PDF Parsing Develop robust algorithms to extract content from complex PDF documents, including text, images, and metadata.
XML Generation Convert extracted PDF data into well-structured XML documents, ensuring adherence to industry standards and specific client requirements.
Data Cleaning and Validation Implement data cleaning processes to ensure data consistency and accuracy, handling inconsistencies, errors, and ambiguities throughout the conversion.
Customizations Develop tailored conversion solutions for specific client needs, including handling specialized PDF formats or custom data extraction formats.
Performance Optimization Optimize conversion processes for speed and efficiency, particularly when handling large and complex PDF documents.
Collaboration Work closely with cross functional teams, including content editors, developers, and project managers, to ensure the successful delivery of projects.
Required Skills and Qualifications- Proven experience in PDF parsing and content extraction for e-publishing or similar industries. Strong knowledge of tools such as ABBYY FineReader, Epsilon, Notepad++, and other relevant software for PDF extraction and processing. Handson experience with XML generation and ensuring proper structure and validation. Proficiency in handling large PDF documents, ensuring efficient parsing and optimization of workflows. Experience in data cleaning, validation, and ensuring data accuracy during conversions. Strong understanding of different PDF formats and the ability to create customized solutions for unique client requirements. Excellent problem-solving skills with attention to detail, particularly in handling ambiguous or inconsistent data.
Preferred Qualifications- Familiarity with additional e-publishing tools and technologies. Experience in automating PDF to XML conversion workflows. Understanding of industry standards for digital content distribution. Knowledge of scripting languages such as Python, JavaScript, or other relevant tools for automation is an added advantage.