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Document AI · Global

AI Document Processing and Extraction

AI document processing turns invoices, purchase orders, delivery notes, contracts and ID documents into validated data in your systems. Shyphan builds pipelines that read scanned and digital files with OCR and language models, check extracted fields against your master data, send uncertain items to a reviewer and post the rest into your ERP, CRM or database.

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Typical timeline4-6 week pilot
PricingFixed quote after discovery
Core stackAzure Document Intelligence · Google Document AI · AWS Textract
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At a glance

AI Document Processing and Extraction: the short answer

What it is
AI document processing uses OCR and AI models to classify documents, extract fields and tables, validate them and pass structured data to business systems.
Best suited to
Finance, procurement, logistics and onboarding teams that key in hundreds or thousands of documents a month from many suppliers, customers or formats.
Core stack
Azure Document Intelligence, Google Document AI, AWS Textract, OpenAI, Python, PostgreSQL
Typical timeline
A four to six week pilot on one workflow, measured against agreed success criteria, then a phased rollout.
What it costs
A fixed quote for the pilot after a free discovery call; model and hosting usage costs are shown separately.
Across markets
Tax fields by country; ID data and privacy law; Arabic and bilingual documents.
Delivered by
Shyphan AI Solutions: AI, Zoho, Odoo, Dynamics 365 and custom software under one team, with remote delivery worldwide.
Last reviewed
30 September 2026
Server racks along a data-centre aisle
Server racks along a data-centre aisle
4-6 week pilot typical time to a first go-live
Document AI

AI Document Processing and Extraction: who it is for

Finance, procurement, logistics and onboarding teams that key in hundreds or thousands of documents a month from many suppliers, customers or formats. AI document processing uses OCR and AI models to classify documents, extract fields and tables, validate them and pass structured data to business systems.

  • Supplier invoice capture
  • Contract data extraction
  • ID and KYC documents
  • Email and upload intake
What people in this role search for
intelligent document processinginvoice ocr automationai data extraction from pdfcontract data extractionkyc document aiaccounts payable automation ai
The stack

What we use to deliver AI Document Processing and Extraction

The tools we typically use. The final choice is made against your systems, budget and team.

Azure Document IntelligenceGoogle Document AIAWS TextractOpenAIPythonPostgreSQL
What we deliver

AI Document Processing and Extraction: what is included

AI document processing turns invoices, purchase orders, delivery notes, contracts and ID documents into validated data in your systems.

01

Supplier invoice capture

Extract supplier, invoice number, dates, tax amounts and line items from PDFs and scans, match them to purchase orders and goods receipts, and create draft bills in Zoho Books, Odoo or Business Central for approval.

02

Contract data extraction

Pull parties, dates, renewal terms, payment terms and liability clauses from contracts into a register, with the source clause linked. Legal staff review extracted terms rather than reading every page from scratch.

03

ID and KYC documents

Read passports, national IDs and trade licences for onboarding, check expiry dates and flag mismatches with the application form. Images and extracted data are stored with strict access and retention rules.

04

Email and upload intake

Documents arrive from a shared mailbox, upload portal, scanner or WhatsApp. Each is classified by type, split if several are bundled in one PDF, and routed to the right extraction model.

05

Validation and confidence

Extracted fields are checked against master data, tax maths and duplicate rules. Anything below the agreed confidence threshold goes to a review screen showing the image and the field side by side.

06

Posting into your systems

Approved data is posted through the API of your ERP, CRM or document system, with the original file attached to the record. An audit trail links each posted field back to the page it came from.

Real product screens

The systems it plugs into

Real screens from the platforms we work with. Yours are configured to your entities, processes and KPIs.

zoho.com
Executive KPI dashboard in Zoho Analytics (product screenshot)
Works with Zoho

Executive KPI dashboard in Zoho Analytics

Leads, conversions, revenue, expenses, profit, tickets and satisfaction on one board, drawn from Zoho CRM, Expense and Desk. Your AI assistant reads from and writes back to screens like this one, so nothing is re-keyed.

  • Supplier invoice capture
  • Contract data extraction
  • ID and KYC documents
Screenshot: Zoho Corporation (source). Shown for illustration; your screens are configured to your data.
odoo.com
Sales dashboard in Odoo (product screenshot)
Works with Odoo

Sales dashboard in Odoo

Quotations, orders, revenue and average order value with the monthly trend, built from live Odoo data. The same AI assistant connects to Odoo in exactly the same way.

  • Email and upload intake
  • Tax fields by country
  • ID data and privacy law
Screenshot: Odoo S.A. (source). Shown for illustration; your screens are configured to your data.
Across markets

How AI Document Processing and Extraction changes by market

Tax, e-invoicing, data protection and language rules differ by country. We confirm the current position for each market at scoping.

