Extract text and bounds with confidence scores from dense images and large documents including handwritten text, printed documents, screenshots, and other visual content.

• Over 100+ languages with mixed language support. View all supported languages
• Charts, tables, graphs, mathematical equations, latex, code blocks, and more
• Multi-page documents and large PDFs
• High density images and low quality images

OCR extraction of an image

Bounding boxes mapped to the image

JSON output

object contains the extracted information defined in the schema. precontext contains the raw metadata such as bounding boxes and confidence scores.

OCR extraction of a PDF document

Document: https://arxiv.org/pdf/2602.04101

JSON output

The output is truncated for this example.

Run OCR task with raw output

Running OCR as a tasks with <task>ocr</task> in the system message make it cheaper and faster with a fixed structured output that's pre-defined.

Learn more about running a task.

JSON output