You will get a custom AI API that extracts clean, structured JSON from your PDFs
Project details
Stop paying people to retype PDFs. I build an API that reads your documents and returns clean, structured JSON your software can use.
Send a sample document and the fields you want pulled out — invoices, receipts, purchase orders, resumes, statements, contracts, anything text-based — and I deliver a working extraction service built around a JSON schema you approve. It runs on Claude or OpenAI (your API key), validates every field, and returns predictable JSON instead of brittle regex.
What you get:
• Output shaped to YOUR fields, not a generic template
• Real testing on your real sample PDFs before delivery — true output, not a demo
• Privacy-first: documents are processed in memory and discarded, nothing stored
• Clean code you own, plus a Loom walkthrough so you or your dev can run and extend it
I've already built this exact pattern — a stateless PDF-to-JSON API with token auth, rate limiting, and schema validation — so you get a proven architecture, not an experiment.
I'm new to Upwork, so the entry tier is priced low to earn first reviews. Tell me your document type and target fields and I'll tell you exactly how I'd build it before you spend a dollar.
Send a sample document and the fields you want pulled out — invoices, receipts, purchase orders, resumes, statements, contracts, anything text-based — and I deliver a working extraction service built around a JSON schema you approve. It runs on Claude or OpenAI (your API key), validates every field, and returns predictable JSON instead of brittle regex.
What you get:
• Output shaped to YOUR fields, not a generic template
• Real testing on your real sample PDFs before delivery — true output, not a demo
• Privacy-first: documents are processed in memory and discarded, nothing stored
• Clean code you own, plus a Loom walkthrough so you or your dev can run and extend it
I've already built this exact pattern — a stateless PDF-to-JSON API with token auth, rate limiting, and schema validation — so you get a proven architecture, not an experiment.
I'm new to Upwork, so the entry tier is priced low to earn first reviews. Tell me your document type and target fields and I'll tell you exactly how I'd build it before you spend a dollar.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI-Enhanced Classification, Natural Language Understanding, Text RecognitionAI Development Language
PythonAI Models
ChatGPT, GPT-3, GPT-4What's included
| Service Tiers |
Starter
$55
|
Standard
$180
|
Advanced
$480
|
|---|---|---|---|
| Delivery Time | 3 days | 6 days | 12 days |
Number of Revisions | 1 | 2 | 2 |
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 | - | - | - |
About Tony
AI Agent & MCP Engineer | RAG, LLM Integration, Full-Stack AI Apps
Alpharetta, United States - 3:03 am local time
I'm a US-based, code-first AI engineer (Nexus Digital Group). Real systems I've shipped:
- A 26-agent autonomous marketing department on the Claude Agent SDK (Next.js, compliance hooks) running across 7 coordinated departments
- A conversational pricing assistant wired to a LIVE MCP server, with an agentic workflow and guardrails
- A citation-backed RAG chatbot that grounds every answer in your docs and never fabricates (Vercel AI SDK + Claude)
- A PDF-to-JSON extraction API — stateless, schema-validated, Claude-backed
- A multi-tenant AI SaaS app (Next.js/Supabase/Stripe) and a digital origination platform with 15+ third-party API integrations
What I deliver:
- AI agents & MCP servers — multi-agent orchestration, tool use, guardrails, the Claude Agent SDK
- RAG chatbots — citation-backed, grounded in your docs, built so they don't hallucinate
- Full-stack AI apps — Next.js / TypeScript / React, Supabase, Stripe, plus React Native mobile
- Custom LLM & API integrations — OpenAI/Claude wired into your stack, your data, your auth
- Document & data extraction — PDF/Excel to clean, schema-validated JSON
How I work:
- Fixed price, scoped clearly up front — you know the cost before I start
- Same-week turnaround on most well-defined builds
- Every delivery includes a Loom walkthrough and a setup doc so you can run it yourself
- Tested against your real data before handoff — not a happy-path demo
Stack: Next.js, TypeScript, React, Node, Python, OpenAI/Claude APIs, LangChain, vector DBs, Playwright, Supabase, Stripe, React Native.
No Upwork reviews yet — I'm building my track record, so you get senior-level engineering at $35/hr and someone motivated to over-deliver. Send me what you're trying to build and I'll reply with exactly how I'd build it, a fixed price, and a realistic timeline.
Steps for completing your project
After purchasing the project, send requirements so Tony can start the project.
Delivery time starts when Tony receives requirements from you.
Tony works on your project following the steps below.
Revisions may occur after the delivery date.
Confirm fields & schema
I review your sample docs and target fields, confirm a clean fit, and define the exact JSON schema you approve.
Build the extraction service
I build the script or API on Claude or OpenAI with schema validation and an OCR path for scanned pages.