Document AI / OCR App for Digitizing Magazine Images

## Job Title **Document AI / OCR App for Digitizing Magazine Images** ## Job Description I am looking for a developer to build a simple document-processing application for a large collection of magazine pages saved as PNG images. The application should process the images, extract the magazine text, identify important article information, and create organized digital files. The goal is to preserve the content while allowing the original image collection to be removed from storage. Magazine pages may include multiple columns, headings, captions, page numbers, advertisements, and images, so the solution should handle common magazine layouts. ## Required Features The application should: * Accept individual PNG images or folders containing many images. * Group multiple pages belonging to the same article when possible. * Extract the article text using OCR or a document AI service. * Preserve the correct reading order for multi-column layouts. * Identify: * Article title * Author * Publication date * Magazine or publication name, when available * Generate: * Full extracted text * A concise summary * A list of key points * Clearly mark information that could not be identified instead of inventing it. * Process large batches without requiring each image to be handled manually. * Save the results in an organized folder structure. Preferred output formats include Markdown, TXT, or JSON. A suggested article file might look like: ```markdown # Article Title **Author:** Author Name **Publication:** Magazine Name **Publication Date:** Month Day, Year **Source Images:** page_001.png, page_002.png ## Summary Brief summary of the article. ## Key Points - First important point - Second important point - Third important point ## Extracted Text Full article text in the correct reading order. ``` ## Deliverables * A working application or command-line tool; perferrablly a desktop application * Source code * Installation and setup instructions * Instructions for processing new folders of PNG images * Configurable output location and file format * Error logging for images that cannot be processed * A test run using a sample set of magazine images * Documentation of any external APIs, AI models, or ongoing usage costs ## Preferred Qualifications * Experience with OCR, document AI, or intelligent document processing * Experience handling multi-column magazine, newspaper, or scanned-document layouts * Python development experience * Experience with tools such as Tesseract, PaddleOCR, AWS Textract, Google Document AI, Azure Document Intelligence, or multimodal AI models * Experience producing structured metadata and AI-generated summaries * Ability to create a reliable batch-processing workflow ## When Applying Please include: 1. A brief description of your proposed technical approach. 2. Which OCR and AI tools you would use. 3. Whether the application would run locally, use cloud services, or use a combination of both. 4. Any estimated API or processing costs for a large image collection. 5. Examples of similar OCR or document-processing projects. 6. How you would handle articles that span multiple images or pages. 7. How you would verify the reading order and reduce OCR errors. Sample images may be sent upon request.