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44 lines
2.0 KiB
Markdown
44 lines
2.0 KiB
Markdown
# PaddleOCR
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Kotaemon provides two [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR) readers to enable document ingestion with full layout understanding, including multilingual text, tables, figures, formulas, and seals.
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- `PaddleOCRVLReader`: Wraps the PaddleOCR-VL 1.5 visual-language model for robust layout and VQA-based parsing.
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- `PPStructureV3Reader`: Uses the PPStructureV3 pipeline for structured layout analysis, including table and chart detection.
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Both readers are located under `kotaemon/loaders/paddleocr_loader`.
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## Prerequisites
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- Install PaddlePaddle:
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- Ensure that the installed PaddlePaddle version matches your system configuration and hardware (CPU/GPU). For additional wheel options, refer to the [PaddlePaddle official website](https://www.paddlepaddle.org.cn/install/quick?docurl=undefined).
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- Check device support for [PaddleOCR-VL](https://www.paddleocr.ai/main/en/version3.x/pipeline_usage/PaddleOCR-VL.html#inference-device-support-for-paddleocr-vl).
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```bash
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# CPU
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uv pip install paddlepaddle==3.3.0 -i https://www.paddlepaddle.org.cn/packages/stable/cpu/
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# gpu，requires GPU driver version ≥550.54.14 (Linux) or ≥550.54.14 (Windows)
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uv pip install paddlepaddle-gpu==3.3.0 -i https://www.paddlepaddle.org.cn/packages/stable/cu130/
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```
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- Install the PaddleOCR doc parser extras:
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```bash
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uv pip install -e "libs/kotaemon[paddleocr]"
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```
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- Configure the device: You can set the `PADDLE_DEVICE` environment variable in your .env file to control the execution device.
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```bash
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PADDLE_DEVICE=gpu # cpu, gpu:0
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```
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## Configure the loader
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1. Run Kotaemon and open the app UI.
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2. Navigate to Settings → File Loader (under indexing or ingestion settings).
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3. Select one of the PaddleOCR loaders:
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- `PaddleOCR PPStructureV3 (table+figure extraction)`
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- `PaddleOCR-VL (VLM document parsing)`
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4. Save the settings, then upload or ingest a document. Kotaemon will automatically use the selected PaddleOCR loader during indexing and convert extracted content into Document objects.
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