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PDF Generation Template Editor

Open-source visual PDF generation engine with customizable templates and developer-friendly APIs.

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Use Custom AI Models via Callbacks — C ​

Overview ​

Starting with SDK v4.1.0, ComPDF Conversion SDK exposes a callback-based extension point that lets you plug in your own AI inference engine for OCR, Layout Analysis, and Table Recognition. Instead of relying on the built-in DocumentAI model loaded by CPDF_SetDocumentAIModel, you can run inference with any model or service and return the result to the SDK as a JSON string.

When the relevant callback pair is registered on CConvertCallback, the SDK skips its built-in model invocation for that capability and consumes your JSON output instead. If a pair is left as NULL, the SDK falls back to the built-in DocumentAI model when available.

Callback Pairs ​

Each AI capability uses two callbacks: a trigger callback invoked by the SDK with the path to a page image saved as PNG in a temporary directory, and a result getter invoked by the SDK immediately afterwards to retrieve the JSON string.

CapabilityTrigger callbackResult getter callbackTriggered when
OCRocrget_ocr_resultenable_ocr = true
Layout Analysislayoutget_layout_resultenable_ai_layout = true or enable_ocr = true
Table Recognitiontableget_table_resultenable_ai_table_recognition = true and a table region is detected by layout analysis

Rules:

  • The trigger receives a UTF-8 path to a PNG file. Return true if inference succeeded, or false to make the SDK ignore the result for that page.
  • The getter must return a UTF-8 JSON C string. The pointer must remain valid until the SDK has finished parsing it, usually until the next call to the same getter.
  • Both callbacks for a capability must be set together. If only one is provided, the SDK falls back to the built-in path.
  • Coordinates in your JSON must be in the pixel space of the image received by the trigger, with top-left origin, X to the right, and Y down.

Sample ​

c
#include <stdbool.h>
#include <stddef.h>

#include "compdf_common_c.h"
#include "compdf_conversion_c.h"

static char g_ocr_json[4096];
static char g_layout_json[4096];
static char g_table_json[4096];

static bool MyOcrTrigger(const char* image_path)
{
    return RunMyOcrModel(image_path, g_ocr_json, sizeof(g_ocr_json));
}

static const char* MyOcrGetter(void)
{
    return g_ocr_json;
}

static bool MyLayoutTrigger(const char* image_path)
{
    return RunMyLayoutModel(image_path, g_layout_json, sizeof(g_layout_json));
}

static const char* MyLayoutGetter(void)
{
    return g_layout_json;
}

static bool MyTableTrigger(const char* image_path)
{
    return RunMyTableModel(image_path, g_table_json, sizeof(g_table_json));
}

static const char* MyTableGetter(void)
{
    return g_table_json;
}

int main(void)
{
    CPDF_LicenseVerify("LICENSE_KEY", "device_id", "app_id");
    CPDF_Initialize(CPDF_TEXT("resource"));

    CConvertCallback callback = {0};
    callback.ocr = MyOcrTrigger;
    callback.get_ocr_result = MyOcrGetter;
    callback.layout = MyLayoutTrigger;
    callback.get_layout_result = MyLayoutGetter;
    callback.table = MyTableTrigger;
    callback.get_table_result = MyTableGetter;

    COCRLanguage languages[] = {e_CENGLISH};

    CConvertOption option = CPDF_DefaultConvertOption();
    option.enable_ocr = true;
    option.enable_ai_layout = true;
    option.languages = languages;
    option.language_count = 1;

    CPDF_StartPDFToWord(CPDF_TEXT("input.pdf"), CPDF_TEXT(""), CPDF_TEXT("output.docx"), option, &callback);
    CPDF_Release();
    return 0;
}

You can register only the capabilities you want to override and leave others as NULL to keep the built-in behavior.

Thread Safety and Lifetime ​

  • Callbacks are invoked from the SDK conversion thread. Implement them in a thread-safe manner if your model engine is shared across calls.
  • The PNG image at image_path lives in the SDK temporary directory and may be deleted shortly after the trigger returns. Copy or process it before returning.
  • The JSON pointer returned from a getter must remain valid until the same getter is called again or until the conversion task ends.

