docs: Example on how to apply external OCR as post processing #2517
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PeterStaar-IBM
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…with "nanonets-ocr2-3b" via LM Studio Signed-off-by: Maksym Lysak <[email protected]>
Signed-off-by: Maksym Lysak <[email protected]>
Signed-off-by: Maksym Lysak <[email protected]>
Signed-off-by: Maksym Lysak <[email protected]>
Signed-off-by: Maksym Lysak <[email protected]>
Signed-off-by: Maksym Lysak <[email protected]>
Signed-off-by: Maksym Lysak <[email protected]>
…functions Signed-off-by: Maksym Lysak <[email protected]>
Signed-off-by: Christoph Auer <[email protected]>
Signed-off-by: Christoph Auer <[email protected]>
Signed-off-by: Maksym Lysak <[email protected]>
…reserving original text from json Signed-off-by: Maksym Lysak <[email protected]>
added 3 commits
November 27, 2025 09:03
…ble cells, form items), these are not sent to OCR Signed-off-by: Maksym Lysak <[email protected]>
Signed-off-by: Maksym Lysak <[email protected]>
Signed-off-by: Maksym Lysak <[email protected]>
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Example on how to apply OCR with "nanonets-ocr2-3b" via LM Studio in a post-processing of Docling Document.
It respects bounding boxes of layout, table cells, and key-values, and re-populate existing text (if any) with the text obtained from OCR for a given bounding box of an element.
This requires LM Studio running inference server with "nanonets-ocr2-3b" model pre-loaded.
Includes fix that ensures correct PIL image as an input in
api_image_request.pyChecklist: