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83 lines
3.6 KiB
Plaintext
83 lines
3.6 KiB
Plaintext
---
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title: Integrating MinerU PDF Parsing
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description: Use MinerU to parse PDF documents with image extraction, layout recognition, table recognition, and formula recognition
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---
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## Background
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PDF is a relatively complex file format. FastGPT's built-in PDF parser relies on the pdfjs library, which uses logical parsing and cannot effectively handle complex PDF files. When parsing PDFs containing images, tables, formulas, or other non-plain-text content, the results are often poor.
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There are several PDF parsing solutions available. [MinerU](https://github.com/opendatalab/MinerU) uses YOLO, PaddleOCR, and table recognition models for vision-based parsing, effectively extracting images, tables, formulas, and other complex content.
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Community edition users can add the `systemEnv.customPdfParse` configuration in `config.json` to use MinerU for PDF parsing. Commercial edition users can configure this directly in the Admin panel via the form -- details are covered in the tutorial below.
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## Tutorial
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Hardware requirements: 16GB+ GPU VRAM, minimum 16GB+ RAM (32GB+ recommended). See the [official page](https://github.com/opendatalab/MinerU) for other requirements.
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### 1. Install MinerU
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Quick Docker installation:
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Pull the fastgpt-mineru image --> Create and start the parsing service container --> Add the deployed URL to the FastGPT configuration file
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```dockerfile
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docker pull crpi-h3snc261q1dosroc.cn-hangzhou.personal.cr.aliyuncs.com/fastgpt_ck/mineru:v1
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docker run --gpus all -itd -p 7231:8001 --name mode_pdf_minerU crpi-h3snc261q1dosroc.cn-hangzhou.personal.cr.aliyuncs.com/fastgpt_ck/mineru:v1
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```
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This MinerU integration uses pipeline mode with built-in parallelization inside the Docker container. It creates multiple processes based on the number of GPUs to handle uploaded PDFs concurrently.
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### 2. Add FastGPT Configuration
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```json
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{
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xxx
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"systemEnv": {
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xxx
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"customPdfParse": {
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"url": "http://xxxx.com/v2/parse/file", // Custom PDF parsing service URL for MinerU
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"key": "", // Custom PDF parsing service key
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"doc2xKey": "", // doc2x service key
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"price": 0 // PDF parsing service price
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}
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}
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}
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```
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For the commercial edition, configure as shown below:
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**Note:** Services added via the configuration file require a restart to take effect.
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### 3. Test
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Upload a PDF file through the Knowledge Base and enable the `Enhanced PDF Parsing` option.
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After uploading, you should see the following logs (LOG_LEVEL must be set to info or debug):
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```
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[Info] 2024-12-05 15:04:42 Parsing files from an external service
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[Info] 2024-12-05 15:07:08 Custom file parsing is complete, time: 1316ms
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```
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Similarly, in apps you can enable `Enhanced PDF Parsing` in the file upload settings.
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## Results
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Using Tsinghua's [ChatDev Communicative Agents for Software Develop.pdf](https://arxiv.org/abs/2307.07924) as an example:
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The top row shows chunked results; the bottom row shows the original PDF. Images, formulas, and OCR handwriting are all extracted effectively.
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Note that [MinerU](https://github.com/opendatalab/MinerU) is licensed under `GPL-3.0 license`. Please ensure compliance with the license when using it.
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