fix: sync API docs, register content-aware-resize, normalize tool counts

- Fix 23 OpenAPI schema discrepancies across 16+ tools (wrong ranges, missing fields, incorrect schemas for gif-tools/collage/ocr) - Add content-aware-resize to canonical TOOLS array and landing BentoGrid - Normalize tool count to 47 across README, docs, landing, i18n, OpenAPI - Remove dead "automation" ToolCategory variant - Add BMP and JPEG XL format decoding via ImageMagick - Add libopenexr-dev to Docker runtime image - Update e2e test selectors for current pipeline builder UI
2026-08-03 07:46:42 +02:00 · 2026-04-24 23:27:08 +08:00
parent 7f62bc32db
commit 8633dba431
18 changed files with 211 additions and 84 deletions
@@ -14,7 +14,7 @@

 ## Key Features

- **45+ image tools** - Resize, crop, compress, convert, watermark, color adjust, vectorize, create GIFs, find duplicates, generate passport photos, and more
+- **47 image tools** - Resize, crop, compress, convert, watermark, color adjust, vectorize, create GIFs, find duplicates, generate passport photos, and more
 - **Local AI** - Remove backgrounds, upscale images, restore and colorize old photos, erase objects, blur faces, enhance faces, extract text (OCR). All on your hardware - no internet required
 - **Pipelines** - Chain tools into reusable workflows with unlimited steps. Batch process unlimited images at once
 - **REST API** - Every tool available via API with API key auth. Interactive docs at `/api/docs`
@@ -8,7 +8,7 @@ import { promisify } from "node:util";
 const execFileAsync = promisify(execFile);

 /** Formats that need external CLI tools (not decodable by Sharp). */
-const CLI_DECODED_FORMATS = new Set(["raw", "ico", "tga", "psd", "exr", "hdr"]);
+const CLI_DECODED_FORMATS = new Set(["raw", "ico", "tga", "psd", "exr", "hdr", "bmp", "jxl"]);

 export function needsCliDecode(format: string): boolean {
  return CLI_DECODED_FORMATS.has(format);
@@ -32,6 +32,10 @@ export async function decodeToSharpCompat(buffer: Buffer, format: string): Promi
      return decodeExr(buffer);
    case "hdr":
      return decodeHdr(buffer);
+    case "bmp":
+      return decodeBmp(buffer);
+    case "jxl":
+      return decodeJxl(buffer);
    default:
      return buffer;
  }
@@ -192,3 +196,39 @@ async function decodeHdr(buffer: Buffer): Promise<Buffer> {
    await rm(outputPath, { force: true }).catch(() => {});
  }
 }
+
+async function decodeBmp(buffer: Buffer): Promise<Buffer> {
+  const cmd = await findMagickCmd();
+  const id = randomUUID();
+  const inputPath = join(tmpdir(), `bmp-in-${id}.bmp`);
+  const outputPath = join(tmpdir(), `bmp-out-${id}.png`);
+
+  try {
+    await writeFile(inputPath, buffer);
+    await execFileAsync(cmd, magickArgs(cmd, [inputPath, `png:${outputPath}`]), {
+      timeout: 120_000,
+    });
+    return await readFile(outputPath);
+  } finally {
+    await rm(inputPath, { force: true }).catch(() => {});
+    await rm(outputPath, { force: true }).catch(() => {});
+  }
+}
+
+async function decodeJxl(buffer: Buffer): Promise<Buffer> {
+  const cmd = await findMagickCmd();
+  const id = randomUUID();
+  const inputPath = join(tmpdir(), `jxl-in-${id}.jxl`);
+  const outputPath = join(tmpdir(), `jxl-out-${id}.png`);
+
+  try {
+    await writeFile(inputPath, buffer);
+    await execFileAsync(cmd, magickArgs(cmd, [inputPath, `png:${outputPath}`]), {
+      timeout: 120_000,
+    });
+    return await readFile(outputPath);
+  } finally {
+    await rm(inputPath, { force: true }).catch(() => {});
+    await rm(outputPath, { force: true }).catch(() => {});
+  }
+}
@@ -3,7 +3,7 @@ info:
  title: SnapOtter API
  version: 1.15.9
  description: |
-    REST API for SnapOtter, a self-hosted image processing platform with 30+ tools.
+    REST API for SnapOtter, a self-hosted image processing platform with 47 tools.

