Скачать или смотреть AI PDF Wizard — Issue #5 - PDF Processing Pipeline (Text Extraction & Metadata Storage) - Part 2

*📄 Description:*
In this video, we dive into *Issue #5* of the AI PDF Wizard project: building an **asynchronous PDF processing pipeline**.

✅ What we cover:

Setting up a *background worker* to process uploaded PDFs.
Implementing *text extraction* for non-image PDFs using Python.
Generating *per-page HTML* and storing it along with metadata.
Updating *PDFStatus* to track each stage (`uploaded → processing → embedding`).
Handling *image-only PDFs* and marking them for special processing.
Storing extracted data in *MongoDB* for later embedding and vectorization.
Ensuring the pipeline runs *asynchronously* without blocking uploads.

💡 Outcome:
Users can now upload PDFs, and the system automatically extracts text and HTML in the background, preparing the data for embeddings and AI processing in the next stage.

🔗 GitHub Issue: [Issue #5 — PDF Processing Pipeline](https://github.com/morteza-rostami-cs...)

📂 Next Steps:

Vectorization and embeddings (Issue #6)
Real-time status updates in the frontend