# PDF Strikethrough Review Extractor

Detect strikethrough-marked text in review PDFs and generate a report for contract, policy, and revision analysis

> Canonical page: https://elysiatools.com/en/tools/pdf-strikethrough-review-extractor

- **Category:** Developer Tools

- **Keywords:** pdf, strikethrough, review, contract, opendataloader

## Overview

Use OpenDataLoader strikethrough detection to surface removed text from review PDFs. This is useful for contracts, compliance drafts, internal reviews, and editorial comparison work.

## Inputs

- **PDF File** (file)
- **Pages** (text): e.g. 1,3,5-7
- **Use Struct Tree** (checkbox)

## When to use

- Analyzing redline-style contract drafts to identify exactly which clauses have been proposed for removal.
- Reviewing policy updates where changes are indicated by striking through old text in the document.
- Auditing editorial revisions in manuscripts or internal documents to verify deleted sections without manual searching.

## How it works

- Upload the PDF document containing strikethrough annotations or formatted text elements.
- Specify the page range if you only need to analyze specific sections or chapters of the document.
- The tool utilizes OpenDataLoader detection to scan the document's structure and identify text with strikethrough properties.
- An HTML report is generated, listing all detected strikethrough text for easy review and comparison.

## Use cases

- Legal professionals extracting deleted clauses from contract negotiations to summarize counterparty changes.
- Compliance officers reviewing policy changes to ensure old regulations are correctly identified for removal.
- Editors compiling a list of all deletions made during a manuscript review phase to track editorial history.

## Frequently asked questions

### Can I extract strikethrough text from specific pages?

Yes, use the Pages field to define specific page numbers or ranges such as 1, 3, or 5-7.

### What does the Use Struct Tree option do?

It enables the tool to use the PDF's internal structural metadata for more accurate text and formatting detection.

### Does this tool detect handwritten strikethroughs?

No, it is designed to detect digital strikethrough formatting applied to text elements within the PDF file.

### What format is the final report provided in?

The tool generates an HTML report that displays the extracted text clearly in a browser-friendly format.

### Is this tool suitable for legal redline documents?

Yes, it is specifically built to surface removed wording in contracts, legal drafts, and compliance documents.

## Related tools

- [Accessibility Audit Report Generator](https://elysiatools.com/en/tools/accessibility-audit-report-generator): Audit HTML or a URL for common WCAG issues and export a structured PDF report grouped by severity
- [PDF Header/Footer Noise Remover](https://elysiatools.com/en/tools/pdf-header-footer-noise-remover): Compare extraction with and without repeated page furniture to spot header/footer noise before using PDF text in RAG, summarization, or editing workflows
- [Tagged PDF Inspector](https://elysiatools.com/en/tools/tagged-pdf-inspector): Compare StructTree-enabled and plain PDF extraction to see whether a document behaves like a tagged PDF and how much semantic structure it exposes
- [PDF Page Range Extractor](https://elysiatools.com/en/tools/pdf-page-range-extractor): Extract only selected PDF pages with OpenDataLoader and export the subset as Markdown, JSON, or text
- [Formula / Chart Heavy PDF Analyzer](https://elysiatools.com/en/tools/formula-chart-heavy-pdf-analyzer): Compare local and hybrid OpenDataLoader extraction to identify PDF pages where formulas, charts, or dense visuals may need AI-assisted parsing
- [OCR PDF to Structured JSON Bridge](https://elysiatools.com/en/tools/ocr-pdf-to-structured-json-bridge): Extract the PDF text layer with geometry (lines by y-position, tables by column gaps, headings by font size, colon key-value pairs), then fill a user-supplied JSON Schema field by field — labels matched by normalized keys, values coerced to declared types and validated with ajv.
- [PDF Image & Caption Extractor](https://elysiatools.com/en/tools/pdf-image-caption-extractor): Extract images from PDFs, match nearby captions, and generate an HTML index package using OpenDataLoader
- [PDF Logical Structure Tree WCAG Role Mapping Validator](https://elysiatools.com/en/tools/pdf-logical-structure-tree-validator): Audit a tagged PDF's logical structure tree against PDF/UA-1 (ISO 14289-1) semantics: RoleMap termination, H1-H6 heading hierarchy, Alt text on Figure/Formula, RFC 3066 language tags, illegal nesting, and structure-vs-content MCID reading order — each finding labeled with its Matterhorn Protocol checkpoint.

## Samples

- [PDF Samples](https://elysiatools.com/en/samples/pdf-samples): Generated PDF samples from tools dated 2026-02-01 to 2026-02-10
- [Markdown Slide Deck Samples](https://elysiatools.com/en/samples/md-slide-deck-to-pdf): Remark/Marp style Markdown slide decks for testing PDF export layouts
- [Changelog Extractor Samples](https://elysiatools.com/en/samples/changelog-extractor): Various changelog formats for testing changelog parsing and extraction tools
- [Phone Number Extractor Samples](https://elysiatools.com/en/samples/phone-number-extractor): Collection of mixed text containing phone numbers from various countries for extraction testing

## Related content

- [PDF Extraction and Debugging Workflows](https://elysiatools.com/en/hubs/pdf-extraction-debugging-workflows): Debug hard PDF extraction cases by checking encryption, safety, page scope, reading order, OCR, tables, review marks, and structured output.
- [PDF LLM and RAG Preparation](https://elysiatools.com/en/hubs/pdf-llm-rag-prep): Turn PDFs into clean, safe, citation-ready inputs for LLM summarization, embedding, search, and RAG pipelines.