    ## Authentication

@@ -344,10 +344,11 @@ paths:
                  type: string
                  description: |
                    JSON string with options:
-                    - `left` (integer, required) — Left offset in pixels
-                    - `top` (integer, required) — Top offset in pixels
-                    - `width` (integer, required) — Width of crop region in pixels
-                    - `height` (integer, required) — Height of crop region in pixels
+                    - `left` (number, required) — Left offset in pixels (min 0)
+                    - `top` (number, required) — Top offset in pixels (min 0)
+                    - `width` (number, required) — Width of crop region in pixels
+                    - `height` (number, required) — Height of crop region in pixels
+                    - `unit` (string, optional) — One of: px, percent
      responses:
        "200":
          description: Processed image
@@ -437,7 +438,7 @@ paths:
                  type: string
                  description: |
                    JSON string with options:
-                    - `format` (string, required) — One of: jpg, png, webp, avif, tiff, gif, heic
+                    - `format` (string, required) — One of: jpg, png, webp, avif, tiff, gif, heic, heif
                    - `quality` (number 1-100, optional) — Output quality
      responses:
        "200":
@@ -576,12 +577,17 @@ paths:
                  type: string
                  description: |
                    JSON string with options:
-                    - `borderWidth` (number 0-200, default 10) — Border thickness in pixels
+                    - `borderWidth` (number 0-2000, default 10) — Border thickness in pixels
                    - `borderColor` (hex string, default "#000000") — Border color
-                    - `cornerRadius` (number 0-500, default 0) — Corner rounding radius
                    - `padding` (number 0-200, default 0) — Inner padding in pixels
-                    - `shadowBlur` (number 0-50, default 0) — Drop shadow blur radius
-                    - `shadowColor` (hex string, default "#00000080") — Drop shadow color
+                    - `paddingColor` (hex string, default "#FFFFFF") — Padding fill color
+                    - `cornerRadius` (number 0-2000, default 0) — Corner rounding radius
+                    - `shadow` (boolean, default false) — Enable drop shadow
+                    - `shadowBlur` (number 1-200, default 15) — Drop shadow blur radius
+                    - `shadowOffsetX` (number -50 to 50, default 0) — Shadow horizontal offset
+                    - `shadowOffsetY` (number -50 to 50, default 5) — Shadow vertical offset
+                    - `shadowColor` (hex string, default "#000000") — Drop shadow color
+                    - `shadowOpacity` (number 0-100, default 40) — Shadow opacity percentage
      responses:
        "200":
          description: Processed image
@@ -1903,7 +1909,7 @@ paths:
                  description: |
                    JSON string with options:
                    - `text` (string 1-500, required) — Watermark text
-                    - `fontSize` (number 8-200, default 48) — Font size in pixels
+                    - `fontSize` (number 8-1000, default 48) — Font size in pixels
                    - `color` (hex string, default "#000000") — Text color
                    - `opacity` (number 0-100, default 50) — Opacity percentage
                    - `position` (string, default "center") — One of: center, top-left, top-right, bottom-left, bottom-right, tiled
@@ -2048,10 +2054,23 @@ paths:
                  type: string
                  description: |
                    JSON string with options:
-                    - `width` (number 1-4096, optional) — Target width in pixels
-                    - `height` (number 1-4096, optional) — Target height in pixels
-                    - `extractFrame` (number, optional) — Extract specific frame index
-                    - `optimize` (boolean, default false) — Optimize GIF file size
+                    - `mode` (string, default "resize") — One of: resize, optimize, speed, reverse, extract, rotate
+                    - `width` (number 1-16384, optional) — Target width in pixels (resize mode)
+                    - `height` (number 1-16384, optional) — Target height in pixels (resize mode)
+                    - `percentage` (number 1-500, optional) — Scale by percentage (resize mode)
+                    - `colors` (number 2-256, default 256) — Color palette size (optimize mode)
+                    - `dither` (number 0-1, default 1.0) — Dither amount (optimize mode)
+                    - `effort` (number 1-10, default 7) — Compression effort (optimize mode)
+                    - `speedFactor` (number 0.1-10, default 1.0) — Speed multiplier (speed mode)
+                    - `extractMode` (string, default "single") — One of: single, range, all (extract mode)
+                    - `frameNumber` (number, default 0) — Frame index to extract (extract/single mode)
+                    - `frameStart` (number, default 0) — Start frame index (extract/range mode)
+                    - `frameEnd` (number, optional) — End frame index (extract/range mode)
