Lands five integrated branches: pipeline templates (#355), analytics opt-out (#354), 83 conversion presets bringing the catalog to 240 tools (#356), self-hosted positioning (#353), and e2e modernization (#351).
Integration fixes: aligned stale web analytics tests with the opt-out/allow-list model, closed 3 CodeQL incomplete-sanitization alerts in the i18n generator, resolved settings/index/docs/format-matrix conflicts, and corrected tool counts to 240.
The fifth user-facing group is now Image, Video, Audio, PDF, Files
(internal modality id stays "file"; section.ts "files" was already
"Files"). Updates modality.ts label + comment, all 21 i18n locales
(categories.data "Data Files"->"Files", modalities.documentsAndFiles
"PDF & Data"->"PDF & Files", dead homePage.data), landing cards/hero
search/tools filter, docs headings, and e2e modality-tab assertions
(/^Data/ -> /^Files/, which had been failing).
* fix(media): mux container-correct codecs in video tools
Video tools hardcoded H.264 (and AAC) while keeping the input's container extension, so a .webm input produced an invalid file (ffmpeg exit 234: H.264 cannot be muxed into WebM). Add shared videoEncodeArgsForContainer/audioEncodeArgsForContainer helpers (vp9+opus for webm, theora+vorbis for ogv, h264+aac otherwise) and apply them across 14 tools; re-encode audio to AAC in burn-subtitles (forced mp4). Adds a webm regression test for change-fps.
* fix(eraser): recover Object Eraser when its progress SSE drops
The eraser used a bespoke EventSource with no recovery, so a dropped SSE left the UI stuck at ~25% forever even though the backend job had finished and saved its result. Add a resilient subscription (reconnect on tab refocus, which replays the cached terminal frame; 5-minute stall timeout) mirroring the standard processor's PR #203/#204 recovery.
* feat(ui): rename the Documents modality to PDF and Data to Files
Updates modality display names, the home-page tabs, the tool-page breadcrumb, and the homePage.documents/data + modalities labels across all 21 locales. URL slugs are unchanged for link stability.
* feat(compress-pdf): add quality and target-size compression modes
Mirror the image Compress tool: a quality slider (1-100) and a target file size, replacing the screen/ebook/printer preset. Adds gsCompressPdfQuality to doc-engine (quality maps to image downsample DPI, the dominant size lever for PDFs); target-size binary-searches the DPI for the highest quality under the target. The frontend reuses the shared CompressControls component, so no new translation strings are needed.
* feat(ocr-pdf): show the PDF preview and extracted text side by side
ocr-pdf fell back to the image viewer, which cannot render a PDF, so the right pane showed 'Preview not available' and the extracted text was only a download. It now uses a custom results view (custom-results display mode) rendering the input PDF via pdf.js (DocumentView gains an inputOnly prop, since the tool's output is a .txt) next to the extracted OCR text, with a copy button.
* feat(ui): link the modality breadcrumb to its tools tab
The modality segment of the tool breadcrumb (PDF, Image, Video, Audio, Files) is now a link to /?modality=<tab>. The home page reads the param, activates the matching tab, and cleans the URL, so it returns to the existing Tools page filtered to that modality without a new page. Handles the file modality whose tab key is 'data'.
* feat(circle-crop): add zoom/offset framing, border, background, and output size
Upgrade the circle-crop tool from a bare centered crop into a framing and
styling tool. New settings (all backward-compatible with the old empty
payload):
- zoom (1-5x) plus offsetX/offsetY (0-1) to control how tight the circle is
and where it sits in the source image
- borderWidth (0-200px) plus borderColor for an optional ring
- background: transparent (clear corners) or a hex fill
- outputSize for a square output; omitted keeps native size
The settings panel gains an inline draggable circular preview that mirrors
the framing live, a zoom slider, a border slider with color, a
transparent/color background toggle, and an output-size field. Adds an
integration test covering output size, border, and a solid background.
