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>
Voice consistency:
- Read back each voice's pinned seed (Seed Finder / Batch Seeds) on every
generation. The seed was saved to voice metadata but only ever read by the
Seed Finder's own benchmark path, so all per-voice seed pinning was inert.
- Stop coercing the "voice_design_playback" stability profile back to
"voice_clone". The pseudo-backend key isn't a real routing target, so the
backend-name normalizer silently rewrote it — reintroducing the hardcoded
seed:0 that profile exists to avoid, overriding every per-voice pin.
- Apply the accent clause on every line, not just at voice-creation time,
and reorder the instruct so emotion leads and accent trails (Qwen3-TTS
doesn't reliably follow multiple conflicting instructions).
- Pass an explicit language to Voice Design instead of leaving it on "Auto".
Audio effects:
- Add a limiter after compressor makeup gain. Makeup gain pushed peaks to
~1.9, and the final hard clip turned that into broadband distortion that
swamped the rest of the chain.
- Cascade highpass/lowpass 3 stages each (~18 dB/octave). Single-pole
filters were too gentle to band-limit speech audibly.
- Add a Bandpass control and wire it into the Telephone/Radio presets —
compression alone never sounded like a phone; band-limiting is the
defining trait.
Persona / Try It Out:
- Disable "Apply character persona" with an explanatory tooltip when the
voice has no persona saved, and error clearly server-side instead of
silently no-op'ing. Persona is typed manually per voice, never auto-filled.
- Stop dropping applyPersona in the chunked generation path (>200 chars).
- Populate the Voice Design dropdown from the user's own library rather than
filtering the engine's discovery list, which never contains custom voices.
Navigation and library:
- Use pushState instead of replaceState so browser Back/Forward step through
in-app navigation instead of leaving the app entirely.
- Show real dialogue line counts in the character sidebar instead of the
capped reference-quote count (which showed a misleading uniform "12").
Also fixes a crash in /api/transcribe-bytes that referenced an undefined
source_id in its cleanup path.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Introduces the new Studio section (Source -> Characters -> Voices ->
Perform & Export) that reuses the existing Read Aloud/Library/Script
Rehearsal code via DOM reparenting instead of duplicating it, and rolls up
a long tail of bugs found while producing a real audiobook through it:
umlaut-eating name sanitizers, a voice picker that mispositioned itself and
capped results at 60, PDF pagination silently breaking on trimmed \f
markers, a race letting stale audio keep playing after a new line was
clicked, an alias-overlap bug that could silently redirect a voice/image
save onto the wrong character, voice design failing outright during brief
TTS backend restarts instead of retrying, sparse cast entries defaulting to
English/wrong gender, and a reassigned voice never reaching an already-open
Stage session or invalidating its cached audio. Also adds a persistent
per-line audio cache, audiobook export browsing/download, and an inline
voice-design prompt editor. Full details in CHANGELOG.md.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
- Added a new 'Table View' button to the library sort bar.
- Implemented a CSS grid layout to display voice properties in a high-density table.
- Added sortable column headers (Name, Lang, Gender, Speed, dBFS, Length, Rating, Source, Seed, Note, Tags, Active).
- Aligned CSS grid to account for the bulk edit checkbox injection.
- Added drag-and-drop profile image support to the Inspector's large avatar.
- Ensured picture updates instantly synchronize across the List, Table, and Inspector views.
Previously: container names and dynamic card URL overrides only
written to localStorage — lost when accessing from a different
browser or after clearing browser data.
Now:
- engine_container_names added as persisted settings key (dict)
- All container name inputs tagged data-cn-key for loadSettings() lookup
- loadSettings() restores container names + dynamic URLs from server
- settings.js exposes _saveEngineContainerNames() and
_saveEngineLocalUrls() globally so engines.js / ai-backends.js
can call them on every input event
- Static cards (ai-backends.js initStaticDockerManagement): reads
saved name from engine_container_names first, localStorage fallback
- Dynamic Docker stack cards (engines.js): same priority for both
URL and container name; both write to server on change
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
