New • Edit your palette. Remove colors, lock the ones you want to keep, drag swatches to reorder them, and pick extra colors straight from the hero frame with the eyedropper. • Change the number of colors without reanalyzing. The palette updates in about a second, and locked colors stay in place. • Letterboxed films: black bars above and below the picture (or beside it) are detected and left out of the palette, the Color Story, and your exports. Turn off Ignore Letterbox to keep them. • Copy colors as HEX, RGB, HSL, or OKLCH. • A large hero frame preview now shows the frame and its palette together. Use the arrow keys to browse hero candidates. • Batch Export: drop several videos or images (or choose File > Batch Export) to analyze each one and save its export to a folder. • Open Recent in the File menu, including after you restart the app. • Open videos and images from Finder with Open With, or by dropping them on the Dock icon. • Color Story: drag across the timeline to choose an excerpt, or use any segment's frame as the hero frame. • Adds support for AVCHD (MTS, M2TS), TS, and 3GP video. Faster • Video analysis is faster, especially for WebM, MKV, and other formats decoded by FFmpeg. Results are the same as before. Fixed • "Sharpest" hero frame selection now judges the whole frame. Before, it could choose a frame based only on one corner. • Colors from WebM, MKV, AVI, and other FFmpeg-decoded videos are now accurate and match those from MP4 and MOV. • Portrait videos from iPhone now export as portrait reference cards. • Color percentages now add up to 100%. • Fixed videos where every sample showed the same frame, or where frames far into the file couldn't be read. • Image exports at Native size now use the image's full original resolution. • Canceling a reanalysis now keeps your previous results. • New Source now asks before discarding your current results. • Saving over an existing file no longer risks losing the original if the save fails.

Fixes a Color Story preview bug that could make the selected segment indicator look like extra color data, so the in-app timeline now matches exported PNGs.

PaletteFrame 1.7 adds three major creative workflows: • Color Story reveals how a video's dominant palette evolves over time, with depth-scaled density, segment inspection, excerpt reanalysis, and full-layout or color-bar-only PNG export. • Perceptual OKLab analysis improves clustering, duplicate removal, palette-representative hero selection, and deterministic results. • Export Studio adds live configuration, reusable presets, native/HD/2K/4K/custom widths, DPI metadata, and PNG, SVG, ASE, JSON, CSS, and text outputs.

- Analysis Depth: choose Fast, Standard, Deep, or Exhaustive - Extract 5, 7, 10, or 12 dominant colors - New Palette hero frame mode, picks the frame that best represents the film's overall color - Proper HDR10 and Dolby Vision support with accurate color - Handles massive files (70GB+) without breaking a sweat - Plus a bunch of polish and reliability fixes

• Significantly faster video analysis - batch frame extraction and vectorized color clustering powered by Apple's Accelerate framework • Smoother progress bar that updates during frame decoding instead of stalling at the start • Reduced startup delay for software-decoded formats like WebM and MKV • Decoder is now initialized once and reused across all analysis stages • Better error messages when video files fail to load

• Significantly faster video analysis - batch frame extraction and vectorized color clustering powered by Apple's Accelerate framework • Smoother progress bar that updates during frame decoding instead of stalling at the start • Reduced startup delay for software-decoded formats like WebM and MKV • Decoder is now initialized once and reused across all analysis stages • Better error messages when video files fail to load

• Faster analysis pipeline - batch frame extraction and vectorized color clustering cut processing time significantly • Progress bar now updates smoothly during frame decoding instead of stalling at the start • Reduced startup overhead for formats that require software decoding (WebM, MKV with VP9/AV1) • Smarter decoder reuse eliminates redundant initialization when switching between analysis stages • Color math upgraded to use Apple's Accelerate framework for SIMD-optimized K-means clustering • Quality scoring and thumbnail generation now run concurrently across available cores