* feat(image-tools): flesh out five thin tools (gif-webp, histogram, favicon, color-palette, lqip)
Tier A of the image-tool depth pass. Each of these was as bare as the old
circle-crop (empty settings, opaque or invisible output). Now:
- gif-webp: quality, lossless, and resize-percent controls; shows before/after size
- histogram: returns full per-channel bins + stats; the settings panel renders an
inline interactive histogram with R/G/B/Luma toggles, linear/log scale, and a
mean/median/stdev readout (server PNG still downloadable)
- favicon: background fill, padding, corner-radius, theme color, and a per-size
checklist, with a live preview grid; the route applies the styling and honors
the size filter
- color-palette: count (2-16) and hex/rgb/hsl format controls, median-cut
extraction, a palette strip, and CSS/JSON export
- lqip-placeholder: blur/pixelate/solid strategies, format and quality; the
output panel now surfaces the data URI with copy plus HTML/CSS snippets and a
preview (previously the deliverable was never shown)
Also expose resultPayload from useToolProcessor so a tool can render the route's
extra result fields (histogram bins, lqip data URI) in its own panel. Updates the
five integration tests to cover the new settings.
* feat(image-tools): deepen five thin tools (duotone, vignette, pixelate, background-replace, blur-background)
Tier B of the image-tool depth pass.
- duotone: preset palettes, an intensity slider that blends the duotone with
the original, and a true live duotone preview (a self-contained grayscale +
lighten/darken overlay so the pane filter cannot wash it out)
- vignette: radius, softness, roundness, and center-x/y controls driving a
rebuilt radial gradient, with a matching live overlay
- pixelate: a selection mode that exposes the route's region support via a
draggable box over the image plus width/height sliders, so a face or plate
can be pixelated in isolation
- background-replace: gradient backgrounds, edge feather, and webp output on top
of the existing solid color; now shown before/after
- blur-background: edge feather and webp output; now shown before/after
The live previews for duotone and vignette needed onImageStyle to mount the
overlay branch in image-viewer. The duotone intensity blend and both AI tools'
edge feather were rewritten to splice the alpha channel through raw buffers;
joinChannel did not reliably re-tag the merged channel as alpha and a
raw-without-encoder buffer broke the next decode. Updates the five integration
tests.
* fix(data): rename Files modality to Data + 20 Data-tool bug fixes (#247)
* fix(ui): restore the Data modality name (revert Files rename)
The 'file' modality reverts to the 'Data' label in modality.ts, the home-page tab, and the tools.data + documentsAndFiles i18n keys across all 21 locales. The separate Documents to PDF rename is kept. The URL slug was already /data, so name and slug realign; the tool breadcrumb follows modality.ts automatically.
* fix(create-zip): require at least two files before enabling submit
create-zip enabled its submit button with a single file, but the backend rejects fewer than two files ('Zipping needs at least two files'), producing a 422 error. Gate the button on files.length >= 2 to match the sibling merge-csvs tool. Found during the Data-modality QA sweep.
* fix(data): resolve 17 bugs found in a deeper Data-tool review
Crashes (threw an internal error on otherwise-valid input):
- csv-json: a primitive JSON array like [1,2,3] threw "Unable to serialize"; now a clear error.
- json-xml: a null or primitive JSON root crashed the XML builder; now a clear 4xx.
- yaml-json: an empty or comment-only YAML returned undefined and threw on Buffer.from; now emits null.
Data loss / wrong output:
- csv-json: nested objects rendered as "[object Object]" (now serialized to JSON); heterogeneous objects dropped columns (now the union of all keys).
- xml-to-csv: leaked fast-xml-parser markers ("@_" on attributes, "#text") into CSV headers (now cleaned); a single-record XML failed to tabulate (now a 1-row table); heterogeneous records dropped columns (now the union of all keys).
- csv-excel: xlsx date cells were rendered in the server timezone via Date.toString (now ISO 8601, round-trippable).
- create-zip and extract-zip: filename/basename collisions overwrote zip entries and silently lost a file; dedup now checks generated names and guarantees uniqueness.
- chart-maker: negative values produced invalid/degenerate SVG that Sharp silently dropped; now rejected with a clear message.
Empty output / validation:
- split-csv: a header-only CSV produced an empty zip; now errors with "No data rows to split".
- extract-zip: a directory-only zip produced an empty zip; now errors with "No extractable files found".
- create-zip and merge-csvs: a single-file request fell through to the worker and returned 422; the factory now supports minInputs and returns 400 pre-enqueue.