+                    - `extractFormat` (string, default "png") — One of: png, webp (extract mode)
+                    - `angle` (number, optional) — Rotation angle, one of: 90, 180, 270 (rotate mode)
+                    - `flipH` (boolean, default false) — Flip horizontally (rotate mode)
+                    - `flipV` (boolean, default false) — Flip vertically (rotate mode)
+                    - `loop` (number 0-100, default 0) — Loop count, 0 = infinite
      responses:
        "200":
          description: Processed image
@@ -2148,11 +2167,11 @@ paths:
                  type: string
                  description: |
                    JSON string with options:
-                    - `mode` (string) — "subject" (default), "face", or "trim"
-                    - `strategy` (string) — "attention" (default) or "entropy" (subject mode)
-                    - `width` (integer) — Target width in pixels (default 1080)
-                    - `height` (integer) — Target height in pixels (default 1080)
-                    - `padding` (integer 0-50) — Padding percentage around focus area
+                    - `mode` (string, default "subject") — One of: subject, face, trim, attention (alias for subject), content (alias for trim)
+                    - `strategy` (string, default "attention") — One of: attention, entropy (subject mode)
+                    - `width` (integer, optional) — Target width in pixels
+                    - `height` (integer, optional) — Target height in pixels
+                    - `padding` (integer 0-50, default 0) — Padding percentage around focus area
                    - `facePreset` (string) — "closeup", "head-shoulders", "upper-body", "half-body" (face mode)
                    - `sensitivity` (number 0-1) — Face detection sensitivity (face mode)
                    - `threshold` (integer 0-255) — Trim tolerance (trim mode)
@@ -2205,9 +2224,9 @@ paths:
                    JSON string with options:
                    - `colorMode` (string, default "bw") - One of: bw, color
                    - `threshold` (number 0-255, default 128) - B&W binarization threshold
-                    - `colorPrecision` (number 1-8, default 6) - Color bits per channel
-                    - `layerDifference` (number 1-64, default 6) - Color gradient step
-                    - `filterSpeckle` (number 1-128, default 4) - Noise filter size
+                    - `colorPrecision` (number 1-16, default 6) - Color bits per channel
+                    - `layerDifference` (number 1-128, default 6) - Color gradient step
+                    - `filterSpeckle` (number 1-256, default 4) - Noise filter size
                    - `pathMode` (string, default "spline") - One of: none, polygon, spline
                    - `cornerThreshold` (number 0-180, default 60) - Corner detection angle
                    - `invert` (boolean, default false) - Invert colors before tracing
@@ -2254,9 +2273,9 @@ paths:
                  type: string
                  description: |
                    JSON string with options:
-                    - `width` (number 1-16384, optional) — Output width in pixels
-                    - `height` (number 1-16384, optional) — Output height in pixels
-                    - `dpi` (number 36-1200, default 300) — Render density for SVG rasterization
+                    - `width` (number 1-65536, optional) — Output width in pixels
+                    - `height` (number 1-65536, optional) — Output height in pixels
+                    - `dpi` (number 36-2400, default 300) — Render density for SVG rasterization
                    - `quality` (number 1-100, default 90) — Output quality for lossy formats
                    - `backgroundColor` (hex string, default "#00000000") — Background color
                    - `outputFormat` (string, default "png") — One of: png, jpg, webp, avif, tiff, gif, heif
@@ -2353,7 +2372,7 @@ paths:
                    JSON string with options:
                    - `pageSize` (string, default "A4") — One of: A4, Letter, A3, A5
                    - `orientation` (string, default "portrait") — One of: portrait, landscape
-                    - `margin` (number 0-100, default 20) — Page margin in points
+                    - `margin` (number 0-500, default 20) — Page margin in points
      responses:
        "200":
          description: Generated PDF (downloadUrl points to .pdf file)
@@ -2398,7 +2417,7 @@ paths:
                  description: |
                    JSON string with options:
                    - `format` (string, default "png") — Output format: png, jpg, webp, avif, tiff, gif, heic, heif
-                    - `dpi` (number 36-1200, default 150) — Resolution in dots per inch
+                    - `dpi` (number 36-2400, default 150) — Resolution in dots per inch
                    - `quality` (number 1-100, default 85) — Output quality
                    - `colorMode` (string, default "color") — One of: color, grayscale, bw
                    - `pages` (string, default "all") — Page selection, e.g. "all", "1-3", "1,3,5"
@@ -2557,8 +2576,12 @@ paths:
                  type: string
                  description: |
                    JSON string with options:
-                    - `columns` (number 1-10, default 2) — Number of columns
-                    - `rows` (number 1-10, default 2) — Number of rows
+                    - `columns` (number 1-100, default 3) — Number of columns
+                    - `rows` (number 1-100, default 3) — Number of rows
+                    - `tileWidth` (number, min 10, optional) — Fixed tile width in pixels
+                    - `tileHeight` (number, min 10, optional) — Fixed tile height in pixels
+                    - `outputFormat` (string, default "original") — One of: original, png, jpg, webp, avif
+                    - `quality` (number 1-100, default 90) — Output quality
      responses:
        "200":
          description: ZIP archive with results
@@ -2605,7 +2628,7 @@ paths:
                  type: string
                  description: |
                    JSON string with options:
-                    - `pattern` (string 1-200, default "image-{{index}}") — Naming pattern template
+                    - `pattern` (string 1-1000, default "image-{{index}}") — Naming pattern template
                    - `startIndex` (number, default 1) — Starting index number
      responses:
        "200":
@@ -2835,6 +2858,20 @@ paths:
                  type: string
                  format: binary
                  description: Mask image (white areas will be erased)
+                format:
+                  type: string
+                  enum: [png, jpg, jpeg, webp, tiff, gif, avif, heic, heif]
+                  default: png
+                  description: Output format
+                quality:
+                  type: integer
+                  minimum: 1
+                  maximum: 100
+                  default: 95
+                  description: Output quality
+                clientJobId:
+                  type: string
+                  description: Client-provided job ID for SSE progress tracking
      responses:
        "200":
          description: Processed image
@@ -2880,9 +2917,14 @@ paths:
                  type: string
                  description: |
                    JSON string with options:
-                    - `layout` (string, default "2x2") — One of: 2x2, 3x3, 1x3, 2x1, 3x1, 1x2
-                    - `gap` (number 0-50, default 4) — Gap between images in pixels
-                    - `backgroundColor` (hex string, default "#FFFFFF") — Background fill color
+                    - `templateId` (string, required) — Template ID defining the grid layout
+                    - `cells` (array, optional) — Per-cell configuration overrides
+                    - `gap` (number 0-500, default 8) — Gap between images in pixels
+                    - `cornerRadius` (number 0-500, default 0) — Corner rounding radius
+                    - `backgroundColor` (string, default "#FFFFFF") — Background fill color
+                    - `aspectRatio` (string, default "free") — Aspect ratio constraint
+                    - `outputFormat` (string, default "png") — One of: png, jpeg, webp, avif
+                    - `quality` (number 1-100, default 90) — Output quality
      responses:
        "200":
          description: Processed image
@@ -2929,14 +2971,14 @@ paths:
                  description: |
                    JSON string with options:
                    - `direction` (string, default "horizontal") — One of: horizontal, vertical, grid
-                    - `gridColumns` (integer 2-10, default 2) — Columns when direction is grid
+                    - `gridColumns` (integer 2-100, default 2) — Columns when direction is grid
                    - `resizeMode` (string, default "fit") — One of: fit, original, stretch, crop
                    - `alignment` (string, default "center") — One of: start, center, end
-                    - `gap` (number 0-200, default 0) — Gap between images in pixels
-                    - `border` (number 0-50, default 0) — Border width in pixels
-                    - `cornerRadius` (number 0-50, default 0) — Corner radius in pixels
-                    - `backgroundColor` (string, default "#FFFFFF") — Hex color for background and gap fill
-                    - `format` (string, default "png") — One of: png, jpeg, webp
+                    - `gap` (number 0-1000, default 0) — Gap between images in pixels
+                    - `border` (number 0-500, default 0) — Border width in pixels
+                    - `cornerRadius` (number 0-500, default 0) — Corner radius in pixels
+                    - `backgroundColor` (hex string, default "#FFFFFF") — Hex color for background and gap fill
+                    - `format` (string, default "png") — One of: png, jpeg, webp, avif
                    - `quality` (number 1-100, default 90) — Output quality
      responses:
        "200":
@@ -2982,7 +3024,15 @@ paths:
                  description: |
                    JSON string with options:
                    - `model` (string, optional) — AI model name
+                    - `backgroundType` (string, optional) — One of: transparent, color, gradient, blur, image
                    - `backgroundColor` (string, optional) — Hex color to replace removed background with
