paddleocr-doc-parsing

Automating document parsing with PaddleOCR involves sending images or PDFs to the API to extract structured text and layout. This Skill returns markdown-format results that preserve layout, reducing manual effort and improving consistency.

Yes, this document parsing workflow supports both small and large files. It provides synchronous modes for quick image parsing and asynchronous workflows for processing large PDFs, handling URL or local file inputs seamlessly.

To integrate with the PaddleOCR API, you must configure the PADDLEOCR_ACCESS_TOKEN and PADDLEOCR_API_URL environment variables. Enforcing these variables ensures secure automation and proper API authentication for your parsing tasks.

Yes, you can parse documents from a URL instead of using local files. The parsing script accepts both local files and remote URLs as input, sending them to PaddleOCR and returning structured layout results.

The OCR tool handles extraction errors and retries automatically during processing. It manages error handling and result extraction into a consistent JSON structure, ensuring reliable output even when processing large batches of files.

The output format for extracted text and layout from images and PDFs is Markdown. This format preserves the original document layout and text structure, returning results in a consistent JSON structure for easy integration.