ilia
2c28a623fb
- ocr/: Tesseract-based vendor/date/total extraction. PSM 6 (single uniform text block) instead of the default fixes receipts where item-name/price columns were otherwise split into separate blocks and dropped. Vendor line picked by median (not max) word height within the top fraction of the crop, breaking ties by topmost line - max() was fooled by single descender/ascender glyphs (commas, parens) inflating one word's bounding box. - naming/: merge OCR metadata into YYYY-MM-DD_vendor.pdf filenames, degrading gracefully to UNSORTED_<timestamp>.pdf; per-run dedup. - pdf/: img2pdf-based multi-page-capable assembly (images_to_pdf). - pipeline.run_export(): OCR + name + PDF each detected crop from a detect() report, writes pdf/ and export_summary.csv. - New `paperpod export <video>` CLI command. - Verified against synthetic Home Depot/Metro/Petro-Canada receipts: 3/3 correct vendor, date, and total after tuning. Known limitation (documented in README): no page-flip/multi-page grouping yet (that's events/, still unbuilt) - every detected document becomes its own single-page PDF.
14 lines
552 B
Python
14 lines
552 B
Python
"""Module 7 (partial): assemble page images into PDFs (img2pdf).
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images_to_pdf() supports multi-page PDFs given an ordered list of image
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paths, but nothing yet decides *which* crops belong together as one
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document — that's module 3 (events/, page-flip vs. new-document detection),
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which isn't built. Until then, paperpod.pipeline.export_pdfs treats every
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detected crop as its own single-page PDF. Staging into a Paperless-ngx
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consume directory is also not wired up yet.
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"""
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from paperpod.pdf.build import images_to_pdf
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__all__ = ["images_to_pdf"]
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