OCR Result JSON Schema ​

Returned by get_ocr_result. The SDK populates each text_spans[].chars[] either from words[] if provided, or by uniformly splitting the span rect.

json
{
  "text_spans": [
    {
      "text": "Hello World",
      "confidence": 0.98,
      "rotation": 0.0,
      "rect": { "left": 120, "top": 80, "right": 320, "bottom": 110 },
      "style": {
        "font_size": 18.0,
        "font_color": { "r": 0, "g": 0, "b": 0 }
      },
      "words": [
        { "text": "Hello", "rect": { "left": 120, "top": 80, "right": 200, "bottom": 110 } },
        { "text": "World", "rect": { "left": 210, "top": 80, "right": 320, "bottom": 110 } }
      ]
    }
  ]
}
FieldTypeRequiredDescription
text_spansarrayYesRecognized text spans on the page.
textstringYesUTF-8 text content of the span.
confidencenumberNo0.0 – 1.0. Spans below 0.1 are discarded.
rotationnumberNoText rotation in degrees. Default 0.
rectobjectYesBounding box in image pixels (left/top/right/bottom).
style.font_sizenumberNoEstimated font size in pixels.
style.font_colorobjectNo{ r, g, b } 0 – 255.
wordsarrayNoPer-word boxes. If omitted, the SDK splits the span rect evenly. Strongly recommended for CJK + Latin mixed lines for correct glyph spacing.

Layout Analysis Result JSON Schema ​

Returned by get_layout_result. Objects with confidence < 0.45 are discarded.

json
{
  "objects": [
    { "type": "title", "confidence": 0.95, "rect": { "left": 60, "top": 50, "right": 540, "bottom": 90 } },
    { "type": "paragraph", "confidence": 0.97, "rect": { "left": 60, "top": 100, "right": 540, "bottom": 220 } },
    { "type": "figure", "confidence": 0.92, "rect": { "left": 80, "top": 240, "right": 520, "bottom": 460 } },
    { "type": "table", "confidence": 0.93, "rect": { "left": 60, "top": 480, "right": 540, "bottom": 700 } }
  ]
}

Supported type values:

ValueMeaning
paragraphBody text paragraph
titleHeading
figureImage or figure
figure_titleFigure caption header
figure_captionFigure caption text
tableTable region. Whether the table is bordered or borderless is determined by the table recognition stage, not by the layout label.
table_titleTable caption header
table_captionTable caption text
ordered_listOrdered list
unordered_listUnordered list
catalogueTable of contents
formulaMath formula
codeCode block
algorithmAlgorithm block
headerPage header
footerPage footer
page_numberPage number
referenceReference or citation

Objects with a type value that is not listed above are ignored. Use the values in this table as the canonical layout labels in your custom output.

Table Recognition Result JSON Schema ​

Returned by get_table_result once per detected table region. Polygons use eight integers [x0, y0, x1, y1, x2, y2, x3, y3] in the order top-left, top-right, bottom-right, bottom-left.

json
{
  "type": "table_with_line",
  "position": [60, 480, 540, 480, 540, 700, 60, 700],
  "rows": 3,
  "cols": 2,
  "angle": 0.0,
  "height_of_rows": [40, 60, 60],
  "width_of_cols": [200, 280],
  "table_cells": [
    {
      "start_row": 0,
      "end_row": 0,
      "start_col": 0,
      "end_col": 0,
      "cell_background_color_r": 240,
      "cell_background_color_g": 240,
      "cell_background_color_b": 240,
      "position": [60, 480, 260, 480, 260, 520, 60, 520]
    }
  ]
}
FieldTypeDescription
typestringtable_with_line for bordered tables; any other value is treated as a non-standard (borderless) table.
positionint[8]Table polygon in image pixels.
rows / colsintRow / column counts.
anglenumberSkew angle in degrees.
height_of_rowsint[]Per-row pixel heights (length = rows).
width_of_colsint[]Per-column pixel widths (length = cols).
table_cells[]arrayOne entry per merged cell.
start_row / end_rowintInclusive row span of the cell.
start_col / end_colintInclusive column span of the cell.
cell_background_color_*intCell background color components (0 – 255).
positionint[8]Cell polygon in image pixels.

Tip: Validate Your JSON ​

If you need a reference output to compare against, run a conversion once with the built-in DocumentAI model. The SDK uses the same JSON shape internally, so your custom output should follow the same structure.