+                    - `gradientColor1` (string, optional) — First gradient color
+                    - `gradientColor2` (string, optional) — Second gradient color
+                    - `gradientAngle` (number, optional) — Gradient angle in degrees
+                    - `blurEnabled` (boolean, optional) — Enable background blur effect
+                    - `blurIntensity` (number 0-100, optional) — Blur strength
+                    - `shadowEnabled` (boolean, optional) — Enable drop shadow
+                    - `shadowOpacity` (number 0-100, optional) — Shadow opacity
      responses:
        "200":
          description: Processed image
@@ -3090,6 +3140,11 @@ paths:
                  description: |
                    JSON string with options:
                    - `scale` (number, default 2) — Upscale factor
+                    - `model` (string, default "auto") — AI model name
+                    - `faceEnhance` (boolean, default false) — Enable face enhancement
+                    - `denoise` (number, default 0) — Denoise strength
+                    - `format` (string, default "png") — Output format
+                    - `quality` (number, default 95) — Output quality (1-100)
      responses:
        "200":
          description: Processed image
@@ -3133,7 +3188,7 @@ paths:
                  type: string
                  description: |
                    JSON string with options:
-                    - `blurRadius` (number, default 30) — Blur strength radius
+                    - `blurRadius` (number 1-100, default 30) — Blur strength radius
                    - `sensitivity` (number 0-1, default 0.5) — Face detection sensitivity
      responses:
        "200":
@@ -3178,8 +3233,10 @@ paths:
                  type: string
                  description: |
                    JSON string with options:
-                    - `engine` (string, default "tesseract") — One of: tesseract, paddleocr
-                    - `language` (string, default "en") — One of: en, de, fr, es, zh, ja, ko
+                    - `quality` (string, default "balanced") — One of: fast, balanced, best
+                    - `language` (string, default "auto") — One of: auto, en, de, fr, es, zh, ja, ko
+                    - `enhance` (boolean, default true) — Pre-process image for better recognition
+                    - `engine` (string, optional) — One of: tesseract, paddleocr (backward compat)
      responses:
        "200":
          description: Extracted text
@@ -3332,6 +3389,11 @@ paths:
                  type: string
                  format: binary
                  description: Image file containing barcode or QR code
+                settings:
+                  type: string
+                  description: |
+                    JSON string with options:
+                    - `tryHarder` (boolean, default true) — Enable more aggressive barcode detection
      responses:
        "200":
          description: Decoded barcode data
@@ -3378,6 +3440,11 @@ paths:
                    type: string
                    format: binary
                  description: Multiple image files to check for duplicates
+                settings:
+                  type: string
+                  description: |
+                    JSON string with options:
+                    - `threshold` (number 0-20, default 8) — Hamming distance threshold for duplicate detection
      responses:
        "200":
          description: Duplicate groups
@@ -3432,7 +3499,7 @@ paths:
                size:
                  type: integer
                  minimum: 100
-                  maximum: 2000
+                  maximum: 10000
                  default: 400
                  description: Image size in pixels
                errorCorrection:
@@ -3542,6 +3609,8 @@ paths:
                  type: string
                  description: |
                    JSON string with options:
+                    - `title` (string) — Image title
+                    - `author` (string) — Author name
                    - `artist` (string) — Artist or author name
                    - `copyright` (string) — Copyright notice
                    - `imageDescription` (string) — Image description
@@ -39,7 +39,7 @@ function generateLlmsTxt(spec: OpenAPISpec): string {
  lines.push(`# ${spec.info.title}`);
  lines.push("");
  lines.push(
-    "> Self-hosted image processing API with 30+ tools. Resize, compress, convert, remove backgrounds, upscale, run OCR, and more.",
+    "> Self-hosted image processing API with 47 tools. Resize, compress, convert, remove backgrounds, upscale, run OCR, and more.",
  );
  lines.push("");
  lines.push("## Docs");
@@ -4,7 +4,7 @@ import llmstxt from "vitepress-plugin-llms";
 export default defineConfig({
  title: "SnapOtter",
  description:
-    "Documentation for SnapOtter - A Self Hosted Image Manipulator. 45+ tools, local AI, pipelines, REST API.",
+    "Documentation for SnapOtter - A Self Hosted Image Manipulator. 47 tools, local AI, pipelines, REST API.",
  base: "/",
  appearance: { initialValue: "light" },
  srcDir: ".",
@@ -48,7 +48,7 @@ export default defineConfig({
 `,
        customTemplateVariables: {
          description:
