1. passport-photo 404 vs 501: add base route at /api/v1/tools/passport-photo
that returns 501 FEATURE_NOT_INSTALLED when the AI bundle is missing,
matching other AI tools. The /generate sub-route is Sharp-only (no
sidecar) so it correctly skips the isToolInstalled guard.
2. AuthGuard analytics consent race: don't evaluate shouldShowConsent()
until analyticsConfig has been fetched (guard on analyticsConfig !== null).
Prevents redirect to /analytics-consent before config is loaded.
3. Fragile sidebar Settings selector: add openSettings(page) helper to
E2E helpers that checks sidebar visibility with fallback to button role.
Replace all 134 occurrences of page.locator("aside").getByText("Settings")
across 18 test files.
- Add Cloudflare Pages deployment for landing page (snapotter.com) and
docs (docs.snapotter.com)
- Create deploy-landing.yml and update deploy-docs.yml workflows
- Update CI to ignore apps/landing/** paths
- Fix logo transparency (remove white background) across all apps
- Recreate social-preview.png with SnapOtter branding
- Update all docs URLs from GitHub Pages to docs.snapotter.com
- Update VitePress config: light theme default, fix llms.txt paths
- Add .vitepress/cache/ and .env.* to gitignore
- Convert all AI bridge inputs to PNG before writing to disk so PIL can
read AVIF/WebP/TIFF (7 bridge files; face-detection and OCR already
had this pattern)
- Add title/author aliases to edit-metadata schema so common field names
actually write EXIF tags instead of being silently stripped by Zod
- Port extend/pad crop logic from passport-photo single endpoint to the
batch pipeline so crop regions extending beyond the image get filled
with background color instead of producing all-white output
- Clamp quantized color channels to 255 in color-palette to prevent
Math.round(255/16)*16=256 from producing invalid hex like #100100100
- Compare OCR fallback warning against expected engine name per tier
instead of comparing engine name against tier name (always mismatch)
Extends the platform to handle 7 new image format families alongside
the existing AVIF support gap-fill. Uses the established HEIC decoder
pattern (CLI decode → PNG → Sharp) for formats Sharp can't handle
natively: Camera RAW via dcraw_emu/LibRaw, PSD/TGA/EXR/HDR via
ImageMagick. JXL and ICO are Sharp-native. Adds server-side preview
for non-browser-displayable formats and JXL as a new convert output
target. All 27 validateImageBuffer callers updated with filename for
extension-based format detection.
The guard was only present on restore-photo.ts and the createToolRoute
factory. All other AI tools used custom route handlers that bypassed
the check entirely, allowing requests to reach the Python sidecar even
when the feature bundle was not installed. This adds an early 501
response before any multipart parsing or file processing.
- Replace [object Object] errors with readable messages across all 20+ API
routes by normalizing Zod validation errors to strings (formatZodErrors)
- Add parseApiError() on frontend to defensively handle any details type
- Add global Fastify error handler with full stack traces in logs
- Fix image-to-pdf auth: Object.entries(headers) → headers.forEach()
- Fix passport-photo: safeParse + formatZodErrors, safe error extraction
- Fix OCR silent fallbacks: log exception type/message when falling back,
include actual engine used in API response and Docker logs
- Fix split tool: process all uploaded images, combine into ZIP with
subfolders per image
- Fix batch support for blur-faces, strip-metadata, edit-metadata,
vectorize: add processAllFiles branch for multi-file uploads
- Docker: LOG_LEVEL=debug, PYTHONWARNINGS=default for visibility
- Add Playwright e2e tests verifying all fixes against Docker container
- Zoom now controls the actual crop: zoom in = tighter crop, zoom out = more body
- Drag adjusts face position within the frame
- Backend receives zoom value and applies the same zoomed crop
- Download produces exactly what the user sees on the canvas
- Zoom range 0.5x-3x (can zoom out to show more body)
- "What you see is what you download" label
- Added "Custom Dimensions" option in country dropdown with width/height inputs
- Added DPI control (72-600, default 300) for all specs
- Backend now uses actual bg-removed image dimensions for crop computation,
scaling landmark coordinates when dimensions differ from the original
- Dropdown background uses explicit bg-white/dark:bg-zinc-900 classes
- Backend supports customWidthMm, customHeightMm, and dpi in generate request
- Backend now pads the image with background color when crop region extends
beyond image bounds, instead of clamping (which cut off heads)
- Dropdown uses explicit bg-white/dark:bg-zinc-900 instead of CSS variable
that was transparent on some themes
- Added "Scroll to zoom" hint on the right pane canvas
- Fixed file size compression loop to use padded source image
* feat(passport-photo): add passport specs database and tool constants
* feat(passport-photo): add MediaPipe FaceMesh landmark detection script
* feat(passport-photo): add TypeScript bridge for face landmark detection
* feat(passport-photo): add API routes with analyze and generate endpoints
* fix(passport-photo): accept landmarks from request body and fix pixel coordinate conversion
- Generate endpoint now accepts landmarks + imageWidth/imageHeight in request body
instead of re-running AI face detection (makes generate phase instant)
- Fixed bug where normalized landmark coordinates (0-1) were used directly
as pixel values in crop computation - now properly multiplied by imgW/imgH
- Fixed same bug in pipeline process function
* feat(passport-photo): add UI component with live preview and compliance overlay
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Co-authored-by: stirling-image <stirling-image@users.noreply.github.com>
SnapOtter