A page needing OCR (or whose already-extracted text -- native or
tesseract alike -- scores as mostly garbage via ocr_quality_score) is
now escalated to a connected vision OCR engine before falling back to
tesseract. Falls back automatically on any failure (unreachable engine,
timeout, unparseable output); never fatal to ingestion.
Verified live against ocr-baidu-unlimited-ocr on a real 28-page scanned
c't magazine excerpt (Epson ES-580W, no scanner OCR): every garbled
article title tesseract produced ("K | soll Arbeit abnehmen", ". |",
"@)X", "Owns mee") was replaced by the real headline ("1. Irrtum: KI
ist ein allgemeiner Jobkiller", etc.), and furniture detection jumped
from 44 to 151 blocks because the engine labels running headers/
footers/page numbers directly instead of needing fuzzy post-hoc
matching. 26 of 28 pages used the vision path; the remaining 2 fell
back to tesseract automatically.
Also fixes two real defects found investigating the same real-world
data, both regression-tested against the actual garbled strings
observed:
- Exact-match repeated-line detection (running header/footer) silently
failed once tesseract OCR'd the same line differently each time --
cluster_running_furniture fuzzy-matches near-edge blocks instead.
- ocr_page() built one Block per OCR text-LINE rather than per
paragraph, so a single anomalous line (a chart number, scan noise, a
wrapped headline continuation) could independently trigger title
classification -- now grouped by paragraph like the native PyMuPDF
path, using the paragraph's median line height rather than its total
bbox height for font size.
A vision-engine label (footer/title/page_number/caption) is trusted
outright and skips classify_blocks' font-size heuristics entirely,
since the engine gives no reliable font metric; an ambiguous "text"
region gets a synthesized estimate from its paragraph area and length
(estimate_font_size_from_area) and still goes through normal
classification.
Off unless vision_ocr_url/vision_ocr_model are configured
(vision_ocr_enabled setting, default on if reachable); per-request
override via the ingest endpoint body. Default engine URL uses
host.docker.internal, confirmed live -- the OCR container runs on its
own Docker network, not dgx_net, so a container-name default would not
resolve from the app container.
28 new tests (136 total in the module). ocr_quality_score is
deliberately coarse and documented as such: it catches text that is
mostly symbol noise, not a plausible single-word misread inside an
otherwise normal sentence (confirmed live: a misread "KI" -> "K |"
still scored 0.81) -- that class of error needs a dictionary or
language-model check, out of scope here.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
- Add a 6-stage pipeline stepper (Source -> Cast Audiobook -> Cast Characters
-> Script Rehearser -> Generate MP3s -> Audiobook) with direct, non-destructive
jumps between stages and a prominent guided-tour look
- Split PDF import into an explicit "load" then "Extract Text" step, with
in-browser OCR (Tesseract.js, vendored) to recover chapter headlines baked
into a PDF as images instead of real text
- Fix casting feed silently merging pages after leaving/returning: segments
now carry their own page number instead of re-guessing it from text
- Fix excessive "Unknown" speaker attribution: restore the attribution LLM's
output token budget, which had been cut roughly in half and was truncating
dialogue-dense passages
- Fix Theater Play library cards failing to open (dead pre-migration
IndexedDB API calls, missing section navigation)
- Fix bulk "Set tag" wiping a voice's existing tags instead of adding to them
- Start merging Casting's feed with Script Rehearser's Stage UI: collapsible
character sidebar, shared "paper" page styling, inline text editing
- Fix a performance regression from that merge (per-row listeners on every
redraw) by moving to event delegation
- Various layout/clutter fixes: hide reader chrome until a document is
loaded, collapse secondary settings by default, fix overlapping toolbar
icons, fix duplicate "opening" notifications
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
- Add VERSION file (1.1.0) at repo root
- core/constants.py: expose __version__ read from VERSION file
- routes/admin.py: GET /api/version endpoint returns {version}
- Settings → About: display "v1.1.0" next to app name via /api/version fetch
- CHANGELOG.md: full rewrite following Keep a Changelog + Semantic Versioning
- [Unreleased] staging section at top
- [1.1.0] 2026-05-29 — security, perf, refactor, UX changes from this session
- [1.0.0] 2026-05-28 — all pre-session features documented
- Compare links at bottom pointing to GitHub
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