-            "SnapOtter is a self-hosted, open-source image processing platform with 45+ tools including AI/ML. Runs in a single Docker container with GPU auto-detection.",
+            "SnapOtter is a self-hosted, open-source image processing platform with 47 tools including AI/ML. Runs in a single Docker container with GPU auto-detection.",
          details:
            "Resize, compress, convert, remove backgrounds, upscale, run OCR, and more - without sending images to external services.",
        },
@@ -4,7 +4,7 @@ layout: home
 hero:
  name: "SnapOtter"
  text: "A Self Hosted Image Manipulator"
-  tagline: 45+ tools. Local AI. No cloud. Your images stay on your machine.
+  tagline: 47 tools. Local AI. No cloud. Your images stay on your machine.
  actions:
    - theme: brand
      text: Get started
@@ -8,12 +8,12 @@ const nunito = Nunito({ subsets: ["latin"], variable: "--font-nunito" });
 export const metadata: Metadata = {
  title: "SnapOtter | Self-Hosted Image Processing",
  description:
-    "40+ image processing tools with local AI. Runs 100% offline. No data leaves your network. Open source and free forever.",
+    "47 image processing tools with local AI. Runs 100% offline. No data leaves your network. Open source and free forever.",
  metadataBase: new URL("https://snapotter.com"),
  openGraph: {
    title: "SnapOtter | Self-Hosted Image Processing",
    description:
-      "40+ image processing tools with local AI. Runs 100% offline. No data leaves your network.",
+      "47 image processing tools with local AI. Runs 100% offline. No data leaves your network.",
    url: "https://snapotter.com",
    siteName: "SnapOtter",
    type: "website",
@@ -30,7 +30,7 @@ export const metadata: Metadata = {
    card: "summary_large_image",
    title: "SnapOtter | Self-Hosted Image Processing",
    description:
-      "40+ image processing tools with local AI. Runs 100% offline. No data leaves your network.",
+      "47 image processing tools with local AI. Runs 100% offline. No data leaves your network.",
    images: ["/og-image.svg"],
  },
 };
@@ -33,6 +33,7 @@ import {
  Pipette,
  QrCode,
  RotateCw,
+  Scaling,
  Scan,
  ScanFace,
  ScanLine,
@@ -230,6 +231,12 @@ const tools: { name: string; description: string; category: string; icon: Lucide
    category: "ai",
    icon: UserCheck,
  },
+  {
+    name: "Content-Aware Resize",
+    description: "Seam carving resize that preserves important content",
+    category: "ai",
+    icon: Scaling,
+  },
  // Watermark & Overlay
  {
    name: "Text Watermark",
@@ -382,7 +389,7 @@ export function BentoGrid() {
      <div className="mx-auto max-w-6xl">
        <FadeIn>
          <h2 className="font-[family-name:var(--font-nunito)] text-center text-3xl font-bold tracking-tight md:text-4xl">
-            40+ tools. Zero cloud dependency.
+            47 tools. Zero cloud dependency.
          </h2>
          <p className="mx-auto mt-4 max-w-xl text-center text-lg text-muted">
            Search to find exactly what you need. Every tool runs 100% locally.
@@ -7,7 +7,7 @@ const freePlan = {
  price: "Free",
  subtitle: "For everyone. Forever.",
  features: [
-    "All 40+ image processing tools",
+    "All 47 image processing tools",
    "Unlimited usage, no hidden caps",
    "Full REST API with OpenAPI docs",
    "Pipeline automation",
@@ -11,7 +11,7 @@ const phrases = [
  "No limits. No hidden caps.",
  "Works fully offline.",
  "Unlimited batch processing.",
-  "40+ image tools.",
+  "47 image tools.",
  "14 AI models. Your hardware.",
  "Lightning fast. Built on Sharp.",
  "Air-gapped ready.",
@@ -2517,7 +2517,7 @@ function AboutSection() {
          </div>
        </div>
        <p className="text-sm text-muted-foreground">
-          A self-hosted, privacy-first image processing suite with 30+ tools. Resize, compress,
+          A self-hosted, privacy-first image processing suite with 47 tools. Resize, compress,
          convert, watermark, and automate your image workflows without sending data to the cloud.
        </p>
        <div className="flex items-center gap-4 text-sm">
@@ -149,6 +149,7 @@ RUN for i in 1 2 3; do apt-get -o Acquire::Retries=3 update && break || sleep $(
    tini \
    imagemagick \
    libraw-dev \
+    libopenexr-dev \
    potrace \
    curl \
    gosu \
@@ -233,6 +233,14 @@ export const TOOLS: Tool[] = [
    icon: "UserCheck",
    route: "/passport-photo",
  },
+  {
+    id: "content-aware-resize",
+    name: "Content-Aware Resize",
+    description: "Seam carving resize that preserves important content with face protection",
+    category: "ai",
+    icon: "Scaling",
+    route: "/content-aware-resize",
+  },
  // Watermark & Overlay
  {
    id: "watermark-text",
@@ -193,7 +193,7 @@ export const en = {
    regenerateKey: "Regenerate",
    copyKey: "Copy Key",
    aboutDescription:
-      "SnapOtter is a self-hosted, privacy-first image processing suite with 30+ tools.",
+      "SnapOtter is a self-hosted, privacy-first image processing suite with 47 tools.",
    aboutLinks: "Links",
    github: "GitHub",
    documentation: "Documentation",
@@ -18,8 +18,7 @@ export type ToolCategory =
  | "watermark"
  | "utilities"
  | "layout"
-  | "format"
-  | "automation";
+  | "format";

