PaddleOCR als neue engine=paddle Option in der OCR-Pipeline.
Microservice auf Hetzner (paddleocr-service/), async HTTP-Client
(paddleocr_remote.py), Frontend-Dropdown, automatisch words_first.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
fix_cell_phonetics() ersetzt fehlerhafte IPA-Klammern UND fuegt fehlende
Lautschrift fuer englische Woerter ein (z.B. badge, film, challenge, profit).
Wird auf alle Zellen mit col_type column_en/column_text angewandt.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
NameError behoben: skip_heal_gaps war nicht im Scope der
_word_batch_stream_generator Funktion.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
_heal_row_gaps verschiebt Zell-Positionen nach Entfernung von Artefakt-Zeilen,
was im Overlay zu sichtbarem Versatz fuehrt (z.B. 23px bei "badge").
Neuer skip_heal_gaps Parameter in build_cell_grid_v2 und words-Endpoint
behaelt die exakten Zeilen-Positionen bei.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Seiten mit Info-Boxen (andere Zeilenhoehe) fuehren dazu, dass _regularize_row_grid
die Zeilenpositionen verzerrt. Neuer skip_regularize Parameter nutzt stattdessen
die gap-basierten Zeilen, die der tatsaechlichen Seitengeometrie folgen.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Wenn column_result fehlt (z.B. OCR Overlay Pipeline), wird automatisch
eine einzelne ganzseitige Pseudo-Spalte erzeugt statt einen Fehler zu werfen.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- detect_rows: Content-Strips nutzen jetzt box_ranges_inner (geschrumpft
um border_thickness, min 5px) statt der vollen Box-Range
- detect_words: _row_in_box Filter nutzt ebenfalls inner Range
- Dadurch wird die letzte Zeile oberhalb einer Box nicht mehr
faelschlicherweise der Box zugeordnet und ausgeschlossen
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
_cells_to_vocab_entries wurde nur bei is_vocab (column_en/column_de)
aufgerufen. Fuer Sub-Sessions mit column_text wurden keine Eintraege
erzeugt, daher blieb die Korrektur-Tabelle leer.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Zeigt low-confidence Woerter (conf<30) und Zellinhalte pro Zeile,
um fehlende Euro/Pfund-Betraege zu diagnostizieren.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Gap-basierte Erkennung findet bei kleinen Box-Bildern zu wenige Gaps
und mergt Zeilen (7 raw gaps -> 4 validated -> nur 3 rows statt 6).
Sub-Sessions nutzen jetzt direkt _build_rows_from_word_grouping(),
das Woerter nach Y-Position clustert — robuster fuer komplexe Box-Layouts.
Zusaetzlich: alle zones=None Crashes gefixt (replace_all .get("zones") or []).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
column_result.get("zones", []) gibt None zurueck wenn der Key mit
Wert None existiert. Geaendert zu .get("zones") or [].
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Bisher wurden _word_dicts, _inv und _content_bounds fuer Sub-Sessions
nicht gecacht, sodass detect_rows auf detect_column_geometry() zurueckfiel.
Das konnte bei kleinen Box-Bildern mit <5 Woertern fehlschlagen.
