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Hebrew Ocr Forms

Verified93/100
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Process and extract data from scanned Israeli government forms using OCR. Supports Tabu (land registry), Tax Authority forms, Bituach Leumi documents, and other official Israeli paperwork. Use when user asks to OCR Hebrew documents, extract data from Israeli forms, "lesarek tofes", parse Tabu extract, read scanned tax form, or process Israeli government documents. Includes Hebrew OCR configuration, field extraction patterns, and RTL text handling. Do NOT use for handwritten Hebrew recognition (requires specialized models) or non-Israeli form processing.

Trust score 93/100 (Verified) · 216+ installs · 2 GitHub contributors · MIT license

The Problem

Israeli government forms still arrive in large volumes as scans and unstructured PDFs, with handwriting, stamps, and dense Hebrew text. Standard OCR tools struggle with Hebrew due to script direction, similar-looking characters, and low-quality scans. The result is hours of manual data entry and frequent errors.

skills-ilskills-ilLocalization
1.2.0MITGitHub
216installs2,419views
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npx skills-il add skills-il/localization@v1.2.0-hebrew-ocr-forms --skill hebrew-ocr-forms -a claude-code
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When to Apply

  • Extracting data from scanned Israeli forms (Tabu extract, Tofes 106, ishur nikui)
  • Batch-processing PDFs or images of Hebrew government documents, including multi-page PDFs
  • Detecting TIN, Israeli ID (teudat zehut), or gush/chelka from printed text
  • Choosing a Hebrew OCR engine (local Tesseract vs a cloud Vision API vs Claude Vision)
  • Validating extracted fields (Israeli ID check digit, date format)

Try These Prompts

Tax form OCR

How do I scan an income tax form 106 and extract its data: salary, withheld tax, and deductions, into a JSON structure?

Tabu extract

How do I extract data from a scanned Tabu (land registry) document? I need to retrieve property owners, block and parcel numbers, liens, and registrations.

Document validation

How do I validate that a scanned government document (such as an ID card or business license) is authentic and that the extracted data is accurate?

Frequently Asked Questions

Changelog

v1.2.0

Updated the Claude Vision model, wired the previously dead contrast-enhance flag, and added final-form letter, nikud, digit-order and multi-page PDF handling.

May 14, 2026

v1.1.0

Added OCR engine comparison (Tesseract vs Google Cloud Vision, AWS Textract, Azure Read, Claude Vision) and Reference Links. Added enriched content.

Apr 14, 2026

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