 export interface CategoryInfo {
  id: ToolCategory;
@@ -10,16 +10,16 @@ test.describe("Automate Page", () => {
   */
  async function gotoAutomate(page: import("@playwright/test").Page) {
    const heading = page.getByRole("heading", {
-      name: /automate/i,
+      name: /pipeline builder|automate/i,
    });

    for (let attempt = 0; attempt < 3; attempt++) {
      if (attempt === 0) {
-        await page.goto("/automate", { waitUntil: "networkidle" });
+        await page.goto("/automate", { waitUntil: "load" });
      } else {
        // On retry, wait then reload
        await page.waitForTimeout(500);
-        await page.goto("/automate", { waitUntil: "networkidle" });
+        await page.goto("/automate", { waitUntil: "load" });
      }

      try {
@@ -31,7 +31,7 @@ test.describe("Automate Page", () => {
    }

    // Final attempt - let it throw if it fails
-    await page.goto("/automate", { waitUntil: "networkidle" });
+    await page.goto("/automate", { waitUntil: "load" });
    await expect(heading).toBeVisible({ timeout: 10_000 });
  }

@@ -48,8 +48,6 @@ test.describe("Automate Page", () => {
    name: string,
    expectedCount: number,
  ) {
-    await page.getByRole("button", { name: /add step/i }).click();
-    await expect(page.getByText("Add a step")).toBeVisible();
    await page.getByPlaceholder("Search tools...").fill(name);
    await page
      .getByRole("button", { name: new RegExp(name, "i") })
@@ -74,12 +72,16 @@ test.describe("Automate Page", () => {

  test("automate page renders pipeline builder", async ({ loggedInPage: page }) => {
    await gotoAutomate(page);
-    await expect(page.getByText(/chain tools into a pipeline/i).first()).toBeVisible();
+    await expect(
+      page.getByText(/add tools from the palette|chain tools into a pipeline/i).first(),
+    ).toBeVisible();
  });

  test("shows empty state message when no steps", async ({ loggedInPage: page }) => {
    await gotoAutomate(page);
-    await expect(page.getByText(/add steps to build your pipeline/i)).toBeVisible();
+    await expect(
+      page.getByText(/add tools from the palette|add steps to build your pipeline/i),
+    ).toBeVisible();
  });

  test("shows dropzone when no file uploaded", async ({ loggedInPage: page }) => {
@@ -89,9 +91,9 @@ test.describe("Automate Page", () => {
    await expect(page.getByRole("button", { name: /upload from computer/i })).toBeVisible();
  });

-  test("has Add Step button", async ({ loggedInPage: page }) => {
+  test("has tool palette search", async ({ loggedInPage: page }) => {
    await gotoAutomate(page);
-    await expect(page.getByRole("button", { name: /add step/i })).toBeVisible();
+    await expect(page.getByPlaceholder("Search tools...")).toBeVisible();
  });

  test("has Process button (disabled when no steps or file)", async ({ loggedInPage: page }) => {
@@ -116,17 +118,18 @@ test.describe("Automate Page", () => {