Jetzt laeuft Tesseract + Binarisierung direkt im Pseudo-Spalten-Block,
und die Intermediates werden gecacht. Zusaetzlich ausfuehrliche Kommentare
zur Zeilenerkennung (detect_row_geometry, _regularize_row_grid).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Sub-Sessions ueberspringen Spaltenerkennung und nutzen stattdessen eine
Pseudo-Spalte ueber die volle Breite. Text wird mit proportionalem
Spacing aus Wort-Positionen rekonstruiert, um raeumliches Layout zu erhalten.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Alle Bild-Endpoints (cropped, columns-overlay, rows-overlay,
words-overlay) suchten nur nach cropped/dewarped. Sub-Sessions haben
nur ein original-Bild. Neue Hilfsfunktion _get_base_image_png() mit
Fallback-Kette: cropped > dewarped > original.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Spalten-/Zeilen-/Woerter-Erkennung suchen nach cropped_bgr oder
dewarped_bgr. Bei Sub-Sessions existiert nur original_bgr (der
Box-Ausschnitt). Jetzt wird original_bgr automatisch als cropped_bgr
gesetzt, sowohl im Cache-Aufbau als auch bei der Erstellung.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Rote semi-transparente Box-Markierung in allen Overlays (Spalten, Zeilen, Woerter)
- Zeilenerkennung: Combined-Image-Ansatz schliesst Box-Bereiche aus
- Woerter-Erkennung: Zeilen innerhalb von Box-Zonen werden gefiltert
- Sub-Sessions: parent_session_id/box_index in DB-Schema
- POST /sessions/{id}/create-box-sessions erstellt Sub-Sessions aus Box-Regionen
- Session-Info zeigt Sub-Sessions bzw. Parent-Verknuepfung
- Sessions-Liste blendet Sub-Sessions per Default aus
- Rekonstruktion: Fabric-JSON merged Sub-Session-Zellen an Box-Positionen
- Save-Reconstruction routet box{N}_* Updates an Sub-Sessions
- GET /sessions/{id}/vocab-entries/merged fuer zusammengefuehrte Eintraege
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Spalten-, Zeilen-, Woerter-Overlay und alle nachfolgenden Steps
(LLM-Review, Rekonstruktion) lesen jetzt image/cropped mit Fallback
auf image/dewarped. Tests fuer page_crop.py hinzugefuegt (25 Tests).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
detect_and_fix_orientation() wird jetzt vor dem Deskew-Schritt in der
OCR-Pipeline ausgefuehrt, sodass 90/180/270°-gedrehte Scans automatisch
korrigiert werden. Frontend zeigt Orientierungskorrektur als Info-Banner.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
After iterative projection (pass 1) and word-alignment (pass 2), a third
pass uses Tesseract word positions + linear regression per text line to
measure and correct residual rotation. This catches cases where passes 1-2
leave significant slope (e.g. 1.7° residual on heavily skewed scans).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Increase iterative deskew coarse_range from ±2° to ±5° to handle
heavily skewed scans
- New deskew_two_pass(): runs iterative projection first, then
word-alignment on the corrected image to detect/fix residual skew
(applied when residual ≥ 0.3°)
- OCR pipeline API auto_deskew now uses deskew_two_pass by default
- Vocab worksheet _run_ocr_pipeline_for_page uses deskew_two_pass
- Deskew result now includes angle_residual and two_pass_debug
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Adds deskew_image_iterative() as 3rd deskew method that directly optimizes
for projection-profile sharpness instead of proxy signals (Hough/word alignment).
Coarse sweep on horizontal profile, fine sweep on vertical profile.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replaces the stub StepGroundTruth with a full side-by-side Original vs
Reconstruction view. Adds VLM-based image region detection (qwen2.5vl),
mflux image generation proxy, sync scroll/zoom, manual region drawing,
and score/notes persistence.
New backend endpoints: detect-images, generate-image, validate, get validation.
New standalone mflux-service (scripts/mflux-service.py) for Metal GPU generation.
Dockerfile.base: adds fonts-liberation (Apache-2.0).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Remove _fix_character_confusion() from words endpoint (now only in Phase 0)
- Extend spell checker to find real OCR errors via spell.correction()
- Add field-aware dictionary selection (EN/DE) for spell corrections
- Add _normalize_page_ref() for page_ref column (p-60 → p.60)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Batch OCR takes 30-60s with 3x upscaling. Without keepalive events,
proxy servers (Nginx) drop the SSE connection after their read timeout.
Now sends keepalive events every 5s to prevent timeout, with elapsed
time for debugging. Also checks for client disconnect between keepalives.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Frontend: retry /words POST once after 2s delay if it gets 400/404,
which happens when navigating via wizard after container restart
(session cache not yet warm).
Backend: log when session needs DB reload and when dewarped_bgr is missing.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The old per-cell streaming timed out because sequential cell OCR was
too slow to send the first event before proxy timeout. Now uses
build_cell_grid_v2 (parallel ThreadPoolExecutor) via run_in_executor,
then streams all cells at once after batch completes.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Cell-First OCR (v2): Each cell is cropped and OCR'd in isolation,
eliminating neighbour bleeding (e.g. "to", "ps" in marker columns).
