GLM-OCR — OCR AI Model
GLM-OCR reads a document image back as markdown with tables, formulas, code blocks and seals intact, not a flat wall of text. Multi-language, light on GPU, ten to forty seconds; handwriting suits DeepSeek OCR better.
What it does
GLM-OCR reads a document image back as markdown, with its tables, formulas, code blocks and seals intact rather than flattened into a wall of text.
It is a document-understanding model rather than a plain text recogniser: it reads the layout, so a dense table comes back as a table and a formula as a formula. Multi-language, light on GPU, ten to forty seconds. For handwriting, DeepSeek OCR is the better fit.
When to use it
- A business document with dense tables and a multi-column layout
- Mathematical formulas kept as formulas instead of mangled text
- Markdown out, with the headings and structure still standing
- Seals and stamps identified rather than read as noise
- Pulling out particular fields instead of the whole page
Details
- CategoryOCR
- Year2026
- LicenseMIT
Compliance & Provenance
- ProviderOpen-source (Zhipu) · Specialized
- EU AI Act RiskMinimal Risk
- Art. 50 TransparencyNot applicable
Inputs & Outputs
- ImageInputimage
- ImageOutputimage
Detected texts as an image
- TextOutputstring
Detected texts as markdown
Tags
Alternatives in Text Recognition(OCR)
- DeepSeekOCR
Multi-language + handwriting OCR. 30-60s.
- PaddleOCR
Printed-text OCR for Korean, Japanese, Chinese and English. Fast.
- Sarashina2.2-OCR
Japanese/English document OCR, vertical text.