The demo signs in as an admin on load (no login/change-password screen; /login and /change-password bounce to the dashboard), authEnabled stays true so the People/Teams/Roles/Security settings tabs remain available, the banner notes the admin data is sample data, and the mobile editor icon is an inline SVG so it always renders.
Rewrite the demo mock API around a seeded in-memory dataset with correct response shapes so the People/Teams/Roles/Audit/Usage/API-keys tabs stop crashing (the /auth/users vs /v1/users mismatch caused users.filter() on undefined) and show realistic sample data. In-memory CRUD makes the settings buttons work. Copy edit-image.png into the demo so the mobile editor icon renders. Adds unit shape guards and an e2e admin-settings walkthrough.
Add an OIDC / SSO login line to the Open Source tier and narrow the Enterprise bullet to SAML SSO + SSO enforcement. OIDC login ships in the free open-source build (env-gated, no license); only SAML and SSO enforcement are licensed.
Deep otter-brown Web 1.0 style bar pinned above the fixed navbar (offset via --lb-h), with a localStorage-remembered dismissal and a render-blocking check so returning visitors see no flash. Temporary; remove once 2.0 is old news.
Uninstalling a bundle only deletes its downloaded model weights, never the
shared venv's site-packages, so self-hosters who already hit an AI bundle
conflict (e.g. the scipy ABI strand) have no clean self-service path via
uninstall+reinstall: reinstalling just overlays corrected files on top of
stale ones. Adds POST /api/v1/admin/features/reset, which wipes
/data/ai/{venv,models,pip-cache}, resets installed.json, and reseeds a real
working venv from the image's baked /opt/venv (extracted docker/reseed-ai-venv.sh,
now shared with entrypoint.sh's existing base-venv-upgrade bootstrap instead
of duplicating that logic) -- leaving an empty venv directory here would
make the very next install fail with "spawn .../python3 ENOENT", caught by
testing this live rather than assuming it. Ships with a matching Settings UI
section (inline confirm, same pattern as per-bundle uninstall) and strings
across all 21 locales.
Verified against a real snapotter/snapotter:1.17.2 image migrated to 2.0.0,
with real multi-GB bundles installed (background-removal + OCR): confirmed
the migrated instance's inherited python3.11 venv (2.0.0 itself uses 3.12)
still imports the fixed scipy/numpy/paddleocr correctly, then reset + real
reinstall + actual tool execution (remove-background, verified output image)
all worked end-to-end.
* fix(api): prevent a crash when an over-limit upload stream has no consumer yet
busboy's "limit" handler destroyed the file stream with an error but never
attached its own error listener, relying entirely on whatever consumes
part.file downstream to do so. On a fast enough connection (or a fully
buffered body, e.g. Fastify inject()), busboy can process enough bytes to
hit the size limit before the route handler's receiveUpload() call has
attached its own stream listener, leaving the resulting "error" event with
zero listeners -- which crashes the whole process by default in Node.
Surfaced by tonight's FULL_MATRIX+FUZZ integration run (880 uncaught
exceptions, all the same root cause). Reproduces deterministically in
isolation; unrelated to this release's actual code delta (file untouched
since PR #413, well before the baseline QA pass).
Fix: attach a baseline no-op error listener the moment the stream is
created, guaranteeing at least one listener always exists. EventEmitter
delivers "error" to every registered listener, so the real consumer's own
error handling is unaffected.
* fix(ai-bundles): rebuild upscale-enhance and photo-restoration to reconcile scipy ABI
upscale-enhance and photo-restoration both depend on codeformer-pip, whose
transitive closure (basicsr -> realesrgan -> gfpgan) pulls in an unpinned
scipy. Both bundles were last built ~June 18-19, before PR #437 added the
manifest's `constraints` array (numpy==1.26.4, scipy==1.12.0, etc.) to pin
exactly this kind of dependency during bundle builds. Only the ocr bundle
was rebuilt after that fix landed.
install_feature.py has no pip install step -- it's a raw tarfile extraction
with no cross-bundle conflict resolution, so installing OCR alongside either
stale bundle left three incompatible scipy versions' files mixed in the same
site-packages directory (a compiled _rotation.*.so from one release next to
Python files expecting a different release's API), breaking the `upscale`
tool and OCR's higher-quality tiers with an ImportError.
Rebuilt both bundles for amd64-gpu and arm64-cpu from the current manifest,
verified scipy/scikit-learn/scikit-image/pandas all resolve to the pinned
versions in the tarballs themselves, then verified end-to-end on real
hardware (Mac arm64 CPU and ubuntu_gpu .248 RTX 4070): installing all
affected bundles together now yields exactly one version of each constrained
package, `upscale` produces correct output, and OCR's balanced/best tiers
correctly use PaddleOCR-GPU instead of erroring out.
Published the rebuilt tarballs to the public deepsafe/feature-bundles
HuggingFace repo and updated this manifest's sha256/sizes to match.
Also adds verify-bundle-compatibility.sh: verify-bundle.sh checks each
bundle in isolation (a fresh venv per bundle), which is exactly why this
shipped twice -- nothing ever checked that bundles built at different times
agree once layered into the one shared venv real installs use. The new
script installs every bundle for an arch into one venv and asserts each
constrained package has exactly one, correct version.
Known follow-up (not fixed here, needs separate discussion): uninstalling a
bundle only removes its downloaded model weights, never the site-packages
it added, so existing installations that already hit this bug have no clean
self-service fix via uninstall+reinstall -- they need a full AI-venv wipe.
* fix(docker): bake a real rate limit default for the all-in-one one-liner
The documented single-container `docker run` install had RATE_LIMIT_PER_MIN=0
(effectively unlimited, ~50k/min) baked in, since only docker-compose.yml
carried a hardened override. A self-hoster following the one-liner path got
no meaningful throttling anywhere, including auth-adjacent routes with no
dedicated per-route limit. Bakes a generous-but-real 1000/min default into
the Dockerfile, raises both compose files' fallback to match so the two
documented install paths converge on the same posture, and updates the Zod
schema default plus docs that quoted the old value.
