UTILITY BILL PARSING
Parse Verizon Bills with AI-Powered OCR
Parsepoint automatically extracts structured data from Verizon telecom bills. Stop manually keying in charges, usage totals, and account details from every Verizon invoice your team receives.
Why Verizon bills are hard to process manually
Verizon serves customers in US with telecom services. Here is what makes their bills challenging.
Verizon enterprise accounts combine wireless, Fios, and business solutions into multi-hundred-page consolidated statements with sub-account hierarchies.
Per-line wireless charges with device payment agreements, insurance, and add-on features create dense repeating blocks across large fleet accounts.
Surcharges and fees (federal USF, state telecom taxes, administrative charges) are jurisdiction-specific and calculated per service location.
Account credits, promotional pricing, and contract migration adjustments spread across billing sections, complicating total cost extraction.
What Parsepoint extracts from Verizon bills
Every field is validated, normalized, and delivered as structured data ready for your downstream systems.
Plan access charge
Device payment agreement
Line access charge per device
Federal USF contribution
Administrative and telco recovery
State and local surcharges
One-time charges and credits
Data usage and overage
How it works
Three steps from raw Verizon bills to structured, validated data.
Upload your Verizon bills
Drop PDFs, scanned images, or digital Verizon statements into Parsepoint. Batch upload hundreds of bills at once.
AI extracts and validates fields
Parsepoint's OCR and AI models identify every charge, usage total, and account detail specific to Verizon bill formats.
Structured data flows to your systems
Clean, normalized data exports to your ERP, energy management platform, or analytics tools via API or file download.
Ready to automate Verizon bill processing?
Stop spending hours on manual data entry. Parsepoint handles Verizon bills end to end so your team can focus on analysis and decision-making.