- Image2pixel v2.2.4 - 5 October 2026
### v2.2.4 - Added a built-in pixel editor on the Result panel: after converting a static image, click Edit to paint, fill, erase, eyedrop, replace colors, crop, and toggle the grid, then Done to write changes back for Save/Pattern. - Editor shortcuts default to Aseprite-style keys (B/E/G/I/…); customize them in the Keys dialog (saved locally). The canvas refits when the editor window is resized. - GIF results hide Edit (static images only in this version).
- Image2pixel v2.2.3 - 10 September 2026
- Opening the next image now keeps the parameters you manually adjusted in this session (they are no longer reset to defaults); the palette is still cleared so the previous image's colors are not reused by mistake. - Pixelizer no longer auto-changes parameters such as target width based on image content; it always uses your current settings.
- Image2pixel v2.2.2 - 10 September 2026
Fixed: opening a GIF failed with the error “Buffer is not defined”.
- Image2pixel v2.2.1 - 10 September 2026
### v2.2.1- Fixed: opening a new image inherited the previous image's processing parameters and palette (e.g. every image got the previously selected 4-color palette) — every new image now starts with default parameters and no palette, while the selected algorithm is kept. - Preference learning no longer records or recommends palettes; it only learns your algorithm and parameter preferences (palettes stored in older learning records are ignored — no need to clear them manually). - Startup no longer restores the last-used palette or processing parameters (the selected algorithm is still restored).
- Image2pixel v2.2.0 - 18 August 2026
### v2.2.0 - MCP and CLI now support the artisan and classiclab algorithms (the backend already supported them, but the enum lists were not updated, so selecting them was rejected by validation); a new algorithm_list tool/command now lists the public parameter ranges of all algorithms. - Fixed an issue where an algorithm explicitly specified via MCP could be silently overridden by history recipes. - Batch processing robustness: image loading now has a 30-second timeout (files on not-yet-downloaded cloud drives or disconnected network volumes no longer freeze the whole batch); pixel-computation workers now have a 120-second no-response watchdog with automatic main-thread fallback; batch progress now shows elapsed seconds when a single file takes a long time. - Updated version to 2.2.0.
- Image2pixel v2.1.9 - 16 August 2026
### v2.1.9 - Added a switch in Learning settings to turn off automatic parameter adjustment when opening an image — if you prefer full manual control, your current algorithm and parameters are now kept untouched (recipes from your own save history still apply unless preference learning is disabled). - Updated version to 2.1.9.
- Image2pixel v2.1.8 - 12 August 2026
### v2.1.8 - Transparent backgrounds are now preserved after conversion instead of being filled with a solid color (only fully transparent areas stay transparent; semi-transparent pixels are still made opaque to avoid hollow pixels). - Updated version to 2.1.8.
- Image2pixel v2.1.7 - 6 August 2026
### v2.1.7 - Fixed batch conversion and GIF processing silently producing blank (fully transparent) images when the conversion worker was interrupted by another operation — interrupted files are now automatically retried instead of being saved empty. - Fixed small images silently producing fully transparent output in auto/batch conversion (an over-aggressive block size collapsed the pixel grid below 2px) — the block size is now clamped to a safe minimum, and blank results are rejected with an error instead of being saved. - Fixed CLI/headless conversions keeping the process alive after finishing (the cache cleanup timer held the event loop open). - MCP batch_convert now rejects invalid algorithm values up front instead of silently falling back to standard. - Updated version to 2.1.7.
- image2pixel v2.1.6 - 23 July 2026
### v2.1.6 - Fixed an issue where adjusting parameters (e.g. color count) with SLIC, Pixelizer, or Classic Lab unnecessarily reset the canvas, causing a black flash — the previous result now stays on screen until the new one is ready. - Updated version to 2.1.6.
- image2pixel v2.1.5 - 22 July 2026
### v2.1.5 - Learning data can now be exported and imported as files, and organized into multiple named datasets (like palettes) — create, activate, and manage them with the new card-based UI. - Clearing learned data is now tucked into a danger zone with double confirmation. - Steam Cloud now syncs all learning datasets across devices. - Updated version to 2.1.5.
- image2pixel v2.1.4 - 21 July 2026
### v2.1.4 - Each user has a unique aesthetic, so the software cannot apply a single universal conversion standard. - Privacy protection: All data is saved locally on the user's computer and in Steam Cloud saves. No information is uploaded to any server. - Preference learning: every save teaches the app your parameters. Similar images automatically get your preferred algorithm, params, and palette recommended — the more you use it, the better it fits your style. - New "Learning" settings: see how much the app has learned, turn learning off, or clear learned data anytime. - Unified parameter defaults across the app and CLI. - Updated version to 2.1.4.
- image2pixel v2.1.3 - 21 July 2026
### v2.1.3 - Performance: pixelizer auto-detection up to 5.4× faster, SLIC up to 3.2× faster, Classic Lab ~20% faster (identical output). - SLIC and Classic Lab now convert in a background worker — the UI stays responsive during conversion. - Updated version to 2.1.3.
- image2pixel v2.1.2 - 20 July 2026
### v2.1.2 - Bead pattern export: cells now show per-pattern numbers (1–N) with a color code legend at the bottom, fixing overly long Perler / Perler Mini color codes. - Updated version to 2.1.2.
- image2pixel v2.1.1 - 20 July 2026
### v2.1.1 - Added Steam integration: Steam Cloud saves now sync recipes, settings, and custom palettes automatically. - Enabled contextIsolation and sandbox in the renderer for stronger security. - Fixed transparent borders around PNGs exported with the standard algorithm. - Updated version to 2.1.1.
- image2pixel v2.1.0 - 18 July 2026
### v2.1.0 - Upgraded to Electron 43 for better security, performance, and compatibility. - API keys are now stored in the OS secure storage (macOS Keychain / Windows DPAPI). - Smaller download packages with platform-specific binaries only. - Unified the pixelation engine across the app, CLI, and MCP. - Improved state management reliability and expanded automated test coverage. - Updated version to 2.1.0.
- image2pixel 2.0.9 - 29 June 2026
### v2.0.9 - Pattern export now supports the Classic Lab algorithm. - Updated version to 2.0.9.
- image2pixel v2.0.8 - 17 June 2026
- Optimized automatic parameter recommendation.
- image2pixel v2.0.7 - 31 May 2026
v2.0.7 - Frequency-weighted Median Cut: high-frequency colors (skin, sky, grass) get more palette slots across all algorithms. - Classic Lab upgraded to use the same frequency-weighted Median Cut for better color fidelity.
- image2pixel v2.0.6 - 31 May 2026
v2.0.6 - All palette operations upgraded to CIELAB perceptual color space (Median Cut, palette matching). - New Classic Lab algorithm: clean solid-color blocks, no dithering, pure classical pixel art. - Fixed Standard algorithm canvas sizing and block-edge artifacts when changing BlockSize. - Added Classic Lab option to the algorithm selector.
- image2pixel v2.0.5 - 27 May 2026
v2.0.5 - Auto-detect optimal Block Size and Color Count for Standard and Artisan algorithms.