* fix(api): boot log undercounted tool routes by the conversion-preset total
The "Tool routes: N active" line logged before registerConversionPresets(app)
ran, so it only ever reported the base 158 tools, 83 short of the real
241-tool total. Presets have to register after the base loop (they delegate
to each base tool's own processV2), so the fix moves the log line to after
that call and has registerConversionPresets return its count instead of
reordering the dependency.
* fix(ai): forward {info}/{warning} stderr JSON instead of dropping it
The dispatcher stderr parser only recognized {ready} and {progress,stage}
shaped JSON lines; anything else that parsed as valid JSON (like ocr.py's
GPU-to-tesseract downgrade notice, an {"info": ...} line) matched neither
branch and fell through silently, never reaching docker logs. Adds explicit
{info}/{warning} handling that forwards to console.log/console.warn, same as
the existing [prefix]-tagged non-JSON path.
* fix(api): fall back to a lower OCR tier when PaddleOCR itself is unusable
ocr.ts already retries lower quality tiers on a crashed dispatcher, but the
condition only matched crash-style messages (segfault, exited unexpectedly).
ocr.py's own ImportError/exception handlers already produce messages telling
the caller to use a lower tier (e.g. on the scipy ABI conflict class of bug),
but nothing ever acted on them, so a broken PaddleOCR hard-failed with 422
instead of degrading to Tesseract like ocr-pdf effectively does. Broadens the
retry condition to also catch PaddleOCR-engine-unusable messages.
Note: ocr-pdf's tesseract-only behavior turned out to be an unrelated,
pre-existing, deliberate design choice (PaddleOCR segfaults on rasterized PDF
pages on arm64), not a graceful-fallback mechanism to copy -- the two tools
weren't actually solving the same problem, so this fixes ocr.ts's own gap
rather than trying to mirror ocr-pdf.
Adds a click-to-copy Docker quickstart command and a small live-demo button to the landing hero, between the category cards and the stats. Removes the divider above the stats and tightens hero spacing so the stats stay above the fold. New HeroQuickstart.astro is a scoped copy-to-clipboard island (clipboard + execCommand fallback, aria-live, reduced-motion).
* docs: add 1.x-to-2.0 migration guide and upgrade notice
Adds MIGRATING.md with backup and upgrade steps, plus a short
"coming from 1.x?" callout in README and the docs upgrade guide
pointing existing users at it.
* fix: replace stale image-only and pre-rename data copy across product
SnapOtter grew from an image-only tool into a 5-modality suite
(Image, Video, Audio, PDF, Files), but copy in several places never
caught up. Fixes:
- dropzone.defaultFormats (i18n): every non-English locale still had
the pure pre-2.0 image-only format list; English omitted Files
entirely. Corrected across all 21 locales.
- settings.about.appDescription (i18n): "document, and data" workflow
copy updated to "PDF, and file" across all 21 locales.
- constants.ts: Files category's raw name was still "Data Files".
- Landing hero subtitle, JSON-LD schema, llms.txt, and 7 spots in the
competitor-comparison pages.
- Docs: VitePress config, supported-formats, deployment, and an
architecture.md modality-naming nit.
- OpenAPI description, root package.json description/keyword, and a
GitHub issue template dropdown option.
DOCKERHUB.md's separate "v1.x, image tools only" pre-release notice
is left untouched since 2.0 hasn't published to Docker Hub yet.
* test: update dropzone format-hint assertion to match corrected copy
The expected string still had the stale image-only/duplicated
PDF-Documents text from before the dropzone.defaultFormats fix.
Update the Hardware Requirements section with fresh six-machine benchmark data:
- Tiers corrected to the resource-sweep floor (2c/2G minimum; 512MB cannot start,
1GB is single-file-only, batches need 2GB).
- Add the 64-bit-only architecture requirement (Pi 4/5 yes; 32-bit ARM and
512MB boards no).
- Correct the AI-on-CPU viability (colorize/face-enhance are ~10s and usable, not
"marginal to no") and add the AI RAM lever (~360MB idle without bundles vs
~2.6GB with all seven installed).
- Fix bogus GPU speedups (noise-removal/blur-faces are CPU-bound, ~1x, not
13,400x/100x); real wins are upscale ~47x, face-enhance ~12x, transcribe ~4.5x,
remove-bg ~4x; photo-restoration is CPU-bound even on a GPU.
- Call out video transcode as the one CPU-heavy tool; refresh concurrency numbers.
Claude-Session: https://claude.ai/code/session_01UvVCMNUBrgpghk8gye5gav
Save to Files posted only the blob, so userFiles.toolChain stayed null and the library showed "Tools Used: None". Thread the producing toolId through /api/v1/files/upload (validated optional field) and store it as a one-element toolChain, matching the pipeline path.
Claude-Session: https://claude.ai/code/session_01UvVCMNUBrgpghk8gye5gav
* feat(api): parse DATA_DIR from env for 1.x import auto-detection
Claude-Session: https://claude.ai/code/session_01721WHAUGxnVk22qEeTub7w
* test(migrator): build 1.17.2 fixtures by replaying legacy migrations
Discovered the legacy migrations seed a Default team (0005) and builtin roles
(0007), so the replayed fixture carries them. Seed uses a distinct custom team.
Claude-Session: https://claude.ai/code/session_01721WHAUGxnVk22qEeTub7w
* fix(migrator): self-adjusting column copy, jobs.status map, drop sessions, advisory lock
The importer now inserts only the intersection of source and live target columns,
so the three analytics_* columns 2.x dropped no longer break the first users INSERT
(and future dropped columns are handled generically). jobs.status is mapped onto the
2.x enum (error->failed). Sessions are no longer migrated. A pg_advisory_xact_lock
serializes concurrent replicas. Includes login-after-migrate and library assertions.
