You will get I'll extract structured data from your PDFs using AI
Project details
Stop manually copying data from PDFs. I build AI extraction pipelines that pull exactly the fields you need — automatically, accurately, at scale.
Recent results: 95% extraction accuracy on 500+ scanned docs/hour | GPT-4o Vision for field-level precision | Pydantic JSON schema validation | AWS S3 + Lambda + DynamoDB for production storage.
I've built extraction systems for electricity bills, financial reports, and utility documents across 15+ countries — handling PDFs, scanned images, and multilingual documents.
What you get:
→ OCR pipeline for scanned or digital PDFs
→ GPT-4o field-level extraction with JSON schema
→ Pydantic validation to eliminate bad outputs
→ AWS cloud storage (S3, Lambda, DynamoDB) optional
→ Clean Python code + full setup instructions
Fixed scope. Fast delivery. Production-ready.
Recent results: 95% extraction accuracy on 500+ scanned docs/hour | GPT-4o Vision for field-level precision | Pydantic JSON schema validation | AWS S3 + Lambda + DynamoDB for production storage.
I've built extraction systems for electricity bills, financial reports, and utility documents across 15+ countries — handling PDFs, scanned images, and multilingual documents.
What you get:
→ OCR pipeline for scanned or digital PDFs
→ GPT-4o field-level extraction with JSON schema
→ Pydantic validation to eliminate bad outputs
→ AWS cloud storage (S3, Lambda, DynamoDB) optional
→ Clean Python code + full setup instructions
Fixed scope. Fast delivery. Production-ready.
AI Algorithms
AlexNet, Autoencoder, Convolutional Neural Network, Feedforward Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multilayer Perceptron, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI-Generated Code, AIOps, Conversational AI, Natural Language Generation, Natural Language Understanding, Synthetic Data GenerationAI Development Language
PythonAI Tools
GitHub Copilot, Gradio, Hugging Face, PyTorch, Streamlit, TensorFlowAI Models
BERT, ChatGPT, GPT-3, GPT-4, LLaMA, Naive Bayes Classifier, WhisperWhat's included
| Service Tiers |
Starter
$150
|
Standard
$250
|
Advanced
$450
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | - | ||
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | - | |
Model Documentation | - | - | |
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | - | |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code |
Optional add-ons
You can add these on the next page.
AWS deployment and cloud setup
(+ 2 Days)
+$75Frequently asked questions
About Gangatharan
GenAI Engineer - RAG, LangGraph, Multi-Agent Systems, LLM Pipelines
Bengaluru, India - 6:56 am local time
Recent results: 95% extraction accuracy on 500+ scanned docs/hour | 70% LLM token cost reduction | 60% runtime improvement via async batching | 99.5% uptime on financial data pipelines.
What I build for clients:
→ RAG chatbots on your documents (PDFs, scanned files, reports)
→ Multi-agent pipelines using LangGraph for data extraction & validation
→ MLOps infrastructure (MLflow, CI/CD, Docker, Kubernetes on AWS)
→ OCR + LLM pipelines for scanned/unstructured documents
Stack: LangChain, LangGraph, Gemini, GPT-4o, AWS, Docker, Kubernetes, PyTorch, Pydantic.
Fixed-price projects available. Fast delivery. Production-ready code.
Steps for completing your project
After purchasing the project, send requirements so Gangatharan can start the project.
Delivery time starts when Gangatharan receives requirements from you.
Gangatharan works on your project following the steps below.
Revisions may occur after the delivery date.
Document Analysis
Analyze your documents, identify field patterns, language, and choose best extraction model.
Pipeline Development
Build OCR + GPT-4o extraction pipeline with Pydantic schema validation and error handling.