Extract Document Text for Claude Context Windows
Transform dense books, research papers, and scanned archives into structured text optimized for Claude analysis.
Drop your file here
PDF, PNG, JPG, WebP, BMP
Challenges When Using Scanned PDFs with Claude
- Visual PDF uploads consume excessive context window tokens compared to clean structured text.
- Multi-column academic papers and footnotes lose their logical reading order in standard exports.
- Complex scripts like Arabic and Urdu get scrambled when relying solely on generic vision models.
- Large 50+ page archival scans exceed upload limits or cause slow response times.
Markdown Hierarchy Preservation
Retains headings, tables, and list structures so Claude can reason over document hierarchy.
Large Document & Book Digitization
Converts entire book chapters and research dissertations up to 1GB for Claude Projects.
Dual-Layer Searchable PDF
Generates downloadable PDF/A documents with underlying selectable text layers.
Academic & Archival Layout Analysis
Correctly sequences columns, sidebars, and footnotes in logical reading order.
Developer API for Claude Integrations
Automate document conversion for Claude pipelines, MCP tools, and backend workflows via REST API.
Frequently Asked Questions
How does pre-processing with FastOCR help Claude workflows?
Extracting clean Markdown text with FastOCR preserves reading order and headings, drastically reduces token consumption, and allows you to upload full books to Claude Projects.
Can Claude read the extracted text directly?
Yes. You can copy the plain text, download a Markdown (.md) file, or attach the clean text file directly into Claude.
Can I integrate FastOCR with Claude tools or APIs?
Yes. FastOCR provides a developer REST API that returns clean text, Markdown, or JSON for programmatic use in Claude workflows.
Does it support historical or non-Latin documents?
Yes. FastOCR supports 100+ languages, including Arabic, Farsi, Urdu, and historical European serif prints.
Need Multi-Page PDF OCR or Batch Processing?
Extract text from scanned PDFs, translate into 65+ languages, or process up to 25 files at once on the main FastOCR engine.
Explore Main FastOCR Engine →