Fix PaddleOCR crash by removing deprecated parameters (use_angle_cls,
show_log, cls) that were removed in PaddleOCR v3. Add graceful
fallback to Tesseract when PaddleOCR fails at runtime, so users
always get OCR results without errors.
Replace the external mask file upload workflow with an interactive
canvas-based brush tool. Users now paint directly on the image to
mark areas for erasure. Adds EraserCanvas component with adjustable
brush size, undo/clear, and mask export. Switch Python inpainting
from broken lama-cleaner to OpenCV cv2.inpaint (Telea algorithm).
Add before/after comparison slider after processing.
Fix face detection failure caused by MediaPipe 0.10.33 removing the
mp.solutions API. Replace with OpenCV Haar cascade which works reliably
in headless Docker. Add autoOrient() call before detection to handle
EXIF-rotated phone photos. Remove technical jargon from UI.
- Set up semantic-release with zero-touch CI pipeline on push to main
- Add version sync script to keep all package.json files and APP_VERSION
constant in sync automatically
- Consolidate Docker publishing into single tag-triggered workflow that
pushes to both Docker Hub and ghcr.io with semver tags
- Add help dialog with keyboard shortcuts, getting started guide, and
resource links
- Sync all versions to 0.2.1 to match Docker Hub latest
BiRefNet-Lite times out on first load (~60s+ for 973MB model).
U2-Net works in 2 seconds. Users can still select BiRefNet for
higher quality when they're willing to wait. Added timing hints
in model descriptions and increased timeout for BiRefNet models.
- Switch default from birefnet-general (973MB, 4min) to
birefnet-general-lite (faster, still SOTA quality)
- Fix Python script stdout pollution — progress messages now go to
stderr so the JSON result parser doesn't break
- Pre-download birefnet-general-lite in Docker build
- Switch default model from U2-Net to BiRefNet (state-of-the-art)
- Add 6 model options: BiRefNet, BiRefNet Lite, BiRefNet Portrait,
BRIA RMBG, IS-Net, U2-Net
- Add animated progress bar with stage indicators (loading model,
analyzing, removing, refining edges) and elapsed timer
- Add intuitive background color presets (Transparent, White, Black,
Red, Green, Blue) as clickable buttons + custom color picker
- Handle background color compositing in Python (PIL alpha composite)
- Add checkerboard pattern to before/after slider for transparency
- Pre-bake BiRefNet model (973MB) in Docker image for instant use
- Add user management endpoints (register, list, delete, change password)
- Add API key management (create, list, delete)
- Add settings persistence endpoints (get, put)
- Wire settings dialog to real backend (People, API Keys, System, Security)
- Fix login auth flow (window.location.href for full reload)
- Fix download URLs returning 401 (make public since UUIDs are unguessable)
- Fix border tool shadowColor validation (accept 6-8 hex digits)
- Fix remove-bg alpha matting fallback (retry without on failure)
- Fix AI tool silent fallbacks (report errors instead of no-ops)
- Add checkerboard background to before/after slider for transparency
- Add progress bars to all AI tool components
- Add Playwright E2E test suite (131 tests across 9 test files)
- Rewrite Dockerfile for production (tsx runtime, pre-baked AI models)
- Add .dockerignore for faster builds
- Add proper accessible labels to login form
Siddharth Kumar Sah