input: paths: - "~/Pictures" patterns: - "SCR-*.png" - "*.jpg" - "*.jpeg" - "*.tiff" - "*.bmp" recursive: true exclude_patterns: - "*.photoslibrary/*" ocr: engine: "paddleocr" languages: ["en", "latin"] use_gpu: false use_angle_cls: true det_db_thresh: 0.3 det_db_box_thresh: 0.6 det_db_unclip_ratio: 1.5 rec_batch_num: 6 cpu_threads: 4 processing: workers: 4 batch_size: 10 retry_attempts: 2 timeout_per_image: 120 skip_existing: true detectors: figures: enabled: true model: "lp://PubLayNet/faster_rcnn_R_50_FPN_3x/config" confidence_threshold: 0.7 tables: enabled: true model: "microsoft/table-transformer-detection" confidence_threshold: 0.7 captions: enabled: true model: "lp://PubLayNet/faster_rcnn_R_50_FPN_3x/config" confidence_threshold: 0.5 entities: enabled: true model: "en_core_sci_lg" types: - "GENE" - "PROTEIN" - "CHEMICAL" - "SPECIES" - "DISEASE" - "CELL_LINE" - "ORGANISM" - "CELL_TYPE" merge_entities: true citations: regex_enabled: true grobid_enabled: false grobid_url: "http://localhost:8070" grobid_timeout: 30 chunking: chunk_size: 1000 chunk_overlap: 200 separators: ["\n\n", "\n", ". ", " ", ""] keep_separator: true output: write_consolidated: true consolidated_filename: "all_ocr.md" # Uses platformdirs default: ~/.local/share/ocr-pipeline (Linux), ~/Library/Application Support/ocr-pipeline (macOS), %LOCALAPPDATA%\ocr-pipeline (Windows) format: "markdown" organize_by: "date_run" frontmatter: fields: - "source_path" - "source_hash" - "timestamp" - "ocr_engine" - "ocr_confidence_mean" - "language" - "detected_entities" - "has_figures" - "has_tables" - "citations_found" - "chunk_index" - "total_chunks" include_raw_text: false watch: enabled: true debounce_seconds: 5 # Uses platform-aware defaults from config.py # ignore_patterns: # - ".DS_Store" # - "*.tmp" # - "*.partial" # - "*.crdownload" poll_interval: 1.0