You will get invoice PDFs converted into validated JSON or CSV
Project details
Send me up to 10 invoice PDFs, with a maximum of 20 total pages, and I will return clean, validated data in JSON, CSV, or both.
I process digital PDFs and clear scans. You can request fields such as vendor name, invoice number, dates, currency, taxes, totals, payment details, and line items. Each extracted field includes a confidence score and source citation, making the result easier to verify.
I will review your documents and confirm the extraction schema before starting. I will then parse or OCR the files, extract the requested fields, validate the results, and review low-confidence values. You will receive structured data ready for accounting, reporting, ERP import, or automation workflows.
This package includes one revision. Handwritten invoices, poor-quality scans, more than 20 pages, or API integration require a custom quote.
I process digital PDFs and clear scans. You can request fields such as vendor name, invoice number, dates, currency, taxes, totals, payment details, and line items. Each extracted field includes a confidence score and source citation, making the result easier to verify.
I will review your documents and confirm the extraction schema before starting. I will then parse or OCR the files, extract the requested fields, validate the results, and review low-confidence values. You will receive structured data ready for accounting, reporting, ERP import, or automation workflows.
This package includes one revision. Handwritten invoices, poor-quality scans, more than 20 pages, or API integration require a custom quote.
What's included $200
These options are included with the project scope.
$200
- Delivery Time 3 days
- Number of Pages Mined/Scraped 20
- Number of Sources Mined/Scraped 10
- Number of Revisions 1
Optional add-ons
You can add these on the next page.
Fast 1 Day Delivery
+$50About Pavankumar
AI Agent & RAG Engineer | Python, FastAPI, LLM Integrations
Wardha, India - 1:20 am local time
I can help with:
• Tool-using agents that call APIs or MCP servers, pause for approval, and run on a schedule
• RAG and semantic search over private documents, with citations and repeatable evaluations
• Invoice and document extraction from PDFs or scans into validated JSON/CSV with confidence scores
• FastAPI or Node services, web apps, Docker deployments, and cloud infrastructure
Examples of my work:
• An invoice extraction system that handles digital PDFs and scans, with a citation and confidence score for every field
• Search across more than 250K assets, with semantic results returned in 150 to 200ms
• Production LLM systems with routing, evaluations, monitoring, API integrations, and human approval
Stack: Python, FastAPI, TypeScript, React, Claude/OpenAI, vector databases, PostgreSQL, MongoDB, Docker, GCP, and OCI.
Tell me what the system needs to do, what data it can access, and the output you expect. I will suggest a small first milestone that tests the riskiest part before you fund a larger build. I work regularly with US teams and reply within one business day.
Steps for completing your project
After purchasing the project, send requirements so Pavankumar can start the project.
Delivery time starts when Pavankumar receives requirements from you.
Pavankumar works on your project following the steps below.
Revisions may occur after the delivery date.
Review files and extraction schema
I review the invoice layouts, requested fields, and output format before extraction.
Extract and validate the invoice data
I parse or OCR the files, extract the requested fields, validate the results, and add confidence scores and source citations.