LightOnOCR-2-1B
Summary: LightOnOCR-2-1B is a compact 1B-parameter end-to-end multilingual vision-language model developed by LightOn. It converts document images, such as scans and photos, into clean, naturally ordered text while handling complex layouts, including tables, multi-column documents, and scientific notation. It is available through the IONOS CLOUD OpenAI-compatible API for production-ready OCR.
The model accepts image input only. PDFs must be converted to images before being sent to the API.
Intelligence
Speed
Sovereignty
Input
Output
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Moderate
High
High
Image
Text
Central parameters
Description: 1B-parameter end-to-end vision-language model for document OCR. Converts scans and images into clean, naturally ordered Markdown text. Handles complex layouts including tables, multi-column documents, scientific notation with LaTeX, and scanned material. The model always outputs Markdown-formatted text; text prompts are accepted by the API but do not influence the output format. The model accepts image input only. PDFs must be converted to images before being sent to the API.
Model identifier: lightonai/LightOnOCR-2-1B
IONOS CLOUD AI Model Hub Lifecycle and Alternatives
IONOS start date
End of Life
Alternative
Successor
February 23, 2026
N/A
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Origin
Provider
Country
License
Flavor
Release
Technology
Context window
Parameters
Architecture
Multilingual
Further details
Modalities
Text
Image
Audio
Output
Input
Not supported
Endpoints
Chat Completions
Embeddings
Image generation
v1/chat/completions
Not supported
Not supported
OCR Example
Note: LightOnOCR-2-1B accepts image input only. PDF input is not supported. If your source document is a PDF, convert each page to an image (for example, PNG or JPEG) before sending it to the API.
Note: LightOnOCR-2-1B always outputs Markdown-formatted text (including LaTeX spans for mathematical notation). The output format is embedded in the model weights and cannot be changed through text prompts. The API accepts a text field in the message content, but the model does not condition its output on it.
Features
Streaming
Reasoning
Tool calling
Not supported
Not supported
Not supported
Rate limits
Rate limits ensure fair usage and reliable access to the AI Model Hub. In addition to the contract-wide rate limits, no model-specific limits apply.
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