Claude-Session: https://claude.ai/code/session_01721WHAUGxnVk22qEeTub7w
* test(migrator): CI drift guard fails when a required column is unfillable from 1.17.2
Introspects every NOT-NULL-no-default column of each migrated table in the current
schema and asserts the engine can fill it from a real 1.17.2 source. Turns a future
breaking schema change into a PR-time failure instead of a production import break.
Claude-Session: https://claude.ai/code/session_01721WHAUGxnVk22qEeTub7w
* feat(migrator): orchestrator with detection, boot states, marker, blob count
sqlite-import.ts owns source resolution (explicit path, 'off' sentinel, DATA_DIR
probe), the four boot states (import/leftover/locked/none), the persisted
sqlite_import marker, and a read-only library-blob count. runBootImport wires them
together and catches TargetNonEmptyError as a benign multi-replica skip.
Claude-Session: https://claude.ai/code/session_01721WHAUGxnVk22qEeTub7w
* feat(api): route boot through the 1.x import orchestrator; hide marker from non-admins
index.ts now calls runBootImport (which owns detection + the four boot states)
instead of the inline SQLITE_MIGRATE_PATH block. The sqlite_import marker is added
to SENSITIVE_KEYS (but not REDACTED_KEYS) so admins see the counts for the banner
while non-admins don't see the key at all.
Claude-Session: https://claude.ai/code/session_01721WHAUGxnVk22qEeTub7w
* feat(migrator): add analyzeSqlite + dry-run/verify CLI
analyzeSqlite is a read-only pre-flight (no live Postgres): per-table row counts,
library-blob presence, and out-of-enum job statuses. The migrate:sqlite CLI now
lives in the orchestrator and supports --dry-run/--verify (prints the analysis and
exits without writing) alongside the existing import and --force.
Claude-Session: https://claude.ai/code/session_01721WHAUGxnVk22qEeTub7w
* docs: add 1.x to 2.0 upgrade guide; fix volume-name casing
New apps/docs upgrade guide covering auto-detect, the SQLITE_MIGRATE_PATH override +
off opt-out, the dry-run, what carries over, locked-state recovery, and non-destructive
rollback. Leads with 'back up the WHOLE /data volume, not just snapotter.db' because
1.x WAL mode leaves data in snapotter.db-wal (surfaced by the real-image upgrade test).
Standardizes README/DOCKERHUB compose volume names on the canonical SnapOtter-data
casing so they match the repo compose and don't orphan an upgrader's volume.
Claude-Session: https://claude.ai/code/session_01721WHAUGxnVk22qEeTub7w
* feat(web): admin 1.x migration banner + 21-locale strings
A one-time admin banner reads the sqlite_import marker from /v1/settings and shows
the import result (user + saved-file counts) on success, or a warning when a 1.x
database was found but not imported. Dismissal persists to a sqlite_import.dismissedAt
settings key. shouldShowMigrationBanner/parseMigrationMarker sit in feedback.ts with
the other shouldShow helpers; strings added to en.ts and all 20 other locales.
Claude-Session: https://claude.ai/code/session_01721WHAUGxnVk22qEeTub7w
* style(landing): biome-format Hero.astro trustBadges array
Pre-existing formatting drift on main (its Lint check was skipped on the merge that
introduced it); this PR's full Lint run surfaced it. Formatting-only, applied via
the repo's own biome formatter to unblock the required Lint check.
Claude-Session: https://claude.ai/code/session_01721WHAUGxnVk22qEeTub7w
Retitle the homepage hero to "File processing for privacy-sensitive
teams", drop the redundant infrastructure subline, and trim the trust
badges to the four foundational signals (self-hosted, open source,
air-gap capable, compliance-friendly).
Align the homepage title and meta description to the new positioning,
overriding the site-wide defaults for the homepage only.
Claude-Session: https://claude.ai/code/session_01EhgRGhvhNGJVQHcdFdcNMa
Apply the always-on handoff to the failed-run Report issue button too. Un-gate the two buttons in tool-page.tsx from the analytics toggle, and extend the dialog offline handoff to source=failed_job, prefilling the GitHub issue with the tool id and error category so it is actionable even with an empty message. Follows #428.
Claude-Session: https://claude.ai/code/session_01XVrHKXwzZDWBWgkGQdPZ3A
Keep the top-nav feedback button always visible (icon plus label on desktop, icon-only on mobile) instead of hiding it when an instance opts out of analytics. When analytics is off, the dialog keeps the typed message and hands off to a prefilled GitHub issue plus a contact@snapotter.com email, with no fake Thanks. Adds a feedback.yml issue template, URL builders, and feedback strings across all 21 locales.
Claude-Session: https://claude.ai/code/session_01XVrHKXwzZDWBWgkGQdPZ3A
Adds a prominent Keep it free sponsor button to the top nav, linking to https://github.com/sponsors/snapotter-hq. Solid orange pill on desktop (left of the avatar), orange heart icon on mobile. Opens in a new tab with rel=noopener noreferrer, so no referrer or user data leaks, and it adds no passive network activity (offline-mode compatible). Fires an opt-in, property-less sponsor_clicked analytics event. Adds sidebar.sponsor and a11y.sponsorLink across all 21 locales.
Claude-Session: https://claude.ai/code/session_01DnYLLA5z4Uf1GDeEPENVgr
Server stops phoning Sentry home after opt-out (release-health sessions + client reports off); settings saves diff-send only changed keys so a stale tab cannot revert an instance-wide opt-out; disabling analytics hides the feedback UI immediately; optIn resumes PostHog after re-enable; onboarding survey writes time out at 15s; inline tool-feedback prompt arms a shown-cooldown.