Uses ThreadPoolExecutor for parallel Tesseract calls.
Document type detection: Classifies pages as vocab_table, full_text,
or generic_table using projection profiles (<2s, no OCR needed).
Frontend dynamically skips columns/rows steps for full-text pages.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The narrow column expansion was running inside detect_column_geometry()
on the 4 main columns, but the narrowest columns (marker ~14px,
page_ref ~93px) are created AFTERWARDS by _detect_sub_columns().
Extracted expand_narrow_columns() as standalone function and call it
after sub-column splitting in the columns API endpoint.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The try/except block for the deskew step had 4 extra spaces of
indentation from a previous edit. Python rejected the file with
IndentationError at startup.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
1. Word-to-column assignment now uses overlap-based matching instead of
center-point matching. This fixes narrow page_ref columns losing
their last digit (e.g. "p.59" → "p.5") when the digit's center
falls slightly past the midpoint boundary into the next column.
2. Post-OCR empty row filter: rows where ALL cells have empty text
are removed after OCR. This catches inter-row gaps that had stray
Tesseract artifacts giving word_count > 0 but no actual content.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
The streaming word endpoint excluded page_ref from _skip_types,
causing sub-column splits to be lost in the meta event and final
grid_shape. Aligned _skip_types with build_cell_grid_streaming().
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Header/footer words (page numbers, chapter titles) could pollute the
left-edge alignment bins and trigger false sub-column splits. Now
_detect_header_footer_gaps() runs early and its boundaries are passed
to _detect_sub_columns() to filter those words from clustering and
the split threshold check.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Word 'left' values in ColumnGeometry.words are relative to the content
ROI (left_x), but geo.x is in absolute image coordinates. The split
position was computed from relative word positions and then compared
against absolute geo.x, resulting in negative widths and no splits on
real data. Pass left_x through to _detect_sub_columns to bridge the
two coordinate systems.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Detects hidden sub-columns (e.g. page references like "p.59") within
already-recognized columns by clustering word left-edge positions and
splitting when a clear minority cluster exists. The sub-column is then
classified as page_ref and mapped to VocabRow.source_page.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Check for actual ink content in detected top/bottom regions:
- 'header'/'footer' when text is present (e.g. title, page number)
- 'margin_top'/'margin_bottom' when the region is empty page margin
Also update all skip-type sets and color maps for the new types.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Replace the trivial top_y/bottom_y threshold check with horizontal
projection gap analysis that finds large whitespace gaps separating
header/footer content from the main body. This correctly detects
headers (e.g. "VOCABULARY" banners) and footers (page numbers) even
when _find_content_bounds includes them in the content area.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
The ocr_pipeline_api.py code path called classify_column_types without
left_x/right_x, so margin regions were never created. Also add logging
to _build_margin_regions for debugging.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
1. Unit tests: 76 new parametrized tests for noise filter, phonetic detection,
cell text cleaning, and row merging (116 total, all green)
2. Continuation-row merge: detect multi-line vocab entries where text wraps
(lowercase EN + empty DE) and merge into previous entry
3. Empty DE fallback: secondary PSM=7 OCR pass for cells missed by PSM=6
4. Batch-OCR: collect empty cells per column, run single Tesseract call on
column strip instead of per-cell (~66% fewer calls for 3+ empty cells)
5. StepReconstruction UI: font scaling via naturalHeight, empty EN/DE field
highlighting, undo/redo (Ctrl+Z), per-cell reset button
6. Session reprocess: POST /sessions/{id}/reprocess endpoint to re-run from
any step, with reprocess button on completed pipeline steps
Also fixes pre-existing dewarp_image tuple unpacking bug in run_cv_pipeline
and updates dewarp tests to match current (image, info) return signature.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
StepLlmReview: Show full vocab table with image overlay, row-level
status tracking (pending/active/reviewed/corrected/skipped), and
auto-scroll during SSE streaming. Load previous results on mount.
StepReconstruction: New step 7 with editable text fields at original
bbox positions over dewarped image. Zoom controls, tab navigation,
color-coded columns, save to backend.
Backend: Add POST /sessions/{id}/reconstruction endpoint.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