Tax fields by country

Extraction rules differ by market: VAT numbers and 15% VAT in Saudi Arabia, 5% VAT and TRN in the UAE, GSTIN and IRN references in India, 20% VAT in the UK. We confirm the current rules at scoping.

ID data and privacy law

ID and contract images carry sensitive personal data under GDPR, UK GDPR, India DPDP, UAE PDPL and Saudi PDPL. We limit who can view images, mask numbers where possible and delete files on schedule.

Arabic and bilingual documents

Many Gulf invoices and IDs mix Arabic and English. We test OCR on Arabic script and numerals and can run extraction in-region, for example on a regional Azure deployment.

How it works

How we deliver AI Document Processing and Extraction

Phases, indicative timing and what is delivered in each. Scope is fixed and quoted before we start.

1Week 1

Document sampling

Collect a representative sample of each document type, supplier layout and language, including poor scans.

2Weeks 1-2

Model selection

Test OCR and extraction options on the sample and agree field-level accuracy targets per document type.

3Weeks 2-5

Pipeline build

Build intake, extraction, validation rules, the review screen and the posting integration into your own systems.

4Weeks 5-6

Accuracy testing

Measure accuracy on a held-back test set and tune until each field meets its agreed target.

5Ongoing

Go live and improve

Monitor review rates and corrections, and feed corrected examples back to improve extraction over time.

When AI Document Processing and Extraction is the wrong answer

If your suppliers can already send structured e-invoices through Peppol, FATOORA or another e-invoicing network, receiving that data directly beats extracting it from PDFs. Very low volumes, a few dozen documents a month, rarely justify a pipeline. Handwritten forms in poor condition also stay error-prone and need heavier human review.

How we handle it: We implement Zoho, Odoo and Dynamics 365 and build AI and custom software, so our written recommendation can point you to a simpler option, or to doing nothing yet.

The Shyphan team at the Zoho booth, Zoholics Dubai 2026Shyphan consultants at Zoholics Dubai 2026
Who you will work with

One team, seven offices, delivery worldwide

We deliver AI projects from our headquarters in Noida, India, and offices in Ras Al Khaimah, Riyadh, Beirut, Istanbul, Lagos and London, with remote delivery worldwide and on-site workshops when a project needs them. Pictured: our team at Zoholics Dubai 2026.

PremiumZoho Partner tier
Top PartnerZoho MEA, Q3 2026
7 officesHQ in Noida, India
WorldwideRemote delivery
FAQ

AI Document Processing and Extraction: questions we get asked

What types of documents can AI document processing handle?
Invoices, receipts, purchase orders, delivery notes, bank statements, contracts, trade licences, passports and national IDs, as well as your own custom forms. Mixed bundles in one PDF can be split and classified automatically before extraction, so staff do not have to sort files first.
How is document processing different from an AI knowledge base?
Document processing extracts specific fields, such as invoice totals or contract dates, and posts them into systems. A knowledge base answers questions by retrieving passages from documents. One turns documents into data; the other turns them into answers.
How accurate is AI extraction?
It depends on document quality and layout variety, so we measure it on your own sample rather than quote a general figure. Each field gets an agreed accuracy target, and anything below the confidence threshold is sent to a person to check.
Can it post invoices directly into our ERP?
Yes. We post into Zoho Books, Odoo, Business Central and other systems with APIs, usually as draft bills for an accountant to approve. Duplicate checks and purchase order matching run before anything is created, and the original file is attached to the record.
Does it read Arabic invoices?
Yes. We test Arabic script, Arabic-Indic numerals and bilingual Arabic-English layouts during the sampling phase, and choose the OCR model that performs best on your own documents rather than on generic samples. Poor scans are included in testing so accuracy figures are realistic.
What does AI document processing cost to run?
Running cost is the OCR and model usage per page plus hosting, billed by the provider. We estimate cost per document during testing so you can compare it with manual keying. Build cost is a fixed quote after a free discovery call.
Why choose Shyphan?
We are a Zoho Premium Partner, an Official Odoo Partner and an independent Dynamics 365 consultancy that also builds AI and custom software, so we recommend by fit rather than by what we resell. We are headquartered in Noida, India, with seven offices and remote delivery worldwide.
Two people working on laptops at a desk
Get started

Talk to a consultant about AI Document Processing and Extraction

A free 30-minute call, then a written recommendation and a fixed quote, including the honest option that this is not the right fit.

Vikas Saroj, Co-Founder and COO at Shyphan AI Solutions

Written and reviewed by Vikas Saroj, Co-Founder, COO & Growth at Shyphan AI Solutions, who owns delivery across India, the Gulf and the UK. Last reviewed on 29 September 2026. Meet the team · LinkedIn