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feat(ats): extract PDF text with pypdf before Poppler (#369)

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* feat(ats): extract PDF text with pypdf before Poppler

Lead the ATS text-layer check with pypdf (BSD, optional pip install). Fall back to pdftotext -layout -enc UTF-8. No cache directory, no installer, no AGPL pymupdf. Windows users without Poppler still get a mechanical parseability check; visual review remains the last resort.

* Update verify_pdf.py

* Update apply.md

* Update verify_pdf.py

* Update verify_pdf.py
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sdrarunvarshan
2026-08-26 20:07:03 +02:00
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commit dea8140db2
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.claude/skills/job-application-assistant/05-cv-templates.md
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@@ -1,5 +1,5 @@
---
framework_version: 1.4.2
framework_version: 1.4.3
---
# CV Templates and Tailoring Guide
@@ -267,10 +267,10 @@ Restore the highest-relevance item that was previously cut — a CV that ends mi
Most employers run CVs through an ATS before a human sees them, and the ATS reads the PDF's embedded **text layer**, not the rendered page. A CV can pass visual inspection and still extract as garbage. After the layout passes the compile-and-inspect loop, verify the text layer:
```bash
cd cv && pdftotext -layout -enc UTF-8 main_<company>_<role>.pdf main_<company>_<role>.txt
python tools/verify_pdf.py cv/main_<company>_<role>.pdf --dump-text cv/main_<company>_<role>.txt
```
`pdftotext` comes from [poppler](https://poppler.freedesktop.org/), not the TeX distribution - it is an **optional** dependency. The `-enc UTF-8` flag is not optional: Xpdf-based `pdftotext` builds default to Latin-1 output, which makes every non-ASCII character in a perfectly good CV read back as a replacement character and fail the parseability check below for no real reason. If it is not installed, skip the mechanical check with a warning and rely on the visual PDF read for keyword coverage.
Extraction tries **pypdf** first (`pip install pypdf`, BSD license), then Poppler `pdftotext`. If a fallback still uses `pdftotext -layout`, it must also pass `-enc UTF-8`: Xpdf-based builds default to Latin-1, which makes every non-ASCII character in a perfectly good CV read back as a replacement character. If neither extractor is available, skip the mechanical check with a warning and rely on the visual PDF read for keyword coverage.
What to check in the extraction: