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A React-ready PDF viewer that renders documents from URLs or files with programmatic access to pages, text content, and search results.
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About This Tool
Conceptually, the core uses a browser-based PDF parsing/rendering library to decode pages into canvases or vector representations and to extract selectable text. The tool is language-agnostic in its output, returning text blocks as strings with positions when text extraction is enabled. It supports loading multiple documents sequentially and provides events or callbacks for readiness and error states.
Who benefits: frontend engineers integrating document viewing into dashboards, educational apps, or research portals; QA teams validating content in PDFs; product teams measuring document-based workflows. Unique value lies in its client-side, zero-server footprint, deterministic behavior, and a stable API for programmatic access, search, and extraction.
Core features include source flexibility, text extraction, search indexing, and a predictable API surface. Optional features cover configuring page range, zoom, and pre-fetching strategies to optimize memory usage. Use cases include in-app document review, content indexing, and offline viewing when the source is already loaded.
How to Use
- Provide inputs: supply pdfSource (URL or File) and optional page_range, enable_text_extraction, and zoom.
- Initialize the viewer instance in your React component with the configuration.
- Load the document and await readiness (page_count available).
- Use the exposed API to navigate pages, perform search, or extract text as needed.
- Retrieve outputs (page_count, current_page, page_text) and handle any errors or fallbacks.
Frequently Asked Questions
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What sources are supported?
Can text be extracted programmatically?
Is loading offline possible?
How are large documents handled?
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