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Type: prompter Subtype: see Settings For more information, see Generative OCR optimization.
Unstructured can produce generative OCR optimizations for workflows that are configured as follows:
  • With a Partitioner node set to use the Auto or High Res partitioning strategy, and a generative OCR optimizations node is added.
  • With a Partitioner node set to use the VLM partitioning strategy. No generative OCR optimization node is needed (or allowed).
Unstructured never produces generative OCR optimizations for workflows with a Partitioner node set to use the Fast partitioning strategy.
Generative OCR does not process any text blocks by default. You must also explicitly specify which document element types containing text that you want generative OCR to process.To do this, in a workflow’s High Res partitioner node, add each document element type that you want generative OCR to process to the extract_image_block_types list within the partitioner node’s settings field definition.Generative OCR processes only text that Unstructured recognized from the page by using conventional OCR models such as Tesseract. It skips any element whose text Unstructured extracted directly from the document’s own text layer, because that text already represents the original content accurately.

Settings

string
required
Enrichment algorithm and provider. Set at the WorkflowNode level, outside of settings. Allowed values:
  • anthropic_ocr
  • azure_openai_ocr
  • bedrock_ocr
  • openai_ocr
The preceding list applies only to Unstructured Let’s Go and Pay-As-You-Go accounts.For Unstructured Business accounts, to get your current list of available values, contact your Unstructured account administrator or Unstructured sales representative, or request support.
string
required
Provider that matches the prefix of subtype. Allowed values: anthropic, azure_openai, bedrock, openai.
string
required
Model to use for generative OCR. For a full list of the models available in Unstructured, see Available models.