering ship?" https://ift.tt/1DThgM2
Show HN: Investor asks "what did engineering ship?" Gitmore (https://gitmore.io) – dev visibility for founders and stakeholders. *...
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A word of prayer for you this month of July. God bless you abundantly, Amen. Fr. Kris Ikegwuonu, MDM. (+234 803 435 7990)
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Show HN: Applesoft BASIC editor with example programs This is an Applesoft BASIC editor that extracts and updates code into a live Apple II ...
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Show HN: A Spotify player in the terminal with full feature parity https://ift.tt/oZgrl1Q July 18, 2024 at 02:57AM
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