* fix: remove all automatic third-party egress (OSM tiles, Scalar fonts, editor Google Fonts, AI model download fallbacks)
Phone-home audit follow-up. The product no longer makes any automatic
third-party request; user-initiated click-outs stay, and production now
fails closed on missing AI models.
1. GPS leak via OSM tiles: the strip-metadata panel auto-loaded
tile.openstreetmap.org tiles encoding the photo's GPS position. The
Leaflet mini-map is gone; coordinates render as text plus an explicit
View on map link (openstreetmap.org, opens on click only). Removed
tile.openstreetmap.org from the CSP img-src, dropped the leaflet
dependency, added the viewOnMap i18n key to all 21 locales.
2. Scalar docs fonts: /api/docs loaded Inter and JetBrains Mono from
fonts.scalar.com. Scalar now renders with withDefaultFonts: false and
both --scalar-font and --scalar-font-code pinned to system stacks;
fonts.scalar.com removed from the docs CSP font-src. Verified by
injecting GET /api/docs/: config carries withDefaultFonts false and
the served page has no fonts.scalar.com reference.
3. Editor Google Fonts: the editor font picker built
fonts.googleapis.com stylesheet URLs for 25 web fonts the served CSP
already blocked. The remote loading path is deleted; the picker now
offers system fonts only, with a SELF_HOSTED_FONTS seam (FontFace API,
same origin) for bundling fonts later. Unknown families saved in old
documents fall back to the browser default.
4. Python sidecar fails closed on model downloads: new
packages/ai/python/offline_guard.py gates every runtime download
fallback (inpaint, outpaint, restore, noise_removal, detect_faces,
enhance_faces, face_landmarks, red_eye_removal, remove_bg, ocr,
transcribe, upscale) behind SNAPOTTER_ALLOW_MODEL_DOWNLOAD=1 with an
actionable error. Bundled models keep working untouched.
5. OCR and transcription library-internal downloads: unbundled PaddleOCR
language and detection fallbacks now raise the guard error naming the
language instead of resolving models over the network; faster-whisper
gets local_files_only when downloads are off.
6. GFPGAN and CodeFormer cwd-relative weights: facexlib and
codeformer-pip resolve helper weights relative to the process cwd and
fetch them from GitHub when absent. They are now symlinked from the
installed bundle files under MODELS_PATH/gfpgan/facelib before the
libraries load, failing closed when unresolvable.
Defense in depth: HF_HUB_OFFLINE=1 and TRANSFORMERS_OFFLINE=1 are set in
the runtime image and in the sidecar spawn env; install_feature.py lifts
them for user-initiated bundle installs and restores them afterwards
(it can run in-process inside the dispatcher). SNAPOTTER_ALLOW_MODEL_DOWNLOAD
is documented in .env.example, default off.
Validation: typecheck 9/9 workspaces, Biome clean on touched files,
5178 unit tests pass, py_compile on all touched scripts, guard behavior
exercised in both dispatcher exec and per-request import modes, zero
remaining runtime references to the three hosts. Docker build and live
AI inference need post-merge verification on the GPU host.
Claude-Session: https://claude.ai/code/session_01XGB4pGvTvb7sUX4JN745U7
* fix: allow AI model downloads by default, make strict offline mode opt-in
Product call: ease of use first. The download gating from the previous
commit inverts its default: runtime model fetches (public model weights
only, never user data) are allowed out of the box so AI tools self-heal,
and SNAPOTTER_ALLOW_MODEL_DOWNLOAD=0 becomes the explicit strict offline
mode for airgapped deployments, where every fallback raises the
actionable error instead of fetching.
Changes: offline_guard blocks only on an explicit 0/false; the
unconditional HF_HUB_OFFLINE/TRANSFORMERS_OFFLINE image ENV is removed
and bridge.ts sets those flags for the sidecar only in strict mode;
.env.example documents the new default; install_feature's lift/restore
stays. All bundled-path preferences, pre-existence checks, and symlink
pre-placement remain, so installed bundles never trigger a download.
The OSM, Scalar font, and editor font fixes are unchanged.
Validation rerun: typecheck 9/9, Biome clean on touched files, 5178
unit tests pass, py_compile on touched scripts, guard behavior verified
for unset/1 (allowed) and 0/false (blocked with the new message).
Claude-Session: https://claude.ai/code/session_01XGB4pGvTvb7sUX4JN745U7
Match the drift-proof public phrasing used elsewhere (the Languages
stat already reads "20+"). Avoids the below-hero number going stale as
tools are added.
Claude-Session: https://claude.ai/code/session_01JQ8LmV8LPLi8yNTayHzSTQ
README:
- Add a one-command Quick Start above Key Features (single docker run) to show how fast setup is; rename the detailed section to Deployment and drop the duplicated one-liner.
- List TinyWow among the alternatives.
- Tighten the sponsor call to action.
Branding:
- Replace the social card's GDPR/HIPAA badges with Self-hosted, Privacy-sensitive, Compliance-friendly, Air-gap capable, Open source, matching the landing Hero.
- Regenerate branding/social-preview.png and the synced landing/web OG images (counts refreshed to the live catalog).
Claude-Session: https://claude.ai/code/session_01JQ8LmV8LPLi8yNTayHzSTQ
Book a Demo moves into the outline nav slot (Try Demo is removed), and a new Get Started Free primary CTA links to the docs getting-started guide in a new tab. Applies to both the desktop bar and the mobile menu.
Claude-Session: https://claude.ai/code/session_01STf4CGEkYKNwN26rMxVpn6
Conversion engines wrote their own names into PDF metadata: LibreOffice,
Ghostscript, pdfcpu, WeasyPrint, and PDFKit all stamped Producer/Creator
on generated files. A new doc_scrub_meta docs-profile script (PyMuPDF)
rewrites both fields to SnapOtter and drops the stale XMP copy; the
worker applies it to the 25 PDF-generating tools before outputs reach
object storage. Best effort by design: any failure keeps the original
bytes and only logs a warning.
