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English
$
USD
I will create a local ocr, document data extraction and rag system
Ahsan Akhtar
About this gig
Hey there!
Are you looking to extract data from messy documents, PDFs, or images locally while keeping your data 100% private and secure?
I will build a custom, end-to-end Local OCR, Data Extraction, and RAG (Retrieval Augmented Generation) System tailored exactly to your documents. No cloud APIs, no data leaks just your own private AI pipeline running locally or deployed on your server.
What I Build For You:
- Local OCR Pipeline: Extract text accurately from PDFs, invoices, receipts, or scanned images without third-party APIs.
- Smart Data Extraction: Parse unstructured documents into clean, structured JSON, CSV, or database-ready formats.
- Custom RAG System: Connect your extracted data to a local vector database and LLM so you can chat with your documents, search instantly, and get accurate answers.
- Tech Stack: Python, LangChain, LlamaIndex, ChromaDB/FAISS, Ollama, Tesseract/EasyOCR.
Whether you need to process invoices automatically or build an offline corporate knowledge base, I've got you covered.
Message me before ordering so we can discuss your exact document types and workflow!
Get to know Ahsan Akhtar
Ahsan Akhtar
Hardship made me grow real fast
- FromPakistan
- Member sinceMay 2017
Languages
Urdu, English
Data Science and Machine Learning Engineer with 6 years of experience designing and deploying end-to-end business solutions that optimize workflow. I specialize in transforming complex datasets into reliable insights that drive critical business decisions. My expertise spans developing ML workflows, predictive analytics, web scraping automation, and production grade dashboards. I deploy models across major platforms including Cloudflare, Vercel, Render, and Streamlit.
My Portfolio
FAQ
Do I need internet access or cloud API keys (like OpenAI)?
No! The entire pipeline—from OCR to data extraction and RAG—can run 100% locally on your machine or private server using open-source models (like Ollama) for complete data privacy.
What types of documents can this system process?
It handles PDFs, scanned images (PNG, JPG), invoices, receipts, financial statements, and text documents. Custom parsers can be built for specific layouts.
What tech stack do you use?
I use Python along with industry-standard frameworks and tools like LangChain, LlamaIndex, ChromaDB/FAISS, and Tesseract or EasyOCR.
Can I chat with my extracted documents?
Yes! The RAG (Retrieval-Augmented Generation) component sets up a local vector database and chatbot interface so you can query your files instantly.
