Guides & Comparisons
Practical guides, OCR comparisons, and accuracy benchmarks on document extraction, from the team building it. No hype, just what works on real documents.
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
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