Deliberately untouched: tools that edit the user's own PDF and preserve
its metadata (qpdf edits, sign, flatten), encrypted outputs (copied
through), and pdfa-convert, where a metadata rewrite risks PDF/A
conformance.
Claude-Session: https://claude.ai/code/session_01XGB4pGvTvb7sUX4JN745U7
Fixes found by manually testing a fresh install end to end:
- auth: the must-change-password gate returned 403 on public routes
including /api/v1/health, so every fresh install showed a false
"Reconnecting to server" banner on the forced password change
screen. Public routes are now exempt (they need no session at all).
Adds the gate's first direct tests.
- multipart: @fastify/multipart's parts() iterator (9.4.0 and 10.0.0)
ends on the request stream's "close", which on a reused keep-alive
connection fires while an earlier part is still streaming to storage,
silently dropping the parts behind it. The object eraser lost its
mask file on every second POST per connection. Replaced with a
busboy-driven iterator (lib/multipart-parts.ts) that ends on busboy's
own "finish", installed for all routes via a preValidation hook;
the tool-factory field-recovery workaround for the same bug is now
unnecessary and removed.
- eraser: the mask canvas backing store is natural resolution, but
"absolute inset-0" does not stretch replaced elements, so the
canvas rendered at intrinsic size and the brush ring, strokes, and
exported mask were all misscaled on photos larger than the viewport.
The canvas now gets an explicit CSS box at the fitted size.
- compare slider: solid white divider with a dark halo so it stays
visible over light images; still initialised at the painted region.
- tool page: the AI bundle install prompt now centers in the content
area instead of hugging the top.
- api docs: disabled Scalar's cloud features (Ask AI, Generate MCP,
Open API Client, dev toolbar), hid the "Powered by Scalar" footer
link, and set the page title to "SnapOtter API Reference". The docs
CSP blocks those cloud calls by design, so the buttons were dead UI.
- docker: embedded Redis comes from packages.redis.io pinned to the
8.x major (was Debian's 7.0.15), matching the Compose stack and the
documented claim. Build fails fast if the major ever drifts.
- docs: DOCKERHUB.md quick start now leads with the one-command docker
run (matching the README) with Compose as the production path;
README says embedded Postgres 17 + Redis 8.
Claude-Session: https://claude.ai/code/session_01XGB4pGvTvb7sUX4JN745U7
Give the contact calls-to-action a friendlier, more human voice. The nav
"Contact" link and the FAQ "Contact Us" button become "Talk to a human",
and the Enterprise pricing "Contact Sales" becomes "Let's talk". All links
still point to /contact; only the labels change.
Claude-Session: https://claude.ai/code/session_01MbQGV1k1mneFidgGyDnmDQ
A self-hosted animated warm gradient now sits behind the hero: a captured
WebGL mesh loop (webm + mp4 + webp poster, no framework or Three.js) in a
top band that fades to cream before the tool search. The headline goes
white, badges become dark glass, and the navbar is more opaque so nav,
badges, headline, and subtitle all stay legible over the gradient.
Reduced-motion and small screens fall back to the still poster.
Also carries the hero copy already present in the working tree (new
headline, badge labels, and subtitle), which is entangled with these edits.
Claude-Session: https://claude.ai/code/session_01MbQGV1k1mneFidgGyDnmDQ
Fixes 15 defects found by a max-effort multi-agent review of the last 6
merged PRs (#388, #390, #391, #392, #393, #394), all adversarially
verified before fixing.
Install queue + dispatcher (the serious cluster):
- features.ts: finalize the installer child exactly once. A failed spawn
fires both "error" and "close", and the second event released the file
lock and active slot that pump() had just handed to the next queued
bundle, letting two pip processes write the same venv concurrently.
Outcome recording now happens before pump() so the next bundle's first
progress frame cannot race the previous install's bookkeeping.
- feature-status.ts: keep failed-install errors in a per-bundle map
instead of the single progress slot. With the queue auto-starting the
next install, the slot was overwritten within seconds and a failed
install vanished without ever surfacing to GET /features.
- bridge.ts: scope child lifecycle per process (stopped-children set +
request generation tags) instead of an instance-wide shuttingDown flag
that the next spawn reset. A stale SIGTERMed child's late close event
could record a phantom crash (5 of which permanently disable the
dispatcher), null out the freshly spawned child, and reject the new
child's pending requests. The request-timeout kill path still counts
as a real crash.
- install_feature.py: the pre-write disk re-check measured ai_dir's
filesystem even when budgeting the cross-filesystem copy that lands on
the venv's disk; now each budget is checked against the filesystem the
bytes actually land on, so ENOSPC cannot strike mid-write and leave
site-packages half overwritten.
Behavior regressions:
- embed-subtitles: preserve pre-existing subtitle tracks (0:s?) and MKV
attachments (0:t?) that the -map 0:v:0/0:a? rewrite silently dropped;
data streams stay unmapped on purpose (the actual MPEG remux fix). The
new subtitle maps first so the language tag hits the right stream.
- usage-survey-overlay: fail closed when the settings fetch fails; the
fail-open path rendered the blocking survey against an unhealthy API
and soft-locked admins, the lock-out class #392 fixed.
- features-store: queued bundles poll instead of each holding an SSE
connection (Install All could pin 7 EventSources and exhaust the
browser's 6-per-origin HTTP/1.1 limit, hanging the whole app);
listenToProgress closes any prior stream and stops any poll before
subscribing; installAll skips bundles already installing or queued.
Contracts, tests, i18n:
- openapi.yaml: add "queued" to the features status enum and document
downloadBytes/installedBytes (Schemathesis conformance).