UI:
- review-panel: the result card showed "Saved +X%" when the output grew; the savings row now appears only when the file is actually smaller (Original/Processed sizes always shown).
Found via two adversarial code-review passes over the 10 Data routes. All 24 fix + regression checks pass against a fresh Docker stack on :1359.
* fix(data): clean 400 for unsafe-zip entries; drop header on split keepHeader=false
- tool-factory: add an opt-in preValidate hook that runs after input prep and
before enqueue. Throwing InputValidationError there returns its statusCode
(400) instead of the worker's generic 422. BullMQ loses the error class across
the job boundary, so InputValidationErrors thrown in the worker cannot be
mapped to their status; pre-enqueue validation can.
- extract-zip: validate entry paths via preValidate, rejecting path-traversal
and absolute-path archives (and unreadable/corrupt zips) with a clear 400. The
processV2 guards remain as defense-in-depth for the pipeline/batch path.
- split-csv: keepHeader=false now drops the header (parts contain only data
rows) instead of keeping it as the first data row of part-1.
Verified against a fresh Docker stack: unsafe / absolute / corrupt zips -> 400,
normal zip still 200; split keepHeader=false drops the header while true repeats
it in each part. No regressions across 51 fix + scenario checks.
* feat(image-tools): deepen image-pad and sprite-sheet, fix sprite-sheet multi-file submit
Tier C of the image-tool depth pass.
- image-pad: a custom W:H ratio alongside the presets, a background mode
(solid color, transparent, or an Instagram-style blurred cover fill), and an
extra padding margin. The settings panel gains a real live preview of the
padded canvas (it previously declared live-preview but rendered nothing) via
onImageStyle + onImageOverlay.
- sprite-sheet: PNG/WebP/JPEG output with a quality control, and the coordinate
map it already computes is now returned and surfaced as Copy CSS (per-frame
background-position rules) and Copy JSON exports.
Also fix a pre-existing sprite-sheet bug: with more than one image the panel
called processAllFiles, fanning out to the per-file batch route (422). It now
calls processFiles, which packs all images into a single sheet request (it is a
MULTI_FILE tool). Updates both integration tests.
* fix(media): preserve source sample rate after loudnorm (#243)
ffmpeg's loudnorm filter runs internally at 192 kHz and emits 192 kHz
unless the chain resamples back. normalize-audio and video-loudnorm
therefore produced 192 kHz output (4.3x larger files) regardless of the
input rate. Append aresample to restore the input's sample rate.
runMediaTool now exposes the input audio sample rate to its args callback.
* fix(color-palette): collapse solid-color images to one swatch
The median-cut bucket selector started bestRange at -1, so a uniform bucket
(range 0) still satisfied the > comparison and kept splitting, yielding N
identical swatches for a solid-color image. Start at 0 so only buckets with
real color spread are split.
* fix(lint): annotate implicit-any lets in saml and user-files
biome noImplicitAnyLet flagged the bare let in saml.ts (profile) and user-files.ts (stream); add derived type annotations (type-only, no behavior change). Latent on main via the turbo lint cache; surfaced when the Data changes busted the apps/api lint cache.
Closes the "e2e never runs in CI" hole. Adds per-PR e2e smoke gate,
nightly full-suite workflows, parallel vitest forks (per-fork DBs),
Playwright parallel/serial/visual projects against production builds,
metadata-generated test suites (drift guards, hostile inputs, format
matrix, pairwise settings, property-based fuzz), Stryker mutation
testing, Schemathesis API fuzz, coverage ratchet, and fixes for three
session-poisoning bugs that caused 200+ serial-bucket failures.
Bug fix included: favicon/split/bulk-rename could hang clients forever
when ZIP streaming failed after reply.hijack().
- Fix selective metadata stripping (P1): use Sharp's keepExif()/keepIccProfile()
instead of broken withMetadata({}) that preserved everything
- Fix meme font mapping (P1): add ArchivoBlack and ComicNeue fonts, map
arial-black and comic-sans to correct TTF files instead of Anton
- Fix meme contentType (P2): detect actual output format from Sharp metadata
instead of hardcoding image/png
- Fix info/text-overlay/color-palette i18n (P2): wire up existing translation
keys that were imported but never used
- Fix info and color-palette displayMode (P2): change from before-after to
no-comparison since neither tool produces a processed image
- Add missing i18n keys across all 21 locales
- Update displayMode test assertions
Background images, device frames, custom shadows, and watermark text
were not rendering in the right-pane preview. The preview now updates
in real time for all settings: gradient/solid/image backgrounds, macOS/
Windows/Browser frame chrome, iPhone/MacBook/iPad frame indicators,
custom shadow parameters, and watermark text overlay.
