UTILITY BILL PARSING

Parse AT&T Bills with AI-Powered OCR

Parsepoint automatically extracts structured data from AT&T telecom bills. Stop manually keying in charges, usage totals, and account details from every AT&T invoice your team receives.

TelecomNationalhigh complexity

Why AT&T bills are hard to process manually

AT&T serves customers in US with telecom services. Here is what makes their bills challenging.

AT&T enterprise bills bundle wireless, wireline, internet, and managed services into consolidated invoices that can run hundreds of pages.

Wireless fleet accounts include per-line charges, device installments, international roaming, and data overage fees across dozens or hundreds of lines.

Federal and state regulatory fees (USF, E911, state telecom taxes) vary by jurisdiction and are calculated separately for each service address.

Bundled promotional discounts and contract credits span multiple service lines, making it difficult to isolate the true cost of individual services.

What Parsepoint extracts from AT&T bills

Every field is validated, normalized, and delivered as structured data ready for your downstream systems.

Monthly service charge

Equipment installment

Data usage charges

Federal Universal Service Fund

Regulatory cost recovery

State and local taxes

Administrative fee

Promotional discount credits

How it works

Three steps from raw AT&T bills to structured, validated data.

1

Upload your AT&T bills

Drop PDFs, scanned images, or digital AT&T statements into Parsepoint. Batch upload hundreds of bills at once.

2

AI extracts and validates fields

Parsepoint's OCR and AI models identify every charge, usage total, and account detail specific to AT&T bill formats.

3

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 AT&T bill processing?

Stop spending hours on manual data entry. Parsepoint handles AT&T bills end to end so your team can focus on analysis and decision-making.