Nanonets-OCR-s
Nanonets-OCR-s is an OCR model that converts document images to structured Markdown, preserving layout (headings, lists, tables) and basic tags. The output is easy to parse and feed into LLM pipelines.
Capabilities
| Feature | Status |
|---|---|
| Context Length | 32k tokens |
| Input Data | Text+Image |
Usage
OCR
const modelResponse = await Azion.AI.run("nanonets/Nanonets-OCR-s", { "messages": [ { "role": "user", "content": [ { "type": "image_url", "image_url": { "url": "data:image/png;base64,{img_base64}" } }, { "type": "text", "text": "Extract the text from the above document as if you were reading it naturally. Return the tables in html format. Return the equations in LaTeX representation. If there is an image in the document and image caption is not present, add a small description of the image inside the <img></img> tag; otherwise, add the image caption inside <img></img>. Watermarks should be wrapped in brackets. Ex: <watermark>OFFICIAL COPY</watermark>. Page numbers should be wrapped in brackets. Ex: <page_number>14</page_number> or <page_number>9/22</page_number>. Prefer using ☐ and ☑ for check boxes." } ] } ], "max_tokens": 500})Response example:
{ "id": "chatcmpl-e27716424abf4b3f891ff4850470cb09", "object": "chat.completion", "created": 1746821581, "model": "nanonets/Nanonets-OCR-s", "choices": [ { "index": 0, "message": { "role": "assistant", "reasoning_content": null, "content": "E = mc^2", "tool_calls": [] }, "logprobs": null, "finish_reason": "stop", "stop_reason": null } ], "usage": { "prompt_tokens": 9, "total_tokens": 527, "completion_tokens": 518, "prompt_tokens_details": null }, "prompt_logprobs": null}JSON Schema
{ "$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "required": [ "messages" ], "properties": { "messages": { "type": "array", "items": { "$ref": "#/components/schemas/Message" } }, "temperature": { "type": "number", "minimum": 0, "maximum": 2 }, "top_p": { "type": "number", "minimum": 0, "maximum": 1, "default": 1 }, "n": { "type": "integer", "minimum": 1, "default": 1 }, "stream": { "type": "boolean", "default": false }, "max_tokens": { "type": "integer", "minimum": 1 }, "presence_penalty": { "type": "number", "minimum": -2, "maximum": 2, "default": 0 }, "frequency_penalty": { "type": "number", "minimum": -2, "maximum": 2, "default": 0 } }, "components": { "schemas": { "Message": { "oneOf": [ { "$ref": "#/components/schemas/SystemMessage" }, { "$ref": "#/components/schemas/UserMessage" }, { "$ref": "#/components/schemas/AssistantMessage" } ] }, "SystemMessage": { "type": "object", "required": [ "role", "content" ], "properties": { "role": { "type": "string", "enum": [ "system" ] }, "content": { "$ref": "#/components/schemas/TextContent" } } }, "UserMessage": { "type": "object", "required": [ "role", "content" ], "properties": { "role": { "type": "string", "enum": [ "user" ] }, "content": { "oneOf": [ { "type": "string" }, { "type": "array", "items": { "oneOf": [ { "$ref": "#/components/schemas/TextContentItem" }, { "$ref": "#/components/schemas/ImageContentItem" } ] } } ] } } }, "AssistantMessage": { "oneOf": [ { "$ref": "#/components/schemas/AssistantMessageWithoutToolCalls" } ] }, "AssistantMessageWithoutToolCalls": { "type": "object", "required": [ "role", "content" ], "properties": { "role": { "type": "string", "enum": [ "assistant" ] }, "content": { "$ref": "#/components/schemas/TextContent" } }, "not": { "required": [ "tool_calls" ] } }, "TextContent": { "oneOf": [ { "type": "string" }, { "type": "array", "items": { "$ref": "#/components/schemas/TextContentItem" } } ], "description": "Text content that can be provided either as a simple string or as an array of TextContentItem objects" }, "ImageContent": { "type": "array", "items": { "$ref": "#/components/schemas/ImageContentItem" } }, "TextContentItem": { "type": "object", "required": [ "type", "text" ], "properties": { "type": { "type": "string", "enum": [ "text" ] }, "text": { "type": "string" } } }, "ImageContentItem": { "type": "object", "required": [ "type", "image_url" ], "properties": { "type": { "type": "string", "enum": [ "image_url" ] }, "image_url": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "format": "uri" } } } } } } }}