OCR turns a scanned image or photo into text a computer can read and search. Here's how it actually works, how AI OCR differs from the traditional kind, and where it shows up in everyday document processing.
Guides & Comparisons
AI document extraction guides.
Practical guides, OCR comparisons, and accuracy benchmarks on document extraction, from the team building it. No hype, just what works on real documents.
Grab receipts, taxi fare, meal allowances, gas slips: every reimbursement claim needs its receipt read and checked against policy. Here's how AI OCR extracts expense report data and flags what's outside limits before it's approved.
One supplier invoices with typed line items, the next with a scanned delivery receipt, a third with a spreadsheet printout. Here's how AI extraction reads vendor TIN, VAT, and EWT fields the same way regardless of layout.
Philippine lending apps read PhilSys IDs, UMIDs, payslips, and proof of billing in dozens of formats every day. Here's how automated KYC extraction verifies applicants in seconds instead of minutes, and stays aligned with BSP e-KYC rules.
BIR-compliant invoices carry a fixed set of fields: TIN, VAT breakdown, registered name, totals. Here's how AI OCR extracts them automatically, and what the BIR's e-invoicing mandate (EIS) means for bookkeeping by December 2026.
AI OCR matches trained patterns to zones. LLM document processing reads the whole page and reasons about meaning, so it survives layout changes without a new template. Here's the setup, accuracy, and cost difference, with 2026 benchmark data.
Bank statement OCR reads PDF and scanned statements and returns structured transactions, balances, and account details. Here's how fintech and lending teams use it for income verification and underwriting.
AI claims processing reads claim forms, policy documents, and clinical abstracts, then hands adjusters structured data instead of a stack of PDFs. Here's how the workflow works and what to check before choosing OCR software.
Textract wins on raw OCR at $0.0015 per page. Axia costs half to a third of Textract's $0.07 structured bundle and returns your schema directly. The full head-to-head on pricing, accuracy, and output, with real August 2026 numbers.
Small, Standard, and Large cost 1, 4, and 12 credits per page. Small and Standard run the same model, so the difference is schema shape, not accuracy. Here's how to pick the cheapest tier your schema fits.
AI OCR software reads invoices, bank statements, and IDs and hands back structured fields instead of raw text. Here's how it beats template OCR, and what to check before picking a tool.
AI service quotation extraction reads each workshop's PDF, pulls parts, labor, and totals into one normalized schema, and syncs the result into your fleet system through the REST API. Here's how it works end to end.
Invoice processing automation replaces manual keying with software that reads each invoice, extracts the fields, and flags only the ones it isn't sure about. Here's how small businesses set it up without disrupting AP.
Three generations of document reading, and they fail in completely different ways. Here's what separates template OCR, trained AI OCR, and GenAI OCR, and which one your documents actually need.
AI data extraction turns unstructured documents into structured fields without a template per layout. Here's how it works, where it beats rules-based tools, and how to judge whether it's accurate enough to trust.
Coming soon
More guides on the way
We're working on deeper pieces on extraction accuracy, schema design, and automating accounts payable end to end. Want to see Axia Extract on your own documents in the meantime?
Request a demo