You will get Local AI Invoice Pipeline: Extract, Match & Route Data
Project details
Get a pre-built, cloud-free AI document processing pipeline. DocFlow AI extracts, structures, and matches invoice data locally—with zero manual entry, zero cloud API fees, and zero compliance risks.
What the pre-built pipeline does:
1. Multi-format OCR: Reads scanned PDFs, images, and Word documents via Tesseract + pdf2image.
2. Local LLM Extraction: Runs Ollama (Qwen2.5/Mistral) to structure raw text into clean JSON (totals, dates, vendor details, and line items).
3. Semantic Inventory Matching: Uses a Qdrant vector store to match extracted line items against your product SKUs.
4. Confidence Scoring & Human-in-the-Loop: Auto-approves high-confidence entries and flags low-confidence ones for manual review.
5. n8n Automation: Pre-built workflow routes files, updates Slack, and triggers CSV exports or webhooks.
What you get delivered:
• Complete Dockerized codebase (FastAPI backend, Ollama, Qdrant database)
• Swagger API docs (localhost:8000/docs)
• Importable n8n workflow JSON file
• PDF Setup Guide for CPU & GPU installation
• 30-day post-delivery support for setup
What the pre-built pipeline does:
1. Multi-format OCR: Reads scanned PDFs, images, and Word documents via Tesseract + pdf2image.
2. Local LLM Extraction: Runs Ollama (Qwen2.5/Mistral) to structure raw text into clean JSON (totals, dates, vendor details, and line items).
3. Semantic Inventory Matching: Uses a Qdrant vector store to match extracted line items against your product SKUs.
4. Confidence Scoring & Human-in-the-Loop: Auto-approves high-confidence entries and flags low-confidence ones for manual review.
5. n8n Automation: Pre-built workflow routes files, updates Slack, and triggers CSV exports or webhooks.
What you get delivered:
• Complete Dockerized codebase (FastAPI backend, Ollama, Qdrant database)
• Swagger API docs (localhost:8000/docs)
• Importable n8n workflow JSON file
• PDF Setup Guide for CPU & GPU installation
• 30-day post-delivery support for setup
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI-Enhanced Classification, Image Processing, Natural Language Generation, Natural Language Understanding, Text RecognitionAI Development Language
PythonAI Tools
Hugging Face, PyTorchAI Models
LLaMAWhat's included
| Service Tiers |
Starter
$249
|
Standard
$549
|
Advanced
$1,499
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 3 | 5 |
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.
Fast Delivery
+$99 - $249
Additional Revision
+$99Frequently asked questions
About Junaid
BI & Automation Specialist | Power BI Dashboards | SQL | n8n
Lahore, Pakistan - 12:21 pm local time
I build end-to-end Business Intelligence systems. I design the SQL pipelines to clean your data, automate the workflows so they run without human intervention, and build Power BI dashboards your leadership team actually uses.
The result? Your team stops chasing data and starts making decisions.
I recently completed:
- An automated HR analytics system for a multinational BPO (a 20,000-person BPO), mapping burnout and turnover risk to intercept attrition before it happened.
- FleetIQ: A real-time Power BI dashboard for trucking fleets tracking true cost-per-mile and fuel efficiency, eliminating spreadsheet guesswork.
- A multi-channel e-commerce dashboard tracking sales, marketing, and inventory in real-time, eliminating manual reporting completely.
- An automated invoice processing pipeline that reduced manual processing times by 80%.
Core stack: Power BI / DAX / Power Query | n8n | Make | Zapier | SQL (PostgreSQL, MySQL) | Python | Google Analytics 4 | ETL pipelines | REST APIs
If you need data that drives decisions instead of just pretty charts, send me a message outlining your current reporting bottleneck. I'll tell you within 24 hours if I can solve it.
Steps for completing your project
After purchasing the project, send requirements so Junaid can start the project.
Delivery time starts when Junaid receives requirements from you.
Junaid works on your project following the steps below.
Revisions may occur after the delivery date.
Codebase Handover & Configuration
I will deliver the complete pre-built Docker-based codebase and setup documentation. We will schedule a session to configure the local LLM (Ollama) and Qdrant catalog database on your server.
OCR Setup & Custom Field Calibration
I will calibrate the OCR and LLM prompt templates to match your sample invoices, ensuring maximum extraction accuracy for your specific document layouts.