- feature-lifecycle e2e: queue transcription (~0.5 GB) instead of ocr
(~6 GB) and give the test a budget that covers both install drains
(the stacked waits exceeded the old 900s timeout).
- docker-compose.qa.yml: parameterize the host port (QA_APP_PORT) so
QA_PROJECT_NAME concurrent stacks can actually bind.
- compare + watermark-image: restore per-input error attribution
("Invalid first/second image", "Invalid watermark image") lost in the
shared-handler migration.
- ai-features-section: the "{size} on disk" suffix now goes through
i18n; key added to all 21 locales.
- watermark-image + content-aware-resize: migrate to the shared
inputHandlerFor("image") chain like compare/vectorize/compose, fixing
drift in the inline copies (no SVG sanitize, no RAW extension hint,
no AVIF probe).
Verified: typecheck across 9 workspaces, Biome clean on all changed
files, 584 targeted unit tests and 249 integration tests green
(including real-ffmpeg embed-subtitles runs). One unit test updated to
the new poll-while-queued contract with a single-EventSource assertion.
Claude-Session: https://claude.ai/code/session_017mR1HiHaf3a1BmUtrHX4j3
* fix(api): correct format/filename/container handling across tool routes
Found during a comprehensive QA sweep exercising every tool against its
full accepted-format matrix:
- watermark-image, compose: preserve the requested output format and a
matching download filename/extension instead of always emitting the
source format
- compose: crop oversized overlays to the visible base area instead of
crashing Sharp's composite, and reject only overlays fully outside the
base image instead of any oversized one
- compare, vectorize: switch to the shared image input handler so
filenames and formats like .svgz/.tga/RAW survive validation instead
of being rejected pre-processing
- tool-factory, images-to-video: normalize frames through Sharp before
handing them to FFmpeg, fixing GIF/AVIF/RAW image-to-video jobs that
previously failed or hung
- media-tool, replace-audio, embed-subtitles: fix legacy container
MIME/codec handling for MPEG sources and subtitle remux cases
- files: expand download MIME mapping for text/data/document/video/audio
outputs that were falling back to a generic content type
- convert-document/presentation/spreadsheet: same-format conversions now
return the original validated file instead of erroring or producing
corrupt tiny output
Claude-Session: https://claude.ai/code/session_019fpSXhLGLXWwfyZY2tWhLG
* fix(web): dropzone a11y, stale localStorage getter, dead code
- dropzone: stop making the whole drop-zone section clickable/focusable.
A section acting as an interactive element around a real upload button
is a nested-interactive-element anti-pattern that confuses screen
readers; drag-and-drop doesn't need focus semantics, only the button
fallback does. Keeps that button semantic and keyboard-reachable.
Updates the two e2e call sites that clicked the section directly.
- api, use-auth: read through window.localStorage via the existing API
storage helper instead of the bare global, which resolves to Node's
experimental localStorage getter under Vitest and threw
- find-duplicates-settings, info-settings, login-page: remove dead code
(unused zip-download handler, a stale mount-only effect dependency
that left cached info stuck at reused indices, an unused response
variable)
Claude-Session: https://claude.ai/code/session_019fpSXhLGLXWwfyZY2tWhLG
* fix(i18n): pt-BR, zh-CN, zh-TW were silently falling back to English
The locale loader looked up dynamic-import exports by the raw locale
code (mod["pt-BR"], mod["zh-CN"], mod["zh-TW"]), but those three modules
export camelCased bindings (ptBR, zhCN, zhTW) since identifiers can't
contain hyphens. The lookup returned undefined and every consumer
silently fell back to English for these three locales. Replaces the
generic lookup with explicit per-locale loaders so the mapping can't
drift out of sync again.
Also updates the dropzone helper copy across all 21 locales to match
the drag-only dropzone wording from the previous commit.
Claude-Session: https://claude.ai/code/session_019fpSXhLGLXWwfyZY2tWhLG
* fix(docs): clear build warnings in the VitePress site
- config.mts: add an onwarn handler for the @vueuse INVALID_ANNOTATION
warnings emitted during the docs build
- deployment.md: the caddyfile code fence language isn't a shiki grammar
VitePress ships with, so it warned on every build; use txt instead
Claude-Session: https://claude.ai/code/session_019fpSXhLGLXWwfyZY2tWhLG
* test(qa): update QA harness for the drag-only dropzone and regen metadata
- api-sweep, qa-helpers, verify-ai: add JSON-body tools, multi-input
secondary fixtures, async polling for slow valid jobs, 501
FEATURE_NOT_INSTALLED skip handling, and safer per-tool settings
- input-preview, pipeline-ui specs: update upload flow for the
drag-only dropzone surface
- add tests/fixtures/data/valid/chart.json, a valid chart fixture the
updated helpers route to
- regenerate tools-meta.json against current TOOLS[]
Claude-Session: https://claude.ai/code/session_019fpSXhLGLXWwfyZY2tWhLG
* fix(security): close a login timing side-channel, harden zip-slip tests
Found during a black-box security sweep of the real auth-enabled
production container: a nonexistent username returned 401 in ~3-10ms,
while a wrong password for a real user took ~35-42ms, because scrypt
verification only ran when a user row existed. That timing gap lets an
attacker enumerate valid usernames without ever guessing a password.
Now runs verification against a cached dummy hash on the unknown-user
path too, so both cases cost the same regardless of outcome.
extract-zip already had a relative-traversal regression test
(../evil.txt), but its absolute-path rejection branches
(name.startsWith("/") / startsWith("\\")) had none. Added the three
missing cases: deep relative traversal, absolute Unix path, and
Windows-style absolute path.
