Detect missing ZATCA Phase 2 invoice fields before submission.
The user uploads a vendor invoice (PDF or image), the system extracts text using OCR, maps values to the ZATCA Phase 2 data dictionary and UBL 2.1 schema rules, checks presence and format of mandatory fields, accepts non-standard layouts and multi-column structures, and generates a structured JSON object and field-level validation report in under two minutes for QA review.
OCR-powered
Beta opens soon — early testers get priority access.
Aligned to ZATCA Phase 2 data dictionary and UBL 2.1 schema rules.
Scenario in Practice
How the Agent Works in a Real Workflow
Challenge
A distributor receives many vendor invoice (PDF or image) files daily, and pre-booking ZATCA Phase 2 checks consume 3–4 hours of manual field-by-field review in spreadsheets.
Agent in Action
The team uploads each vendor invoice (PDF or image); the system extracts text, compares fields to ZATCA Phase 2 data dictionary and UBL 2.1 schema rules, and flags gaps.
Impact
The structured JSON object and field-level validation report shorten pre-booking checks to around 45 minutes per day, focusing AP calls only on invoices with specific missing ZATCA Phase 2 details.
Reduce ZATCA Schema Rejections Before ERP Posting
Finance teams processing vendor invoice (PDF or image) data often experience ZATCA Phase 2 schema rejections when required invoice elements such as address details or tax IDs are missing. The Mini-Agent extracts and compares values against the ZATCA Phase 2 data dictionary and UBL 2.1 schema rules, outputting a structured JSON object and field-level validation report for auditable review.
How It Works
Turn raw vendor invoices into ZATCA Phase 2 structures.
Upload or Connect Data
Upload a vendor invoice (PDF or image) through the web interface.
Extract & Compare
Extract text with OCR and map fields to ZATCA Phase 2.
Verify Against Standards
Check mandatory fields against ZATCA Phase 2 data dictionary and UBL 2.1.
Generate Compliance Report
Generate structured JSON object and field-level validation report with status flags.
Learn & Improve
incorporates user-supplied corrections to improve mapping consistency in future runs.
Review time: under 2 minutes per invoice. ZATCA Phase 2 aligned.
What You Provide / What You Get Back
Transparent flow from vendor invoice inputs to ZATCA Phase 2 data structures.
What You Provide
What You Get Back
Input Channels
Output Channels
Frequently Asked Questions
What types of files can this Mini-Agent process?
The Mini-Agent processes each vendor invoice (PDF or image) using OCR, including scanned documents and camera images with non-standard layouts, unusual fonts, or multi-column structures. It does not require a predefined invoice template. Once uploaded, the file passes through extraction, mapping, and validation steps before producing the structured JSON object and field-level validation report.
Which regulations and standards does the validation use?
The validation logic compares extracted values from each vendor invoice (PDF or image) against the ZATCA Phase 2 data dictionary for mandatory invoice elements and structural requirements, and against UBL 2.1 schema rules for element placement and data types. Outputs show how mapped fields align with these references but do not replace formal legal or tax advice.
How long does it take to process a vendor invoice (PDF or image)?
In typical conditions, processing a single vendor invoice (PDF or image) from upload through OCR, mapping to the ZATCA Phase 2 data dictionary, application of UBL 2.1 schema rules, and generation of the structured JSON object and field-level validation report takes under two minutes. Larger files or slower network connections can extend total elapsed time.
Does this Mini-Agent replace human QA review for ZATCA Phase 2 invoices?
No. The Mini-Agent structures and checks data from each vendor invoice (PDF or image) against the ZATCA Phase 2 data dictionary and UBL 2.1 schema rules, but finance and tax professionals still review the structured JSON object and field-level validation report, confirm interpretations for edge cases, and approve any corrections before ERP posting or ZATCA portal submission.
How does the structured JSON object help my ERP or middleware integration?
The structured JSON object represents the vendor invoice (PDF or image) in a normalized format with explicit field names corresponding to ZATCA Phase 2 requirements and UBL 2.1 schema rules. Technical teams map these JSON fields into existing ERP or middleware interfaces, reducing manual data entry and simplifying troubleshooting when specific mandatory fields cause posting or API errors.
What happens to a vendor invoice (PDF or image) after upload?
After the user uploads a vendor invoice (PDF or image), the system performs OCR extraction, maps detected values to ZATCA Phase 2 data dictionary fields, applies UBL 2.1 schema rules, and records validation results. The outputs are the structured JSON object and field-level validation report, which users download or retrieve via API for further processing and archiving.
Ready to try ZATCA Phase 2 Vendor Invoice Data Structure Validator?
Detect missing ZATCA Phase 2 invoice fields before submission.