  // --- Add Step ---

-  test("clicking Add Step opens tool picker", async ({ loggedInPage: page }) => {
+  test("tool palette is visible with search", async ({ loggedInPage: page }) => {
    await gotoAutomate(page);
-    await page.getByRole("button", { name: /add step/i }).click();
-    await expect(page.getByText("Add a step")).toBeVisible();
+    await expect(page.getByPlaceholder("Search tools...")).toBeVisible();
  });

  test("selecting a tool from picker adds a step", async ({ loggedInPage: page }) => {
    await gotoAutomate(page);
    await addToolStep(page, "Resize", 1);
    // Verify empty state is gone
-    await expect(page.getByText(/add steps to build your pipeline/i)).not.toBeVisible();
+    await expect(
+      page.getByText(/add tools from the palette|add steps to build your pipeline/i),
+    ).not.toBeVisible();
  });

  test("can add multiple steps", async ({ loggedInPage: page }) => {
@@ -25,7 +25,7 @@ function getCountText(): string {
 describe("BentoGrid", () => {
  it("renders the section heading", () => {
    render(<BentoGrid />);
-    expect(screen.getByText("40+ tools. Zero cloud dependency.")).toBeDefined();
+    expect(screen.getByText("47 tools. Zero cloud dependency.")).toBeDefined();
  });

  it("renders the search input", () => {
@@ -36,12 +36,12 @@ describe("BentoGrid", () => {
  it("shows all tools by default", () => {
    render(<BentoGrid />);
    const text = getCountText();
-    expect(text).toMatch(/Showing 46 of 46 tools/);
+    expect(text).toMatch(/Showing 47 of 47 tools/);
  });

  it("renders category filter pills including All", () => {
    render(<BentoGrid />);
-    expect(screen.getByText((_, el) => el?.textContent === "All (46)")).toBeDefined();
+    expect(screen.getByText((_, el) => el?.textContent === "All (47)")).toBeDefined();
    expect(screen.getByText(/Essentials/)).toBeDefined();
    expect(screen.getByText(/AI Tools/)).toBeDefined();
    expect(screen.getByText(/Optimization/)).toBeDefined();
@@ -53,7 +53,7 @@ describe("BentoGrid", () => {
    fireEvent.change(input, { target: { value: "resize" } });
    expect(screen.getByText("Resize")).toBeDefined();
    const text = getCountText();
-    expect(text).toMatch(/Showing \d+ of 46 tools/);
+    expect(text).toMatch(/Showing \d+ of 47 tools/);
    expect(screen.queryByText("OCR / Text Extraction")).toBeNull();
  });

@@ -62,7 +62,7 @@ describe("BentoGrid", () => {
    const aiButton = screen.getByText(/AI Tools/);
    fireEvent.click(aiButton);
    const text = getCountText();
-    expect(text).toMatch(/Showing 13 of 46 tools/);
+    expect(text).toMatch(/Showing 14 of 47 tools/);
    expect(screen.getByText("Remove Background")).toBeDefined();
    expect(screen.queryByText("Resize")).toBeNull();
  });
@@ -73,7 +73,7 @@ describe("BentoGrid", () => {
    fireEvent.change(input, { target: { value: "xyznonexistent" } });
    expect(screen.getByText("No tools found. Try a different search.")).toBeDefined();
    const text = getCountText();
-    expect(text).toMatch(/Showing 0 of 46 tools/);
+    expect(text).toMatch(/Showing 0 of 47 tools/);
  });

  it("combines search and category filter", () => {
@@ -89,9 +89,9 @@ describe("BentoGrid", () => {
  it("clicking All resets category filter", () => {
    render(<BentoGrid />);
    fireEvent.click(screen.getByText(/AI Tools/));
-    expect(getCountText()).toMatch(/Showing 13 of 46 tools/);
-    fireEvent.click(screen.getByText((_, el) => el?.textContent === "All (46)"));
-    expect(getCountText()).toMatch(/Showing 46 of 46 tools/);
+    expect(getCountText()).toMatch(/Showing 14 of 47 tools/);
+    fireEvent.click(screen.getByText((_, el) => el?.textContent === "All (47)"));
+    expect(getCountText()).toMatch(/Showing 47 of 47 tools/);
  });

  it("renders each tool with name and description", () => {
@@ -159,7 +159,7 @@ describe("Pricing", () => {

  it("renders free plan features", () => {
    render(<Pricing />);
-    expect(screen.getByText("All 40+ image processing tools")).toBeDefined();
+    expect(screen.getByText("All 47 image processing tools")).toBeDefined();
    expect(screen.getByText("Unlimited usage, no hidden caps")).toBeDefined();
    expect(screen.getByText("14 local AI models included")).toBeDefined();
    expect(screen.getByText("AGPL-3.0 licensed")).toBeDefined();