Claude-Session: https://claude.ai/code/session_019fpSXhLGLXWwfyZY2tWhLG
* test(qa): add UI-driven AI bundle install scripts
QA_PROMPT.md's Phase 2 requires installing AI models the way a user
does -- through the UI, on demand from HuggingFace -- and treats the
curl-based admin install endpoint as fallback-only. Nothing in the
harness actually drove that flow; tests/qa/seed-ai-models.sh installs
via docker exec + pip, which is further from a real user than even the
API fallback.
install-ai-bundles-ui.mts logs in, opens Settings > AI Features,
screenshots the pre-install state, clicks Install All, and screenshots
progress -- then exits, since installs continue server-side once
triggered. verify-ai-install-complete.mts polls bundle status,
screenshots the completed state, and runs one real tool per installed
bundle to prove the freshly-downloaded model actually executes.
Claude-Session: https://claude.ai/code/session_019fpSXhLGLXWwfyZY2tWhLG
* fix(qa): correct the apiToolPath import in the AI verify script
Dynamic import of the package name failed under tsx's module resolution
from apps/api's node_modules context; use the same relative-path import
api-sweep.mts already uses successfully.
Claude-Session: https://claude.ai/code/session_019fpSXhLGLXWwfyZY2tWhLG
* fix(web): correct AI bundle size estimates shown before install
Measured real downloads during GPU-node QA verification: photo-restoration
pulls ~4.4GB (was advertised as 800MB-1GB, off by 4-5x) and ocr pulls
~5.5GB (was advertised as 3-4GB). Both estimates only accounted for model
weights, not the pip dependencies (torch/paddle) that come down with them.
Updated to reflect actual total download size, since that's what a user
deciding whether they have the disk/bandwidth actually needs to know.
Claude-Session: https://claude.ai/code/session_019fpSXhLGLXWwfyZY2tWhLG
* fix(web): make desktop Settings reachable when auth is disabled
AvatarDropdown (the only desktop entry point to Settings) was gated
behind `!isMobile && authEnabled`. With AUTH_ENABLED=false the synthetic
anonymous admin user should have full Settings access per how auth.ts
documents this mode -- and the mobile bottom nav already worked this way,
showing Settings unconditionally. Desktop just had a stray extra gate the
component doesn't need: AvatarDropdown already resolves its own username
internally (falling back to "admin") and reads authEnabled itself where
it actually matters (hiding the Logout button). Removed the outer gate;
verified end-to-end against a fresh AUTH_ENABLED=false instance -- avatar
now renders, Settings opens, shows the anonymous/Admin identity correctly.
Also documents (not changes) a related finding in install_feature.py:
detect_arch() always resolves amd64 hosts to the GPU-bundled archive
variant regardless of actual GPU presence, since no CPU-only amd64
archive is published to the bundle repo yet. Left as a code comment
rather than a behavior change, since requesting an unpublished archive
key would hard-fail installs entirely -- worse than the current
oversized-but-working download. Full detail in the QA report.
Claude-Session: https://claude.ai/code/session_019fpSXhLGLXWwfyZY2tWhLG
* fix(ai): stop logging expected dispatcher reloads as crashes
After each AI bundle install the Python dispatcher reloads because the
venv changed, and after every app shutdown it's SIGTERMed. Both took the
close handler's `code !== 0` branch (SIGTERM makes the exit code null),
so they were counted as crashes -- producing an alarming "crash" line in
the logs and a pointless ~1s recovery backoff after each of 7 installs.
A `stopping` flag set in shutdown() lets the close handler tell an
intentional stop apart from a real crash. The request-timeout kill path
deliberately does not set it, so a genuinely hung script still records a
crash and the 5-in-60s permanent-disable threshold is untouched.
Claude-Session: https://claude.ai/code/session_019fpSXhLGLXWwfyZY2tWhLG
* fix(api): return a clean message when content-aware resize times out
Carving a very high-resolution image down to a tiny target could exceed
the caire subprocess timeout, and the raw error forwarded to the user was
caire's terminal output -- ANSI color codes and progress-spinner control
characters -- instead of anything actionable. Now: the timeout path
throws a clear "timed out; try a smaller image or larger target" message
(keeping the raw stderr as `cause` for server logs); friendlyError()
strips ANSI/control chars centrally so any subprocess dump surfaced
through the shared sanitizer is plain text; and the content-aware-resize
route (a custom route that bypassed the sanitizer) now routes its error
paths through friendlyError like every other tool.
Claude-Session: https://claude.ai/code/session_019fpSXhLGLXWwfyZY2tWhLG
* fix(ai): stop bundle installs from exhausting host disk
Installing an AI bundle on a tight-disk host could push the root
filesystem to zero bytes free after the preflight check had already
passed. Two root causes:
- move_tree used copytree+rmtree, so during the move the extracted
payload existed in both staging and the venv at once -- a full
transient doubling on disk. Rewrote it to rename entries (a cheap
metadata op on the same filesystem, no copy), falling back to a copy
only across filesystems.
- the preflight budget used the manifest's extractedSize verbatim, which
is 0 for several archives, collapsing the estimate to just the
compressed size. Added a conservative fallback (3x compressed) so a
missing value can't under-reserve.
Also added a real-on-disk re-check immediately before the first
destructive venv write (measuring the actual extracted payload and
whether the move needs extra space for a cross-filesystem copy), which
also now covers the offline-import path that previously skipped the disk
check entirely; wrapped the moves so an out-of-space failure returns a
clean actionable error instead of a traceback; and made the disk check
resolve the nearest existing ancestor so it never throws on a
not-yet-created venv path.
