glmocr-sdk

You can extract structured data from PDFs and images by parsing documents to identify text blocks and tables, which returns labeled regions with bounding boxes as structured JSON and Markdown outputs for automation.

Digitize invoices and receipts into JSON by running a document parsing command on single files or directories, which extracts text blocks and tables into machine-readable structured data for automated ingestion.

Yes, this OCR tool returns both formats. It provides structured JSON with labeled regions and bounding boxes for automation, alongside Markdown summaries to ensure human readability of the extracted document content.

Yes, you need an API key configured in your environment to parse documents with this library. You must also install the glmocr library, which supports CLI or Python usage with optional layout and model configurations.

Yes, you can process a directory of scanned reports at once. The tool supports parsing single files or entire directories with minimal setup, applying optional layout configurations to extract structured regions efficiently.

The best way to extract text blocks and tables from scans is using a parsing tool that identifies document regions with labels and bounding boxes, converting visual content into structured JSON and Markdown data.