PDF OCR Tool

A PDF OCR tool that converts scanned documents into searchable text and editable content for indexing, editing, and data extraction.

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About This Tool

This tool performs automated OCR on PDF documents to produce machine-readable text and structured data. It supports multi-page PDFs, outputs in plain text, JSON, or searchable PDF, and can retain basic layout and tables where detectable. The core workflow segments pages, applies language-aware character recognition, and aggregates results with per-page confidence scoring for quality control. Downstream data can be extracted for indexing, search, or integration with NLP pipelines. Beneficiaries include researchers indexing archives, legal teams digitizing contracts, and knowledge workers converting scanned reports into editable content. Its unique value lies in configurable output formats and combined text plus layout-aware results, enabling efficient digitization without manual retyping. Core features include per-page text extraction, optional multi-language support, and support for table and layout structure where feasible; advanced users can enable batch processing and structured JSON exports for automation. Use cases span archival digitization, compliance documentation, and preparation of PDFs for machine learning pipelines.

How to Use

  1. Provide input_pdf via file payload (PDF) to the processing service.
  2. Optionally specify language(s) and desired output format (TXT, JSON, or PDF).
  3. Run OCR processing to extract text and metadata.
  4. Review extracted content in the preview or metadata bundle.
  5. Download or export the results in the chosen format.
How to use ocr tool for pdf

Frequently Asked Questions

Find Quick Answers

What file formats are supported for input?
The tool accepts PDF inputs, including scanned and image-based PDFs. While PDFs are primary, some pre-processed image formats may be accepted if converted to PDF. Text-based PDFs may yield higher accuracy with minimal processing.
Can it preserve layout and tables?
Layout and table retention are attempted where detectable. Text is extracted with page breaks and basic structure; complex multi-column layouts or dense tables may have partial preservation and require post-processing for perfect recreation.
Are there size or page limits?
Practical limits exist to preserve performance: very large multi-page PDFs may require chunking. Extremely large files can be split before processing without losing page-level segmentation or metadata, ensuring manageable turnaround times.

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