Claude-Session: https://claude.ai/code/session_019fpSXhLGLXWwfyZY2tWhLG
* feat(web): show the real per-arch AI bundle download size
The bundle cards and install prompt showed a hardcoded, architecture-blind
estimatedSize string. That's misleading: amd64 hosts always pull the
CUDA-inclusive archive (there's no CPU-only amd64 variant published), so a
bundle labelled "1-2 GB" can actually download several times that, while
arm64 pulls a much smaller archive for the same label. The manifest
already carries the real per-arch compressedSize (and extractedSize where
measured), so surface those: a new optional downloadBytes/installedBytes
on FeatureBundleState, populated in getFeatureStates() for this host's
arch (resolver mirrors install_feature.py detect_arch), shown by the UI
when present with estimatedSize kept as the fallback label. Also nudged
upscale-enhance's fallback string (4-5 -> 5-6 GB) to match its real
compressed size, consistent with the earlier photo-restoration/ocr fixes.
Fields are optional so demo/mock and existing tests stay compiling; the
manifest's extractedSize is 0 for a few archives, which now surfaces as
null rather than a bogus 0.
Claude-Session: https://claude.ai/code/session_019fpSXhLGLXWwfyZY2tWhLG
* fix(web): move the AI install queue to the server so it survives tab close
Installing multiple bundles could silently lose all but the first. The
server rejected a concurrent install with 409, so the client worked
around it by queueing the rest in browser-local state and only POSTing
each once it saw the previous finish. A single POSTed install is durable
(the installer child is detached from the request), but a queued one had
zero server footprint -- close the tab mid-queue and those installs
vanished with no error, while the UI still showed them "Queued". The
client "mutex" didn't even serialize: the queued bundles' local waits all
resolved at once and raced into concurrent POSTs that 409'd each other.
Now the queue lives on the server (a small in-memory FIFO leaf module).
The install endpoint enqueues instead of 409-ing and returns
202 {jobId, queued}; a pump starts the next bundle when the current one's
child exits (and after an offline import releases the lock), all behind
the existing venv + file locks, which are unchanged. The client just
POSTs every bundle immediately and reflects the server-reported
queued/installing status; Install All fires all POSTs and lets the server
serialize them, keeping the one-shot retry-on-failure. Adds "queued" to
FeatureStatus (the bundle card already rendered that state) and surfaces
it from getFeatureStates. In-memory is deliberate: it matches the
existing contract (survives a tab close, not a server restart, which
already clears the lock on boot).
Claude-Session: https://claude.ai/code/session_019fpSXhLGLXWwfyZY2tWhLG
* fix(qa): don't log env-derived credentials in the AI-install script
CodeQL flagged clear-text logging of sensitive information: the login
status line interpolated the QA base URL and username (both read from
the process environment) into a console.log. Replaced with a static
message. QA helper only, but it's a real hygiene issue and cleared the
high-severity code-scanning alert on the PR.
Claude-Session: https://claude.ai/code/session_019fpSXhLGLXWwfyZY2tWhLG
* feat: add usage-survey feedback types and gating function
Claude-Session: https://claude.ai/code/session_01KAC9Lbx8AmebAnj9WQZXHp
* feat: add onboarding usage-survey i18n strings to all locales
Relabels three ambiguous feedback.usageTypes values (personal/team_internal/
business_workflow) and adds a new onboarding namespace (4 keys) across the
reference locale and all 20 translations, so the tree compiles at every
commit instead of only after both locale groups land.
Claude-Session: https://claude.ai/code/session_01KAC9Lbx8AmebAnj9WQZXHp
* feat: add UsageSurveyOverlay component
* feat: mount UsageSurveyOverlay inside AuthGuard
Claude-Session: https://claude.ai/code/session_01KAC9Lbx8AmebAnj9WQZXHp
* fix: use text-start instead of text-left for RTL support in UsageSurveyOverlay
* refactor: drop redundant usage-type field from the admin feedback dialog
Claude-Session: https://claude.ai/code/session_01KAC9Lbx8AmebAnj9WQZXHp
* feat: accept onboarding source and survey id in the feedback route
Claude-Session: https://claude.ai/code/session_01KAC9Lbx8AmebAnj9WQZXHp
* test: cover the onboarding source in the feedback route integration test
Claude-Session: https://claude.ai/code/session_01KAC9Lbx8AmebAnj9WQZXHp
* chore: remove orphaned usageTypeLabel i18n key
* refactor: derive feedback source/survey_id enums from a single source of truth
* perf: skip the settings fetch in UsageSurveyOverlay for non-admin users
Centralizes the sharp format key type into a single `SharpFormat` alias derived from `toFormat()`'s signature (exported from @snapotter/image-engine, imported by the API consumers), replacing the duplicated `keyof FormatEnum` definitions. Adds convert/compress format round-trip tests covering webp/avif/png/jpeg. Part of #325.
Adds a prefilled 'Request a tool' affordance to the home search empty state and beneath weak results. Opens the in-app feedback dialog with a new search_miss source and a structured search_query when analytics is on; links to a prefilled GitHub Discussions (Ideas) post when off, so a request is never silently dropped. Reuses the existing feedback pipe, dialog, and analytics gate; no new storage. i18n across all 21 locales.
Landing:
- Preload the Bricolage display font (LCP heading) to cut first paint
- Cap tool-page meta descriptions at ~160 chars via whole-sentence
truncation, so SERP snippets no longer overflow or cut mid-phrase
- Drop dead HowTo + FAQPage JSON-LD from tool pages (Google removed
HowTo rich results in 2023 and FAQ rich results in 2026); the visible
content stays. Breadcrumb + WebApplication schema retained
- Shorten 22 tool titles that exceeded the ~60-char SERP limit
- Add an optional h1 override to tool SEO data
- Rewrite adjust-colors, smart-crop, and ringtone-maker to match real
Search Console query intent (saturation; object-aware cropping;
convert audio to ringtone), with query-matched H1s and FAQs
Docs:
- Add meta descriptions to 20 pages missing frontmatter
Repo:
- Ignore local credential JSON files (.secrets/, *client_secret*, *service_account*)
