You will get AI document extraction and validation for your business
Project details
I will build a custom AI-powered document extraction and validation workflow that turns messy PDFs, scans, forms, reports, invoices, spreadsheets, or operational documents into clean structured data.
The system can extract the fields you care about, validate them against your rules or reference data, flag uncertain/bad entries for human review, and export the final result to Excel, CSV, JSON, Google Sheets, a database, CRM, or API.
This is best for businesses that currently copy information from documents into spreadsheets or internal systems by hand and want a faster, more reliable workflow. Instead of blindly trusting AI output, I focus on the full pipeline: extraction, validation, error detection, review logic, and clean handoff.
My demo includes a working Python/FastAPI backend, structured JSON output, validation rules, human-review routing, sample data, and technical documentation. For your project, I will adapt the workflow to your actual documents, required fields, output format, and business rules.
The system can extract the fields you care about, validate them against your rules or reference data, flag uncertain/bad entries for human review, and export the final result to Excel, CSV, JSON, Google Sheets, a database, CRM, or API.
This is best for businesses that currently copy information from documents into spreadsheets or internal systems by hand and want a faster, more reliable workflow. Instead of blindly trusting AI output, I focus on the full pipeline: extraction, validation, error detection, review logic, and clean handoff.
My demo includes a working Python/FastAPI backend, structured JSON output, validation rules, human-review routing, sample data, and technical documentation. For your project, I will adapt the workflow to your actual documents, required fields, output format, and business rules.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Amazon SageMaker, Azure Machine Learning, Keras, MATLAB, MLflow, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$149
|
Standard
$499
|
Advanced
$1,250
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 8 days |
Number of Revisions | 1 | 2 | 4 |
AI Model Integration | - | ||
Detailed Code Comments | - | ||
Knowledge Graph | - | - | |
Model Documentation | - | ||
Ontology | - | - | |
Source Code | - | ||
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Extra document type
(+ 2 Days)
+$150Frequently asked questions
About Wael
AI Workflow Automation & Operations Systems | Zapier, Airtable, CRM
Dubai, United Arab Emirates - 1:15 am local time
If your team is wasting time copying data between spreadsheets, forms, CRMs, PDFs, inboxes, or client reports, I can help you build a simple workflow that saves hours every week.
What I can help with:
* AI-assisted admin workflows
* Google Sheets / Excel automation
* Airtable databases and dashboards
* Zapier / Make workflow automation
* CRM cleanup and lead tracking systems
* Client intake forms and reporting systems
* SOPs and operations documentation
* Simple AI agents for repetitive business tasks
I focus on practical systems, not overcomplicated software. My goal is to understand the workflow, remove the repetitive steps, and deliver something your team can actually use.
Common projects:
* Turn a messy spreadsheet into a clean tracking dashboard
* Automate form responses into client-ready reports
* Build a lead tracker or sales pipeline
* Create an operations dashboard for a small team
* Clean and organize business data
* Document a repeatable workflow into a clear SOP
I am available for fixed-price projects and fast 12-24 hour turnaround work.
Steps for completing your project
After purchasing the project, send requirements so Wael can start the project.
Delivery time starts when Wael receives requirements from you.
Wael works on your project following the steps below.
Revisions may occur after the delivery date.
Review your documents and workflow
I review your sample documents, target output format, required fields, and the manual process you want to automate.
Define the extraction and validation rules
We map exactly what should be extracted and what rules the system should use to catch bad, missing, inconsistent, or low-confidence data.