ocr

OCR (image / scan → text)

Local, offline OCR via Tesseract — no API, no upload.

Step 0 — Detect

• macOS / Linux: command -v tesseract pdftoppm 2>/dev/null; tesseract --list-langs 2>/dev/null
• Windows: Get-Command tesseract -ErrorAction SilentlyContinue

Install: brew install tesseract / apt install tesseract-ocr / choco install tesseract. Language packs: tesseract-ocr-por (Portuguese), -eng (English), etc.

Image → text

tesseract input.png stdout -l eng
tesseract input.jpg stdout -l por+eng     # multi-language

Write to a file with tesseract input.png out → out.txt, then read with @read.

Scanned PDF → text

Rasterize pages first, then OCR each:

pdftoppm -png -r 300 scan.pdf page
for f in page-*.png; do tesseract "$f" stdout -l por+eng; done > scan.txt

(On Windows, loop with PowerShell Get-ChildItem page-*.png | % { tesseract $_.Name stdout -l por+eng }.)

Tips for accuracy

• Use 300 DPI for scans; higher helps small text.
• -l must match the document language — pick por for Portuguese, or it mangles accents.
• For skewed/noisy scans, mention that pre-processing (deskew/threshold via ImageMagick) improves results.

Rules

• Choose the language pack from the document, not the UI locale.
• Present the extracted text, then offer to summarize/translate/feed it to another skill.