Extractor Studio

Extractor Studio ingests URLs, PDFs, HTML pages, or document uploads and uses configurable templates to extract fields such as titles, dates, authors, prices, and meta data. It combines rule-based selectors with machine-learned recognition to populate structured records. Users can enable OCR for scanned documents, activate multilingual extraction, and apply normalization rules to ensure consistent units and terminology. The tool supports batch processing to scale across thousands of pages and provides per-field confidence scores to aid human review. Outputs are delivered in JSON, CSV, or YAML and can be exported via API for integration with SEO dashboards, content inventories, or data warehouses. Typical use cases include product page data harvesting, blog metadata extraction, invoice capture, and research summaries. Unique value lies in template-driven extraction that can be reused across sites, precision through hybrid methods, and seamless downstream integration for automated workflows. Security and privacy controls, including configurable retention and access policies, support enterprise adoption. This tool is designed for analysts, SEO specialists, and data engineers seeking repeatable, auditable extraction pipelines.