Also fixes a React StrictMode effect-ordering race where the parent
tool-page reset cleared preview state set by the child Settings
component on initial mount.
The meme generator had everything in one component crammed into the
narrow right sidebar. This splits it into the proper two-panel
architecture (like collage/qr-generate):
- meme-store.ts: shared Zustand store for all meme state and actions
- meme-generator-preview.tsx: ResultsPanel (main area) with gallery,
layout picker, editor preview with CSS text overlay, and result view
- meme-generator-settings.tsx: Settings sidebar with text inputs, font
picker, colors, alignment, and generate button
- tool-registry.tsx: adds ResultsPanel to the meme-generator entry
Also fixes text overlay sizing (reduced from 0.6cqi to 0.45cqi with
smaller stroke width) and moves font injection to a standalone function
callable from either component.
The content-aware-resize tool had a full backend implementation (API route,
caire binary, seam-carving bridge) but was missing from the frontend
toolRegistry Map. Navigating to /content-aware-resize showed "Tool not found"
because ToolPage could not resolve a registry entry for the tool ID.
Added a dedicated ContentAwareResizeSettings component and registered it in
the tool registry with side-by-side display mode. Also added a guard test
that verifies every tool in the shared TOOLS[] array has a matching registry
entry, preventing this class of bug from recurring.
Closes#131
Apply stash from feat/border-redesign branch. Rewrites collage backend
with improved layout engine and adds CollagePreview results panel for
interactive preview. Updates tool registry to use no-dropzone display
mode with the new preview component.
* feat(image-to-base64): register tool in shared constants and i18n
* feat(image-to-base64): add API route with Sharp pipeline and base64 encoding
* feat(image-to-base64): add Zustand store for base64 results
* feat(image-to-base64): add settings panel component
* feat(image-to-base64): add results panel with 6-tab output and batch accordion
* feat(image-to-base64): register tool in frontend tool registry
* fix(image-to-base64): pass through original buffer when no resize/conversion needed
---------
Co-authored-by: stirling-image <stirling-image@users.noreply.github.com>
* 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
---------
Co-authored-by: stirling-image <stirling-image@users.noreply.github.com>
Add comprehensive photo restoration tool that chains multiple AI models:
- Scratch/tear/spot detection via morphological analysis (top-hat/black-hat transforms)
- Damage inpainting via LaMa ONNX model (reuses existing infrastructure)
- Face enhancement via CodeFormer ONNX (~377MB, from facefusion/models-3.0.0)
- Noise reduction via OpenCV NLMeans in LAB color space
- Optional B&W auto-colorization via DDColor (reuses existing model)
Settings: 3 restoration modes (Light/Auto/Heavy), individual feature toggles
for scratch removal, face enhancement (with fidelity slider), denoising
(with strength slider), and auto-colorize. Before/after comparison view.
Handles HEIC, HEIF, and all standard formats. Batch processing supported.
No new Python dependencies - reuses onnxruntime, cv2, mediapipe, PIL.
Co-authored-by: stirling-image <stirling-image@users.noreply.github.com>
* feat(shared): add enhance-faces tool definition and i18n strings
* feat(ai): add face enhancement script with GFPGAN and CodeFormer support
Detects faces via MediaPipe dual-model approach, then enhances using
GFPGAN (proven) or CodeFormer (via codeformer-pip) with auto fallback.
Supports strength-based alpha blending with original image.
