glmocr-handwriting

What problem does it solve?

Convert handwritten content in images and PDFs into accurate, editable text so users can search, archive, and repurpose notes, letters, annotations, and forms without manual transcription.

Core Features & Use Cases

• Handwritten OCR: Extracts multi-style handwritten text including cursive and printed handwriting.
• Multi-language & Mixed Content: Supports Chinese, English, and mixed handwritten/printed documents.
• Flexible Inputs: Accepts local files or remote URLs and returns markdown-formatted extracted text and layout details.
• Use Case: Capture lecture notes or meeting whiteboard photos and convert them into editable text for summaries, indexing, or sharing.

Quick Start

Run the CLI against a local file or a URL while ensuring ZHIPU_API_KEY is set in the environment to produce extracted handwritten text and optional JSON output.