Text Extract API is a document extraction and parsing service that processes PDFs, Word documents, PowerPoint files, and images using OCR and language models.
The tool addresses the challenge of converting unstructured documents into machine-readable formats while handling sensitive information. It combines state-of-the-art OCR technology with Ollama-supported language models to extract text from documents and images, then structures the output as JSON or Markdown. The API also provides anonymization capabilities to identify and remove personally identifiable information from documents before processing or output.
Organizations handling document-heavy workflows should consider this tool if they need reliable extraction across multiple file formats combined with built-in privacy protection. It suits projects where documents arrive in varied formats and require both structured data extraction and PII removal. The tool is particularly relevant for workflows involving sensitive documents where compliance with data protection requirements is necessary.
The project shows active development with regular commits addressing bug fixes and feature improvements. Work spans multiple areas including core extraction functionality, model integration, and API enhancements. The codebase receives ongoing attention to code quality and documentation updates.
