📜 In this video, I'll show you how to fully automate the extraction of company details from received PDF documents, Word files, and images (JPG/PNG) using n8n and various tools such as ChatGPT, PDF.co, Extract from File nodes, and LlamaIndex.
🚩 Manually entering details from invoices, certificates, and contracts is a waste of time, especially when you're processing dozens of such documents a day. Errors, copy-pasting, reconciliations—all of this can be automated.
⚙️ How it works:
You send a PDF or image to the Telegram bot.
detects the file type,
recognizes the text using PDF.co, the Extract from File node, or LlamaIndex,
receives a ready-made JSON file with the required fields: Taxpayer Identification Number (TIN), Checkpoint Registration Point (KPP), BIC (Bicode), bank account number (BAK), address, etc.
The entire process takes up to 15 seconds, and you receive accurate data.
🧠 Where applicable:
Accounting
Purchasing
Payment managers
CRM systems
Electronic document management
✅ If you want to eliminate routine work and make document management faster, more accurate, and error-free, this video is for you.
🔗 Useful links:
🚀 LlamaCloud:
https://cloud.llamaindex.ai/
🚀 LlamaCloud documents:
https://docs.cloud.llamaindex.ai/llam...
🚀 Installing n8n on your server (Beget):
https://beget.com/p2369657
📌 Follow us on social media and our projects:
🎬 Our YouTube channel: @AiMarketHub
💬 Telegram group for discussions: https://t.me/ai_n8n_hub
📢 Telegram channel with announcements: https://t.me/N8N_automatisation
🤖 ChatGPT without registering on our website:
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⏰ TIMESTAMPS:
00:00 - Introduction.
02:46 - Step 1: Setting up file reception in Telegram.
03:50 - Step 2: Setting up the Switsh node.
07:15 - Step 3: Setting up error notifications.
08:00 - Step 4: Using LlamaCloud and OpenAI nodes to process docx.
11:41 - Step 5: Using Extract from File and Code nodes.
15:00 - Step 6: Using PDF.co API nodes.
17:35 - Step 7: Using LlamaCloud and OpenAI nodes to process PDFs.
19:25 - Step 8: Using LlamaCloud and OpenAI nodes to process images.
21:14 - Step 9: Extracting data from images.
26:48 - A little about Mistral OCR and OCR Space.
28:10 - How to use multiple tools.
31:13 - Conclusion.
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