ContextOCR.dev

ContextOCR transforms various file types into structurally rich Markdown, providing context-aware output for advanced document processing. Key capabilities include: * Convert PDFs, images, and emails to Markdown * Preserve document layout and table structures * Decode QR codes and barcodes * Generate descriptions for images * Extract attachments from .eml files This service is designed specifically for scenarios where plain text extraction falls short. It meticulously preserves tables, page breaks, image context, and decoded codes, ensuring that all critical information from your documents and emails is retained. It's an essential resource for giving processing agents the comprehensive context needed to perform actions based on detailed document content, or for enhancing Retrieval Augmented Generation (RAG) pipelines with structured, page-contextualized data. ContextOCR simplifies complex document processing, replacing the need for custom Optical Character Recognition (OCR) infrastructure. It handles file parsing, email rendering, barcode decoding, output cleanup, attached file processing, and smart formatting into Markdown. This allows teams to focus on core product development rather than building and maintaining intricate document ingestion systems. The API ensures that logos, screenshots, signatures, and other visual elements are described, and all decoded QR and barcode values are embedded directly into the Markdown. Ideal for engineering teams, data analysts, and developers building document-centric applications. It's particularly useful for those integrating document processing into custom applications, data management systems, or information retrieval pipelines that demand high fidelity in text and structural extraction from diverse document formats.