You will get Document AI: OCR + LLM = extraction JSON for your documents


Project details
I build end-to-end document processing pipelines that turn messy PDFs/scans into clean, validated JSON you can automate on (ERP/CRM, databases, workflows).
My approach is document-agnostic: I adapt to your layouts/templates and define a clear JSON schema with field mapping and validation rules.
You get reproducible code, a working demo on your samples, and an output format that fits your needs (JSON files, CSV, or API-ready payloads).
Typical use cases: invoices, bank statements, receipts, contracts, forms, IDs, and custom business documents.
My approach is document-agnostic: I adapt to your layouts/templates and define a clear JSON schema with field mapping and validation rules.
You get reproducible code, a working demo on your samples, and an output format that fits your needs (JSON files, CSV, or API-ready payloads).
Typical use cases: invoices, bank statements, receipts, contracts, forms, IDs, and custom business documents.
AI Development Type
Deep Learning, Knowledge RepresentationAI Tools
OpenCVAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$50
|
Standard
$200
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 3 days | 10 days | 20 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | ||
Detailed Code Comments | |||
Knowledge Graph | - | - | - |
Model Documentation | |||
Ontology | - | - | - |
Source Code | - | ||
Taxonomy | - | - | - |
Frequently asked questions
About Nesrine
AI & Machine Learning | ETL
Tangier, Morocco - 7:54 pm local time
Steps for completing your project
After purchasing the project, send requirements so Nesrine can start the project.
Delivery time starts when Nesrine receives requirements from you.
Nesrine works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff & requirements
Review your samples, define document templates, target fields, and success criteria.
Schema & field mapping
Create/confirm the JSON schema and map each required field to document zones/logic.