* feat(ai): add TypeScript bridge for face enhancement
* feat(api): add enhance-faces route with GFPGAN/CodeFormer support
* feat(web): add enhance-faces settings component and register in tool registry
* feat(docker): add CodeFormer dependency and model download
- Add codeformer-pip to both CPU and GPU requirements
- Download CodeFormer model (~375MB) at Docker build time
- Add CodeFormer to smoke test verification
* fix(enhance-faces): address code review findings
- Skip alpha blend for CodeFormer (strength already applied via fidelity weight)
- Hide "only enhance main face" checkbox when Best (CodeFormer) is selected
- Fix sensitivity slider labels (swap More/Fewer faces to match actual behavior)
- Register EnhanceFacesControls in pipeline step settings
- Remove model names from user-facing descriptions
* fix(enhance-faces): fix CodeFormer integration and Docker setup
- Add codeformer-pip install to Dockerfile with --no-deps to avoid numpy 2.x conflict
- Re-pin numpy==1.26.4 after codeformer-pip install
- Pin codeformer-pip==0.0.4 in requirements files
- Broaden auto-mode fallback to catch any Exception from CodeFormer
---------
Co-authored-by: stirling-image <stirling-image@users.noreply.github.com>
* feat(noise-removal): register tool in shared constants and i18n
* feat(noise-removal): add SCUNet and NAFNet model architectures
* feat(noise-removal): add Python denoising engine with 4 quality tiers
* feat(noise-removal): add TypeScript bridge for Python sidecar
* feat(noise-removal): add frontend settings with 4-tier selector
* feat(noise-removal): register in tool registry and pipeline
* feat(noise-removal): add Fastify API route with Zod validation
* feat(noise-removal): add SCUNet and NAFNet model downloads to Docker build
* test(noise-removal): add to e2e tool page rendering tests
* test(noise-removal): add integration tests for API endpoint
* style: fix biome formatting and import ordering
* fix(noise-removal): use correct model download URLs
NAFNet model is hosted on HuggingFace, not GitHub releases.
Also align SCUNet URL to use the KAIR releases (same as Docker build).
* fix(noise-removal): remove emojis from tier selector, simplify labels
Drop emoji icons from Quick/Balanced/Quality/Maximum buttons. Replace
technical algorithm names with plain descriptions users can understand.
---------
Co-authored-by: stirling-image <stirling-image@users.noreply.github.com>
Add AI-powered photo colorization that converts B&W/grayscale images to
full color using DDColor (ICCV 2023 dual-decoder architecture) via ONNX
Runtime. Includes model selection (Auto/DDColor/Classic), adjustable color
intensity, batch processing, before/after preview, and full HEIC/HEIF support.
Co-authored-by: stirling-image <stirling-image@users.noreply.github.com>
* feat(image-enhancement): add analysis and correction types
* feat(image-enhancement): implement auto-enhance analysis and correction engine
* test(image-enhancement): add unit tests for auto-enhance engine
* feat(image-enhancement): add API route with analyze endpoint and register in constants/i18n
* feat(image-enhancement): add UI component with mode selector, intensity slider, and analysis badges
* test(image-enhancement): add integration and e2e tests
* fix(image-enhancement): use modulate instead of gamma for exposure correction
Sharp's gamma() only accepts values between 1.0 and 3.0, but brightening
underexposed images computed gamma < 1.0. Switch to modulate({ brightness })
which handles both brightening and darkening correctly.
---------
Co-authored-by: stirling-image <stirling-image@users.noreply.github.com>
Remove Background:
- Two-phase flow: AI removes bg once, then effects adjust instantly
- Blur background effect with real-time CSS preview (portrait mode)
- Drop shadow effect with opacity control
- Gradient backgrounds with presets, custom colors, and angle
- Custom background image upload (including HEIC/HEIF)
- Solid color backgrounds moved from Python to Node.js/Sharp
- Effects-only API endpoint for instant re-renders without AI re-run
- HEIC/HEIF input support (decoded before passing to Python/rembg)
- Passport/ID photo checkbox defaults ON for People subject
- Before/after slider preserved when no effects active
- 15 comprehensive Playwright e2e tests
Color Tools:
- Consolidated 4 tools (brightness-contrast, saturation, color-channels,
color-effects) into single "Adjust Colors" tool
- Added exposure, temperature, tint, hue, sharpness controls
- SVG filter-based live preview for all adjustments
- Backward-compatible URL redirects from old tool paths
Other fixes:
- Favicon tool: download button instead of auto-download
- Batch processing: HEIC filename extension fix
- File store: processedFilename field for proper batch downloads
